{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# BCMS Risk Quantification Model\n",
    "## ISO 22301 | ISO 31000 | NIST SP 800-34 Rev.1 — Business Impact Analysis Framework\n",
    "\n",
    "**Version:** 2.0 (Literature-Grounded, Beta-PERT + Poisson + Lognormal)\n",
    "author: Rudy Prasetiya | date: 2024-06-01 | rudyprasetiya.com\n",
    "\n",
    "---\n",
    "\n",
    "### Literature Foundation & Model Justification\n",
    "\n",
    "This notebook implements quantitative risk analysis for BCMS following the\n",
    "NIST SP 800-34 Rev. 1 BIA workflow (NIST, 2010) and validated by peer-reviewed literature:\n",
    "\n",
    "| Component | Distribution Used | Literature Justification |\n",
    "|-----------|------------------|--------------------------|\n",
    "| **Exposure Factor (EF)** | Beta-PERT | Vose (2000); Rees (2015) — Beta-PERT better captures skew than triangular for expert elicitation |\n",
    "| **MTTR / Recovery Time** | Log-Normal | Almog (1994); Garraghan et al. (2014) — empirically validated for repair/recovery time data |\n",
    "| **Annual Rate of Occurrence (ARO)** | Poisson | Eling & Wirfs (2015); He et al. (UWaterloo) — Poisson process models discrete rare events |\n",
    "| **Migration / Treatment Cost** | Log-Normal | Standard project cost modeling (Rees 2015) — cost estimates are right-skewed |\n",
    "| **Scenario Mixture** | Weighted mixture (60/30/10) | NIST SP 800-34 §3.2 — BIA prioritization tiers: Critical/Essential/Important |\n",
    "\n",
    "### NIST SP 800-34 BIA Workflow (7 Steps)\n",
    "\n",
    "```\n",
    "Step 1: Identify Critical Business Functions (CBF)\n",
    "Step 2: Identify Resource Requirements\n",
    "Step 3: Identify Recovery Priorities\n",
    "Step 4: Identify Outage Impacts & Estimated Downtime (MTPD, RTO, RPO)\n",
    "Step 5: Develop Recovery Time Objective (RTO) & Recovery Point Objective (RPO)\n",
    "Step 6: Quantify Financial Impact — SLE, ALE (ISO 31000 §6.4)\n",
    "Step 7: Monte Carlo Simulation for Uncertainty Propagation\n",
    "```\n",
    "\n",
    "### References\n",
    "- NIST SP 800-34 Rev. 1 (2010). *Contingency Planning Guide for Federal Information Systems*.\n",
    "- ISO 22301:2019. *Security and Resilience — Business Continuity Management Systems*.\n",
    "- ISO 31000:2018. *Risk Management — Guidelines*.\n",
    "- Vose, D. (2000). *Risk Analysis: A Quantitative Guide.* Wiley.\n",
    "- Rees, M. (2015). *Business Risk and Simulation Modelling in Practice.* Wiley.\n",
    "- Almog, R. (1994). *Application of the Lognormal Distribution to Corrective Maintenance Repair Time.* NPS.\n",
    "- Garraghan, P. et al. (2014). *Empirical Failure-Analysis of a Large-Scale Cloud Computing System.* IEEE ISSRE.\n",
    "- Eling, M. & Wirfs, J. (2015). *Modelling and Management of Cyber Risk.* IAALS Oslo.\n",
    "- He, Y. et al. (UWaterloo). *Cyber Risk Insurance Pricing Based on Optimised Portfolios.*\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a2fc72ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip3 install scipy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Libraries loaded. Random seed: 42.\n"
     ]
    }
   ],
   "source": [
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "# CELL 1 — IMPORTS AND SETUP\n",
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.gridspec as gridspec\n",
    "from scipy import stats\n",
    "from scipy.stats import lognorm, poisson, beta as beta_dist\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "np.random.seed(42)  # Reproducibility\n",
    "\n",
    "# Dark theme for all charts\n",
    "plt.rcParams.update({\n",
    "    'figure.facecolor': '#1c1b19',\n",
    "    'axes.facecolor':   '#1c1b19',\n",
    "    'axes.edgecolor':   '#393836',\n",
    "    'axes.labelcolor':  '#cdccca',\n",
    "    'xtick.color':      '#cdccca',\n",
    "    'ytick.color':      '#cdccca',\n",
    "    'text.color':       '#cdccca',\n",
    "    'grid.color':       '#262523',\n",
    "    'legend.facecolor': '#1c1b19',\n",
    "    'legend.edgecolor': '#393836',\n",
    "    'font.family':      'DejaVu Sans',\n",
    "    'font.size':         11,\n",
    "    'figure.dpi':        150,\n",
    "})\n",
    "\n",
    "print('✅ Libraries loaded. Random seed: 42.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## STEP 1–3: Business Parameters (NIST SP 800-34 BIA Input Layer)\n",
    "\n",
    "All parameters below are the **only values you need to change** for a different organisation.\n",
    "They map directly to NIST SP 800-34 Rev.1 BIA fields.\n",
    "\n",
    "| NIST BIA Field | Python Variable | Default Value |\n",
    "|---------------|----------------|---------------|\n",
    "| Asset Valuation | `ASSET_VALUE_USD` | USD 2,000,000 |\n",
    "| RTO (max downtime) | `RTO_TARGET_HRS` | 8 hours |\n",
    "| RPO (max data loss) | `RPO_TARGET_HRS` | 4 hours |\n",
    "| MTPD (viability boundary) | `MTPD_HRS` | 72 hours |\n",
    "| Cost per hour outage | `COST_PER_HOUR_USD` | USD 15,000 |\n",
    "| Treatment annualised cost | `TREATMENT_ANNUAL_COST` | USD 30,000 |\n",
    "| Monte Carlo iterations | `N_SIMULATIONS` | 10,000 |\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Parameters set.\n",
      "   Asset Value:       USD 2,000,000\n",
      "   RTO Target:        8h  |  RPO Target: 4h\n",
      "   MTPD:              72h\n",
      "   Cost/hour:         USD 15,000\n",
      "   MC Simulations:    10,000\n"
     ]
    }
   ],
   "source": [
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "# CELL 2 — BUSINESS PARAMETERS  ← EDIT THIS CELL FOR YOUR ORGANISATION\n",
    "# Source: NIST SP 800-34 Rev.1, §3.2 BIA\n",
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "\n",
    "# ── Asset & Financial Parameters ─────────────────────────────────────────────\n",
    "ASSET_VALUE_USD       = 2_000_000   # Revenue / asset value at risk (BIA Step 1)\n",
    "COST_PER_HOUR_USD     = 15_000      # Operational cost per hour of downtime\n",
    "TREATMENT_ANNUAL_COST = 30_000      # Annualised treatment cost (e.g. dual-carrier)\n",
    "RESIDUAL_RISK_FACTOR  = 0.40        # Residual risk after treatment (60% reduction)\n",
    "\n",
    "# ── Recovery Objectives (BIA Step 4 & 5) ─────────────────────────────────────\n",
    "RTO_TARGET_HRS = 8    # Recovery Time Objective — max acceptable downtime\n",
    "RPO_TARGET_HRS = 4    # Recovery Point Objective — max acceptable data loss (hours)\n",
    "MTPD_HRS       = 72   # Maximum Tolerable Period of Disruption (ISO 22301 Cl.8.2.2)\n",
    "MBCO_PCT       = 0.60 # Minimum Business Continuity Objective (60% capacity floor)\n",
    "\n",
    "# ── Simulation Parameters ─────────────────────────────────────────────────────\n",
    "N_SIMULATIONS  = 10_000  # Monte Carlo iterations (convergence tested: stable at 5k+)\n",
    "\n",
    "print('✅ Parameters set.')\n",
    "print(f'   Asset Value:       USD {ASSET_VALUE_USD:,.0f}')\n",
    "print(f'   RTO Target:        {RTO_TARGET_HRS}h  |  RPO Target: {RPO_TARGET_HRS}h')\n",
    "print(f'   MTPD:              {MTPD_HRS}h')\n",
    "print(f'   Cost/hour:         USD {COST_PER_HOUR_USD:,.0f}')\n",
    "print(f'   MC Simulations:    {N_SIMULATIONS:,}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## STEP 4: Distribution Assumptions\n",
    "\n",
    "### Why Beta-PERT for Exposure Factor?\n",
    "> *\"The PERT distribution is a special case of the Beta distribution governed by three parameters: minimum, most-likely, maximum. It is generally a more accurate representation of expert elicitation processes than the triangular distribution.\"*\n",
    "> — Rees (2015), *Business Risk and Simulation Modelling in Practice*, p. 97\n",
    "\n",
    "Beta-PERT formula (classic method, Vose 2000):\n",
    "$$\\mu = \\frac{a + 4m + b}{6}, \\quad \\alpha = 6 \\cdot \\frac{\\mu - a}{b - a}, \\quad \\beta = 6 \\cdot \\frac{b - \\mu}{b - a}$$\n",
    "\n",
    "### Why Log-Normal for MTTR?\n",
    "> *\"Server repair time was best fit by lognormal and log-logistic distribution classified by server architecture type, and lognormal across the entire system.\"*\n",
    "> — Garraghan et al. (2014), IEEE ISSRE\n",
    "\n",
    "### Why Poisson for ARO?\n",
    "> *\"Cyber incidents are well-described by compound Poisson processes, where arrival of events is Poisson-distributed.\"*\n",
    "> — Eling & Wirfs (2015), IAALS Oslo\n",
    "\n",
    "### Scenario Mixture: NIST SP 800-34 BIA Priority Tiers\n",
    "| NIST Tier | Scenario | Mix Weight | Rationale |\n",
    "|-----------|----------|------------|-----------|\n",
    "| Critical | Normal operations | ~60% | Day-to-day partial degradation |\n",
    "| Essential | Carrier degradation | ~30% | Route-level or link failure |\n",
    "| Important | Catastrophic outage | ~10% | Full path loss, physical damage |\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Distribution functions defined.\n",
      "   - beta_pert()          : Beta-PERT (Vose 2000)\n",
      "   - lognormal_from_moments(): Log-Normal MTTR (Garraghan et al. 2014)\n",
      "   - poisson_aro()        : Poisson ARO (Eling & Wirfs 2015)\n"
     ]
    }
   ],
   "source": [
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "# CELL 3 — DISTRIBUTION FUNCTIONS\n",
    "# Sources: Vose (2000), Rees (2015), Almog (1994), Garraghan et al. (2014)\n",
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "\n",
    "def beta_pert(a, m, b, size, k=4):\n",
    "    \"\"\"\n",
    "    Beta-PERT distribution (Vose 2000 classic method).\n",
    "    More accurate than triangular — weights the mode more heavily.\n",
    "    \n",
    "    Parameters:\n",
    "        a : float  — minimum (pessimistic)\n",
    "        m : float  — most likely (mode)\n",
    "        b : float  — maximum (optimistic)\n",
    "        k : int    — shape parameter (default 4 = classic PERT)\n",
    "    \n",
    "    Formula: mean = (a + k*m + b) / (k + 2)\n",
    "    \"\"\"\n",
    "    mean_val = (a + k * m + b) / (k + 2)\n",
    "    alpha    = (mean_val - a) / (b - a) * ((mean_val - a) * (b - mean_val) /\n",
    "               ((b - a) ** 2 / (k + 2) ** 2 + 1e-9) - 1)\n",
    "    # Fallback to stable parameterisation if alpha is degenerate\n",
    "    alpha = max(alpha, 0.5)\n",
    "    beta_p = alpha * (b - mean_val) / (mean_val - a + 1e-9)\n",
    "    beta_p = max(beta_p, 0.5)\n",
    "    samples = np.random.beta(alpha, beta_p, size)\n",
    "    return a + samples * (b - a)\n",
    "\n",
    "\n",
    "def lognormal_from_moments(mean, std, size):\n",
    "    \"\"\"\n",
    "    Log-Normal distribution parameterised from intuitive mean/std.\n",
    "    Source: Garraghan et al. (2014) — validated for repair/recovery time.\n",
    "    \"\"\"\n",
    "    sigma2 = np.log(1 + (std / mean) ** 2)\n",
    "    mu     = np.log(mean) - sigma2 / 2\n",
    "    return np.random.lognormal(mu, np.sqrt(sigma2), size)\n",
    "\n",
    "\n",
    "def poisson_aro(mean_rate, size):\n",
    "    \"\"\"\n",
    "    Poisson-based Annual Rate of Occurrence.\n",
    "    Source: Eling & Wirfs (2015) — compound Poisson process for cyber/outage events.\n",
    "    Returns continuous approximation for use in ALE formula.\n",
    "    \"\"\"\n",
    "    # Draw Poisson counts then add fractional noise for continuous ALE\n",
    "    counts = np.random.poisson(mean_rate, size).astype(float)\n",
    "    # Add small Gamma noise (shape=1) for within-year timing uncertainty\n",
    "    timing_noise = np.random.gamma(1.0, 0.15, size)\n",
    "    return np.clip(counts + timing_noise, 0.1, mean_rate * 4)\n",
    "\n",
    "\n",
    "print('✅ Distribution functions defined.')\n",
    "print('   - beta_pert()          : Beta-PERT (Vose 2000)')\n",
    "print('   - lognormal_from_moments(): Log-Normal MTTR (Garraghan et al. 2014)')\n",
    "print('   - poisson_aro()        : Poisson ARO (Eling & Wirfs 2015)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Scenarios generated. N = 10,000\n",
      "   Scenario A (Normal):       n = 5,979  (59.8%)\n",
      "   Scenario B (Degradation):  n = 2,998  (30.0%)\n",
      "   Scenario C (Catastrophic): n = 1,023  (10.2%)\n",
      "\n",
      "   MTTR — median: 11.7h | P90: 41.3h | P99: 72.0h\n"
     ]
    }
   ],
   "source": [
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "# CELL 4 — SCENARIO DEFINITIONS  (NIST SP 800-34 BIA Priority Tiers)\n",
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "\n",
    "N = N_SIMULATIONS\n",
    "\n",
    "# ── Scenario A: Normal Operations (60%) ─────────────────────────────────────\n",
    "# Corresponds to NIST BIA Tier: Critical activities only, partial degradation\n",
    "# EF source: expert elicitation; MTTR source: telecom incident reports\n",
    "EF_A    = beta_pert(a=0.10, m=0.20, b=0.35, size=N)   # Exposure factor\n",
    "MTTR_A  = lognormal_from_moments(mean=9,  std=4,  size=N)  # hours\n",
    "ARO_A   = poisson_aro(mean_rate=1.2, size=N)               # events/year\n",
    "\n",
    "# ── Scenario B: Carrier Degradation (30%) ───────────────────────────────────\n",
    "# Corresponds to NIST BIA Tier: Essential activities, link-level failure\n",
    "EF_B    = beta_pert(a=0.20, m=0.40, b=0.55, size=N)\n",
    "MTTR_B  = lognormal_from_moments(mean=24, std=12, size=N)\n",
    "ARO_B   = poisson_aro(mean_rate=0.6, size=N)\n",
    "\n",
    "# ── Scenario C: Catastrophic Outage (10%) ───────────────────────────────────\n",
    "# Corresponds to NIST BIA Tier: Important/Standard — full path loss\n",
    "EF_C    = beta_pert(a=0.35, m=0.55, b=0.80, size=N)\n",
    "MTTR_C  = lognormal_from_moments(mean=55, std=20, size=N)\n",
    "ARO_C   = poisson_aro(mean_rate=0.2, size=N)\n",
    "\n",
    "# ── Mixture Assignment ───────────────────────────────────────────────────────\n",
    "SCENARIO_WEIGHTS = [0.60, 0.30, 0.10]\n",
    "sc = np.random.choice([0, 1, 2], size=N, p=SCENARIO_WEIGHTS)\n",
    "\n",
    "EF   = np.where(sc == 0, EF_A,   np.where(sc == 1, EF_B,   EF_C))\n",
    "MTTR = np.where(sc == 0, MTTR_A, np.where(sc == 1, MTTR_B, MTTR_C))\n",
    "ARO  = np.where(sc == 0, ARO_A,  np.where(sc == 1, ARO_B,  ARO_C))\n",
    "\n",
    "# Clip MTTR to MTPD (viability boundary per ISO 22301)\n",
    "MTTR = np.clip(MTTR, 0.5, MTPD_HRS)\n",
    "\n",
    "print(f'✅ Scenarios generated. N = {N:,}')\n",
    "print(f'   Scenario A (Normal):       n = {(sc==0).sum():,}  ({(sc==0).mean()*100:.1f}%)')\n",
    "print(f'   Scenario B (Degradation):  n = {(sc==1).sum():,}  ({(sc==1).mean()*100:.1f}%)')\n",
    "print(f'   Scenario C (Catastrophic): n = {(sc==2).sum():,}  ({(sc==2).mean()*100:.1f}%)')\n",
    "print(f'\\n   MTTR — median: {np.median(MTTR):.1f}h | P90: {np.percentile(MTTR, 90):.1f}h | P99: {np.percentile(MTTR, 99):.1f}h')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## STEP 5–6: Risk Quantification — SLE, ALE, Downtime Cost\n",
    "\n",
    "### Formulas (ISO 31000 §6.4 + NIST SP 800-34 §3.2)\n",
    "\n",
    "$$\\text{SLE} = \\text{Asset Value} \\times \\text{Exposure Factor (EF)}$$\n",
    "\n",
    "$$\\text{ALE}_{\\text{no treatment}} = \\text{SLE} \\times \\text{ARO}$$\n",
    "\n",
    "$$\\text{ALE}_{\\text{with treatment}} = \\text{ALE}_{\\text{no treatment}} \\times r + C_{\\text{annual treatment}}$$\n",
    "\n",
    "Where $r$ = residual risk factor (default 0.40 = 60% risk reduction)\n",
    "\n",
    "$$\\text{Downtime Cost} = \\text{MTTR} \\times \\text{Cost/hour}$$\n",
    "\n",
    "$$\\text{Net Benefit of Treatment} = \\text{ALE}_{\\text{no treatment}} - \\text{ALE}_{\\text{with treatment}}$$\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Risk calculations complete.\n",
      "\n",
      "── SLE ──────────────────────────────────────\n",
      "   Median SLE:              USD      499,281\n",
      "   P90 SLE:                 USD      968,816\n",
      "\n",
      "── ALE (No Treatment) ────────────────────────\n",
      "   Median ALE:              USD      441,666\n",
      "   P90 ALE:                 USD    1,205,208\n",
      "   P99 ALE:                 USD    2,068,689\n",
      "\n",
      "── ALE (With Treatment) ──────────────────────\n",
      "   Median ALE:              USD      206,666\n",
      "   P90 ALE:                 USD      512,083\n",
      "\n",
      "── Net Benefit of Treatment ──────────────────\n",
      "   Median net benefit:      USD      235,000/yr\n",
      "   Payback period:          1.5 months (approx)\n",
      "\n",
      "── Breach Rates ──────────────────────────────\n",
      "   RTO breach (8h target):     71.3%\n",
      "   RPO breach (4h target):     50.1%\n",
      "   Both RTO & RPO breached:   49.4%\n",
      "   Within ALL targets:        28.0%\n",
      "   MTPD breach (72h):        0.0%\n"
     ]
    }
   ],
   "source": [
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "# CELL 5 — CORE RISK CALCULATIONS\n",
    "# ISO 31000 §6.4, NIST SP 800-34 §3.2\n",
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "\n",
    "# ── SLE & ALE ────────────────────────────────────────────────────────────────\n",
    "SLE          = ASSET_VALUE_USD * EF\n",
    "ALE_no_tx    = SLE * ARO\n",
    "\n",
    "# Treatment cost: lognormal for one-time investment (Rees 2015)\n",
    "migration_cost = lognormal_from_moments(mean=180_000, std=50_000, size=N)\n",
    "migration_cost = np.clip(migration_cost, 80_000, 400_000)\n",
    "ALE_with_tx    = ALE_no_tx * RESIDUAL_RISK_FACTOR + TREATMENT_ANNUAL_COST\n",
    "\n",
    "# ── Downtime & Data Loss ──────────────────────────────────────────────────────\n",
    "# Data loss window: proportion of MTTR (Beta-PERT: recovery is gradual)\n",
    "data_loss_ratio  = beta_pert(a=0.10, m=0.30, b=0.80, size=N)\n",
    "data_loss_hrs    = MTTR * data_loss_ratio\n",
    "downtime_cost    = MTTR * COST_PER_HOUR_USD\n",
    "\n",
    "# ── RTO / RPO Breach Flags ───────────────────────────────────────────────────\n",
    "rto_breach   = MTTR          > RTO_TARGET_HRS\n",
    "rpo_breach   = data_loss_hrs > RPO_TARGET_HRS\n",
    "mtpd_breach  = MTTR          > MTPD_HRS\n",
    "both_breach  = rto_breach & rpo_breach\n",
    "within_all   = ~rto_breach & ~rpo_breach\n",
    "\n",
    "# ── Net Benefit ───────────────────────────────────────────────────────────────\n",
    "net_benefit  = ALE_no_tx - ALE_with_tx\n",
    "\n",
    "print('✅ Risk calculations complete.')\n",
    "print(f'\\n── SLE ──────────────────────────────────────')\n",
    "print(f'   Median SLE:              USD {np.median(SLE):>12,.0f}')\n",
    "print(f'   P90 SLE:                 USD {np.percentile(SLE, 90):>12,.0f}')\n",
    "print(f'\\n── ALE (No Treatment) ────────────────────────')\n",
    "print(f'   Median ALE:              USD {np.median(ALE_no_tx):>12,.0f}')\n",
    "print(f'   P90 ALE:                 USD {np.percentile(ALE_no_tx, 90):>12,.0f}')\n",
    "print(f'   P99 ALE:                 USD {np.percentile(ALE_no_tx, 99):>12,.0f}')\n",
    "print(f'\\n── ALE (With Treatment) ──────────────────────')\n",
    "print(f'   Median ALE:              USD {np.median(ALE_with_tx):>12,.0f}')\n",
    "print(f'   P90 ALE:                 USD {np.percentile(ALE_with_tx, 90):>12,.0f}')\n",
    "print(f'\\n── Net Benefit of Treatment ──────────────────')\n",
    "print(f'   Median net benefit:      USD {np.median(net_benefit):>12,.0f}/yr')\n",
    "print(f'   Payback period:          {TREATMENT_ANNUAL_COST / np.median(net_benefit) * 12:.1f} months (approx)')\n",
    "print(f'\\n── Breach Rates ──────────────────────────────')\n",
    "print(f'   RTO breach ({RTO_TARGET_HRS}h target):   {rto_breach.mean()*100:>6.1f}%')\n",
    "print(f'   RPO breach ({RPO_TARGET_HRS}h target):   {rpo_breach.mean()*100:>6.1f}%')\n",
    "print(f'   Both RTO & RPO breached: {both_breach.mean()*100:>6.1f}%')\n",
    "print(f'   Within ALL targets:      {within_all.mean()*100:>6.1f}%')\n",
    "print(f'   MTPD breach ({MTPD_HRS}h):     {mtpd_breach.mean()*100:>6.1f}%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "── Full Summary Statistics ─────────────────────────────────────────────\n",
      "                     Metric       Mean        Std        P10        P25        P50        P75          P90          P95          P99\n",
      "        Exposure Factor (%)       0.30       0.13       0.17       0.20       0.25       0.40         0.48         0.56         0.66\n",
      "               MTTR (hours)      17.95      15.81       5.46       7.51      11.69      22.34        41.26        55.40        72.00\n",
      "          ARO (events/year)       1.06       0.99       0.10       0.13       1.03       1.54         2.30         3.08         4.16\n",
      "   Data Loss Window (hours)       6.28       6.19       1.58       2.39       4.01       7.61        14.43        19.60        30.41\n",
      "                  SLE (USD) 597,754.68 259,870.59 331,667.92 395,123.92 499,281.01 792,280.45   968,815.89 1,113,322.18 1,315,516.20\n",
      "     ALE No Treatment (USD) 546,660.76 495,559.89  55,050.78 102,572.43 441,665.94 857,634.50 1,205,208.46 1,540,899.11 2,068,689.16\n",
      "   ALE With Treatment (USD) 248,664.30 198,223.96  52,020.31  71,028.97 206,666.38 373,053.80   512,083.38   646,359.64   857,475.66\n",
      "Net Benefit Treatment (USD) 297,996.45 297,335.94   3,030.47  31,543.46 234,999.57 484,580.70   693,125.07   894,539.47 1,211,213.50\n",
      "        Downtime Cost (USD) 269,252.56 237,193.96  81,850.09 112,720.25 175,419.08 335,127.87   618,843.69   831,016.07 1,080,000.00\n",
      "\n",
      "✅ Saved: monte_carlo_summary_v2.csv\n"
     ]
    }
   ],
   "source": [
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "# CELL 6 — FULL SUMMARY STATISTICS TABLE\n",
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "\n",
    "def pct_stats(arr, label):\n",
    "    p = [10, 25, 50, 75, 90, 95, 99]\n",
    "    row = {'Metric': label, 'Mean': arr.mean(), 'Std': arr.std()}\n",
    "    for q in p:\n",
    "        row[f'P{q}'] = np.percentile(arr, q)\n",
    "    return row\n",
    "\n",
    "summary = pd.DataFrame([\n",
    "    pct_stats(EF,            'Exposure Factor (%)'),\n",
    "    pct_stats(MTTR,          'MTTR (hours)'),\n",
    "    pct_stats(ARO,           'ARO (events/year)'),\n",
    "    pct_stats(data_loss_hrs, 'Data Loss Window (hours)'),\n",
    "    pct_stats(SLE,           'SLE (USD)'),\n",
    "    pct_stats(ALE_no_tx,     'ALE No Treatment (USD)'),\n",
    "    pct_stats(ALE_with_tx,   'ALE With Treatment (USD)'),\n",
    "    pct_stats(net_benefit,   'Net Benefit Treatment (USD)'),\n",
    "    pct_stats(downtime_cost, 'Downtime Cost (USD)'),\n",
    "])\n",
    "\n",
    "# Format numeric columns\n",
    "cols = [c for c in summary.columns if c != 'Metric']\n",
    "for col in cols:\n",
    "    summary[col] = summary[col].apply(lambda x: f'{x:,.2f}')\n",
    "\n",
    "print('── Full Summary Statistics ─────────────────────────────────────────────')\n",
    "print(summary.to_string(index=False))\n",
    "\n",
    "summary.to_csv('monte_carlo_summary_v2.csv', index=False)\n",
    "print('\\n✅ Saved: monte_carlo_summary_v2.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "── Scenario Breakdown (NIST SP 800-34 BIA Tier Mapping) ─────────────────\n",
      "             Scenario NIST Tier    n Median MTTR (h) P90 MTTR (h) RTO Breach % RPO Breach % Median ALE No Tx Median ALE Tx\n",
      "     Normal Ops (60%)  Critical 5979             8.3         14.4        53.2%        25.2%      USD 486,070   USD 224,428\n",
      "Carrier Degrad. (30%) Essential 2998            21.7         39.2        97.7%        82.8%      USD 299,913   USD 149,965\n",
      "   Catastrophic (10%) Important 1023            51.8         72.0       100.0%        99.8%      USD 150,237    USD 90,095\n",
      "\n",
      "✅ Saved: scenario_breakdown_v2.csv\n"
     ]
    }
   ],
   "source": [
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "# CELL 7 — SCENARIO BREAKDOWN TABLE\n",
    "# NIST SP 800-34 §3.2 — BIA Priority Tier Analysis\n",
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "\n",
    "mask = {0: sc == 0, 1: sc == 1, 2: sc == 2}\n",
    "labels = ['Normal Ops (60%)', 'Carrier Degrad. (30%)', 'Catastrophic (10%)']\n",
    "tiers  = ['Critical', 'Essential', 'Important']\n",
    "\n",
    "rows = []\n",
    "for i, (lbl, tier) in enumerate(zip(labels, tiers)):\n",
    "    m = mask[i]\n",
    "    rows.append({\n",
    "        'Scenario': lbl,\n",
    "        'NIST Tier': tier,\n",
    "        'n': m.sum(),\n",
    "        'Median MTTR (h)': f\"{np.median(MTTR[m]):.1f}\",\n",
    "        'P90 MTTR (h)': f\"{np.percentile(MTTR[m], 90):.1f}\",\n",
    "        'RTO Breach %': f\"{rto_breach[m].mean()*100:.1f}%\",\n",
    "        'RPO Breach %': f\"{rpo_breach[m].mean()*100:.1f}%\",\n",
    "        'Median ALE No Tx': f\"USD {np.median(ALE_no_tx[m]):,.0f}\",\n",
    "        'Median ALE Tx':    f\"USD {np.median(ALE_with_tx[m]):,.0f}\",\n",
    "    })\n",
    "\n",
    "sc_df = pd.DataFrame(rows)\n",
    "print('── Scenario Breakdown (NIST SP 800-34 BIA Tier Mapping) ─────────────────')\n",
    "print(sc_df.to_string(index=False))\n",
    "\n",
    "sc_df.to_csv('scenario_breakdown_v2.csv', index=False)\n",
    "print('\\n✅ Saved: scenario_breakdown_v2.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## STEP 7: Monte Carlo Visualisations\n",
    "\n",
    "Four charts following NIST SP 800-34 §3.2 reporting structure:\n",
    "1. **ALE Percentile Curve** — treatment vs. no treatment\n",
    "2. **MTTR Distribution** — empirical lognormal vs. RTO/RPO thresholds\n",
    "3. **RTO/RPO Breach by Scenario** — NIST BIA tier comparison\n",
    "4. **Pareto Risk Impact** — top risks driving 80% of ALE\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1800x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Saved: chart1_ale_percentile_v2.png\n"
     ]
    }
   ],
   "source": [
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "# CELL 8 — CHART 1: ALE PERCENTILE CURVE\n",
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "\n",
    "pcts = np.arange(1, 100)\n",
    "ale_no_pct = [np.percentile(ALE_no_tx, p) / 1e6 for p in pcts]\n",
    "ale_tx_pct = [np.percentile(ALE_with_tx, p) / 1e6 for p in pcts]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 6))\n",
    "ax.plot(pcts, ale_no_pct, color='#e74c3c', lw=2.5, label='No Treatment')\n",
    "ax.plot(pcts, ale_tx_pct, color='#2ecc71', lw=2.5, label='With Treatment')\n",
    "ax.fill_between(pcts, ale_tx_pct, ale_no_pct, alpha=0.10, color='#f1c40f',\n",
    "                label='Net Benefit Zone')\n",
    "\n",
    "# Annotate key percentiles\n",
    "for p, col, arr in [(50, '#e74c3c', ale_no_pct), (50, '#2ecc71', ale_tx_pct),\n",
    "                     (90, '#e67e22', ale_no_pct)]:\n",
    "    val = arr[p - 1]\n",
    "    ax.axvline(p, color='#797876', ls='--', lw=0.8, alpha=0.6)\n",
    "    ax.scatter([p], [val], color=col, s=60, zorder=5)\n",
    "\n",
    "p50_no = np.percentile(ALE_no_tx, 50) / 1e6\n",
    "p50_tx = np.percentile(ALE_with_tx, 50) / 1e6\n",
    "p90_no = np.percentile(ALE_no_tx, 90) / 1e6\n",
    "ax.annotate(f'P50 No Tx\\n${p50_no:.2f}M', xy=(50, p50_no),\n",
    "            xytext=(54, p50_no + 0.10), color='#e74c3c', fontsize=9,\n",
    "            arrowprops=dict(arrowstyle='->', color='#e74c3c', lw=1))\n",
    "ax.annotate(f'P50 Tx\\n${p50_tx:.2f}M', xy=(50, p50_tx),\n",
    "            xytext=(38, p50_tx - 0.15), color='#2ecc71', fontsize=9,\n",
    "            arrowprops=dict(arrowstyle='->', color='#2ecc71', lw=1))\n",
    "ax.annotate(f'P90 No Tx\\n${p90_no:.2f}M', xy=(90, p90_no),\n",
    "            xytext=(76, p90_no + 0.12), color='#e67e22', fontsize=9,\n",
    "            arrowprops=dict(arrowstyle='->', color='#e67e22', lw=1))\n",
    "\n",
    "ax.set_xlabel('Percentile', fontsize=12)\n",
    "ax.set_ylabel('ALE (USD Millions)', fontsize=12)\n",
    "ax.set_title('ALE Percentile Curve: Beta-PERT + Lognormal MTTR + Poisson ARO\\n'\n",
    "             'NIST SP 800-34 §3.2 | ISO 31000 §6.4 | n = {:,}'.format(N), fontsize=12)\n",
    "ax.legend(fontsize=10, framealpha=0.3)\n",
    "ax.grid(True, alpha=0.3)\n",
    "ax.set_xlim(1, 99)\n",
    "plt.tight_layout()\n",
    "plt.savefig('chart1_ale_percentile_v2.png', bbox_inches='tight',\n",
    "            facecolor=fig.get_facecolor())\n",
    "plt.show()\n",
    "print('✅ Saved: chart1_ale_percentile_v2.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x825 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Saved: chart2_mttr_lognormal_v2.png\n"
     ]
    }
   ],
   "source": [
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "# CELL 9 — CHART 2: MTTR LOG-NORMAL DISTRIBUTION\n",
    "# Source: Garraghan et al. (2014), Almog (1994)\n",
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 5.5))\n",
    "\n",
    "# Plot histogram of simulated MTTR\n",
    "ax.hist(MTTR, bins=80, density=True, color='#4f98a3', alpha=0.6,\n",
    "        label='Simulated MTTR (mixed scenarios)')\n",
    "\n",
    "# Overlay lognormal fit\n",
    "params = lognorm.fit(MTTR, floc=0)\n",
    "x_range = np.linspace(0.5, MTPD_HRS, 400)\n",
    "ax.plot(x_range, lognorm.pdf(x_range, *params), color='#cdccca',\n",
    "        lw=2, ls='--', label='Log-Normal fit (MLE)')\n",
    "\n",
    "# Threshold lines\n",
    "for val, color, label in [\n",
    "    (RTO_TARGET_HRS, '#e74c3c', f'RTO = {RTO_TARGET_HRS}h'),\n",
    "    (RPO_TARGET_HRS, '#f1c40f', f'RPO = {RPO_TARGET_HRS}h'),\n",
    "    (MTPD_HRS,       '#a86fdf', f'MTPD = {MTPD_HRS}h'),\n",
    "]:\n",
    "    ax.axvline(val, color=color, lw=1.8, ls=':', label=label)\n",
    "\n",
    "# Shade breach zone\n",
    "ax.axvspan(RTO_TARGET_HRS, MTPD_HRS, alpha=0.05, color='#e74c3c',\n",
    "           label='RTO Breach Zone')\n",
    "\n",
    "# Annotate median\n",
    "med = np.median(MTTR)\n",
    "ax.axvline(med, color='#2ecc71', lw=1.5, ls='-', alpha=0.8)\n",
    "ax.text(med + 1, ax.get_ylim()[1] * 0.80,\n",
    "        f'Median\\n{med:.1f}h', color='#2ecc71', fontsize=9)\n",
    "\n",
    "ax.set_xlabel('MTTR (hours)', fontsize=12)\n",
    "ax.set_ylabel('Density', fontsize=12)\n",
    "ax.set_title('MTTR Distribution — Log-Normal Fit (Garraghan et al. 2014)\\n'\n",
    "             'with RTO / RPO / MTPD Thresholds (NIST SP 800-34 BIA)', fontsize=12)\n",
    "ax.legend(fontsize=9, framealpha=0.3, ncol=2)\n",
    "ax.grid(True, alpha=0.3)\n",
    "ax.set_xlim(0, MTPD_HRS)\n",
    "plt.tight_layout()\n",
    "plt.savefig('chart2_mttr_lognormal_v2.png', bbox_inches='tight',\n",
    "            facecolor=fig.get_facecolor())\n",
    "plt.show()\n",
    "print('✅ Saved: chart2_mttr_lognormal_v2.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Saved: chart3_rto_rpo_nist_tier_v2.png\n"
     ]
    }
   ],
   "source": [
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "# CELL 10 — CHART 3: RTO/RPO BREACH BY NIST TIER\n",
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "\n",
    "scenario_labels = ['Normal Ops\\n(60% | Critical)', 'Carrier Degrad.\\n(30% | Essential)',\n",
    "                   'Catastrophic\\n(10% | Important)']\n",
    "rto_rates = [rto_breach[mask[i]].mean() * 100 for i in range(3)]\n",
    "rpo_rates = [rpo_breach[mask[i]].mean() * 100 for i in range(3)]\n",
    "both_rates = [both_breach[mask[i]].mean() * 100 for i in range(3)]\n",
    "\n",
    "x = np.arange(3)\n",
    "w = 0.28\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 6))\n",
    "b1 = ax.bar(x - w,     rto_rates,  w, label=f'RTO Breach (>{RTO_TARGET_HRS}h)',\n",
    "            color='#e74c3c', alpha=0.9)\n",
    "b2 = ax.bar(x,         rpo_rates,  w, label=f'RPO Breach (>{RPO_TARGET_HRS}h)',\n",
    "            color='#f1c40f', alpha=0.9)\n",
    "b3 = ax.bar(x + w,     both_rates, w, label='Both Breached',\n",
    "            color='#a86fdf', alpha=0.9)\n",
    "\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(scenario_labels, fontsize=10)\n",
    "ax.set_ylabel('Breach Rate (%)', fontsize=12)\n",
    "ax.set_ylim(0, 108)\n",
    "ax.set_title('RTO / RPO Breach Rate by NIST SP 800-34 BIA Scenario Tier\\n'\n",
    "             'Beta-PERT Exposure Factor + Lognormal MTTR + Poisson ARO', fontsize=12)\n",
    "ax.legend(fontsize=10, framealpha=0.3, loc='upper right')\n",
    "ax.grid(True, axis='y', alpha=0.3)\n",
    "\n",
    "for bars in [b1, b2, b3]:\n",
    "    for bar in bars:\n",
    "        h = bar.get_height()\n",
    "        ax.text(bar.get_x() + bar.get_width() / 2, h + 1.2,\n",
    "                f'{h:.0f}%', ha='center', va='bottom', fontsize=9, fontweight='bold')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('chart3_rto_rpo_nist_tier_v2.png', bbox_inches='tight',\n",
    "            facecolor=fig.get_facecolor())\n",
    "plt.show()\n",
    "print('✅ Saved: chart3_rto_rpo_nist_tier_v2.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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6x+f6AQEAm6cWTSvj1MPKspC4ZbPaHy/NQwwAAAAAUB+0b98+pk+fvkZIXBUUV22vzpgxY2LcuHHxxS9+MefXlNOguF27dvHzn/88eyB5eap4AIBP17xpZZxy6McBcesWtX/GKisj0tuQkY9pnAIAAAAA1A/z58+PLl26RNu2bbO201V22mmnbLn6uk8qKSmJv/71rzm/ppx+gnrqqadGhw4dYsaMGfGPf/wjJk+eHAsXLszlKQCALUSzJpVx8vCy+MrhpbFVy3WHvp9FGj9uUn689b6KYgAAAACgfnjkkUeyLPWXv/xlPProo9lcxWmO4gMPPDAqKyuzdZtaToPi3XbbLZtgOfXI/mTZNABA0rRxZXzxkLL46hGl0aZV9c9JRUXEQy8UxONjC+LKc1ZGk0br/9wVr4i46uYiTzYAAAAAUG/cfffd0bJlyzjiiCPipJNOWrV++fLlcd1118WECRM276C4adOmMXPmTCExALCWJo0q48SDy+JrR5ZGu9Y1P0EPv1AQv7+zKKZM/7gieHlJXvzmuyuysLimCuOq9Skk/u5vGscb7xT4DQAAAAAA9cpNN92UBcZ9+/aNZs2aZZ2ZJ02aFCtXrqyT68lpUDx37twoLDQfIADwfxoXVcYJB5XF6UeVRvutan5mHh1bEH+4sygmT1uzZfTTrxbEaT9pHN//Umns3q9ine2mUyWxkBgAAAAAqK+WLFkSL7/8ctQHOU11R48eHf/v//2/rJ/29OnTc3loAGAz06ioMo47oCzOOKosOratrHHcEy8VxO/uLIpJ79U8p3AKf0/9cUH06VkRJxxYFv22qcjmOE7Vxmm/kY8VmpMYAAAAAKCuguJRo0bFLrvsEhdddFH85je/iSlTpsSmMHjw4Nh1112jV69e0bZt26y/d5or+YMPPsgS+fvuuy9L56vTpEmTGDFiRHaMDh06RElJSbz11ltxzz33xBtvvLHO8w4YMCCOOuqo6NOnT3acefPmxXPPPRd33XVXrFixYiM9WgCo34oKK+PYYWVx5jFl0bldzQHxk6/kZy2mJ7y7/m2i33o/P674y2eYsBgAAAAAoI717ds3Jk+enJNjNW7cODp27JiTot287t261PwJ7jqcd9551a4vKCiIfffdN/Lz8+O9996LWbNmZeFrdSorK7PJmWsrhdLbbbdd1r/7o48+isWLF0fr1q2zJylJ/b1//OMfZ9ezuhQo/+IXv4ju3btn+6YnNO3Xvn37qKioiBtuuCEefPDBas952GGHxemnn549zvnz58eiRYuySupGjRplx0lh+dKlS2v92NK1JTNmzKj1sRqaHc+5sK4vAbZYE35/dV1fAvVQUUFlHD20PM46tjS6tK/57cWzr+XHdXcUxfgp5hEGAAAAgC2VjGvNYttx48bFyJEjNzgwbtq0aQwfPjyOPvroeOCBB+L222+POqso3n///bOgNy9NCliDbbfdNrvVJFdBcXoyZs6cmT2x5eXlq9ZvvfXW8d3vfje22WabOP/889cKt9PP6T/SVPl85ZVXxoIFC7L1Bx98cJx77rlxxhlnZBNIT506dY39UuXy1772tez+7373u3jkkUey+6ma+eKLL47evXtn+1911VW1fmwAUN8VFlTGkZ//OCDu3rHmgHjMf/Ljd3cUxWtvCYgBAAAAgIbjwQcfzPLH3XbbLeuI/OSTT8ZLL70U06ZNW+d+LVq0iP79+8fnP//5GDRoUFawmjLRFDrnwgYHxbfddlvUF48++mi169OTm4LoX/3qV9GzZ88sFK6qzE0B9l577ZUFy1dfffWqkDhJwW960ocNGxYnnHDCWoFvWpcqp5944olVIXGSjpHOlcLj1Mo6BdWf9gsGgM1VQX5lHLHfxwFxz841B8QvvvFxBfG4SQJiAAAAAKDhueGGG7LC1y996Uuxxx57xMknn5zdUsfjd999N+uYnKbRLS0tjebNm2ddkVMn46ruyalwN+WQd9xxR5ZNps7IdRoU56KceVNYvWVz6tldZZ999smW48ePj9mzZ6+130MPPZQFxQMHDsz2q5pzOM1FvPvuu2f3H3744bX2S6220zHTnMnpHIJiALY0+XmV8YV9yuOc40pj63XMYPHSxI8riF+aKCAGAAAAABq2GTNmxM9+9rMs/E0tpPfbb79sOtwddthh1ZhPdnNOwXHKHVM4nCqQcxUQ1zooTlKQmub/ffXVV6O+qnpyi4uLs1LsKn369MmWEyZMqHa/t99+O0vxU0icqo9TC+okzYWcyrrTtjSmOhMnTsyC4jQxNQBsSQHx8M+Vx9ePK43tutUcEL86OT+uHVmUVRJH1DxFBQAAAABAQzN37ty4+eabs1sKjVOWmZatWrXKMshUWZzy11Rp/NZbb0VZWdlGu5ZaBcXf/OY3480336x3QXFK2tu0aZOFtaeddlq2Lj3ZJSUlq8Z069YtW1ZXTZykltTz58+Prl27ZmOrguL0czJv3rw15kNeXdUxq86xPq699tpq1//617/O/gPIz08ftvNZFM/6vy8GALnlNalhycurjIP3Kouvj1gZvbrXHBC//naqIG4Uz49PFcR54Z8uAAAAAIB1h8bpVldqFRTXN0cccUScfvrpa6xLSftvf/vbtcLsNPlzklL5mixdunSNsUnqCb76tupUHXP1/QBgcwyIDxhUHueMWBnb96y5pckb73wcED/7+scBMQAAAAAA9d8WFRR/+OGHWdvngoKC6NChQ2y11VZZ2+jUIjsFxsuWLVs1tqioKFuuq1w79f1OUpl3bff7NOedd16167t3754tc91zvCFo2mX9K7qBz8Zr0pauMvbfozzOPb40+m1TcwXxxKl5cd3IRvHUuKoW02lszeMBAAAAAKg/tqigeMyYMdmtytZbbx1nnXVWDBkyJHr06BHnn3/+qnAjhbkpUC4srPkpqAqF03zEnwyBP+t+AFD/VcbQ3cvjnONLY8ftag58J72XF7+7oyieeFkFMQAAAADA5mqLCoo/adq0afHTn/40rr/++thuu+1iv/32i6eeempV6+gmTZqsaiVdnarW0au3ma6uHfUnrU97agCoPypjv10r4hsnlMZOvWruYPHW+3nx+zuK4rGXCqKyUotpAAAAAIAGHRS3bt06a+28oUaPHh0bU3FxcUyYMCEGDx4cvXr1WhUUf/DBB9G+ffvo0qVLtftVta+uGltl5syZ2TJtS2PKy8vX2rdz585r7QcA9U9lDN7544B4l+1rDoinTM+L399ZFI+8KCAGAAAAANhS1DooTkFrTfPr1oegOMnPz18V/laZPHly7LzzztG/f/9q99l+++2zFtIrVqyIqVOnrlqf7qf202n+4TRm0qRJa+1bdczqtgFA3auMvXaqiPNOKI3d+tYcEL87My/+cGdRPPR8QVSoIAYAAAAA2KLUOiguKyuLhQsXRn2VWkTvtNNO2f1333131fo0l/Hxxx8fAwYMyCqAZ8+evcZ+w4cPz5bjxo2LkpKSNSqUX3311dhzzz3jkEMOWSsMTsF5OmbVOQCgPhnUvzzOPb40BvWvOSCeNuvjCuIHnhMQAwAAAABsqWodFE+ZMiV++MMfRl3Zcccdswre1FJ67ty5a2xL8xKfc845WVg8f/78eO6551ZtS6Hx2LFjs8D3wgsvjCuuuCI++uijbNvBBx+ctdNObaVHjhy51jlvv/322GOPPWLo0KHx5ptvxiOPPJKtb9OmTVxwwQVZ5fILL7wQ77333kZ//ACwPnbvVx7fOL40qySuyfuz8+KPdxXF/c8WRHmFOYgBAAAAALZktQ6K61oKgU855ZTstmDBguxWUVGRzT/ctm3bbEwKiVMQvHplcHLttdfGL37xi+jdu3fccMMNMX369GjVqlU2/3A6xo033rhGFfLq4fhf/vKX+OpXvxrnnntunHDCCbF48eLo0aNH1pJ6xowZcd11122y5wAAarJrn48riNNcxDWZMffjgPi+ZwqirFxADAAAAACwsaWpfT/44IO46667PnXsscceG926dcuyzVza7IPi1Po5BbqpvXTPnj2ja9eu2dzCy5Yti//85z/x0ksvxaOPPpq1jP6kFO6ef/75MWLEiBg8eHAW9KYw+eWXX4577rknxo8fX+N577vvvpg2bVocddRR0adPn2zfefPmZe2m77zzzrVCaQDYlAb0/riCeN9daw6IZ83Pi+vvLop7niyIUgExAAAAAMAms//++2edi9cnKN59992zDsuC4k9YtGhR3HvvvdltQ6QA+R//+Ed2+6xSEJ1uAFBf7LjdxxXEQ3avOSCe/WFe3DCqMO4eXRilZSqIAQAAAADqs/z8/I1y3M2+ohgAiOi3TUVWQTxsj/Ian465C/LiT/cUxp1PFMbKUgExAAAAAMDmEBJ37tw566Zcr4LiCRMmxHvvvZe7qwEAPpM+PSvinONL46A9aw6I5y+M+NM9RXHHY4WxQkAMAAAAALDJpdbRAwYMWGNd+/bt48QTT6xxn0aNGkW/fv1iq622WueUuXUSFF9yySW5uxIAYL317lER5xxXGofsXXNA/OGiiBvvLYrbHymMkpUqiAEAAAAA6sqAAQPipJNOisrKyvUOipO8vLwoLS2NO++8M+fXpPU0AGxGtutWEV8/rjSG710eNU1L8dHiiL/cVxT/fLgwilcIiAEAAAAA6trUqVNj9OjRq34eNmxYLFq0KF599dVqx6dAeeXKlTFr1qx44YUXYu7cuTm/JkExAGwGtunycUD8hcE1B8QLl0T89f6iuPWhwlheIiAGAAAAAKgvxo4dm91WD4pTCHzNNdfU2TUJigGgHuvZqSLOPq40Dt+3PApqCIgXLY246d9F8Y8HC2NZsYAYAAAAAKC+O/PMM7OK4bokKAaAeqh7x4o4e0RpHLFfeRQWVD9myfL/BsQPFMaS5QJiAAAAAIDNxbx58+r6EgTFAFCfdO1QEWcdUxpHDSmPohq+zrV0ecTfHyiMmx8oisXLBMQAAAAAAJubQYMGxemnnx4PPvhg3HPPPTWOO+aYY2L48OFx/fXXx7hx43J6DSqKAaAe6NKuIs44piyOHVZWY0C8vOTjgDhVES9aKiAGAAAAANhcDR06NDp06BAvvvjiOseleY2/9KUvZeMFxQCwBenUtiLOOLosRuxfFo2Kag6Ib32oMP56f1EsXCIgBgAAAADY3PXq1SuWLFkSs2bNWue4mTNnxuLFi6N37945v4acVhQXFhZGnz59om/fvtG6deto2rRpFBcXx8KFC+Ott96KyZMnR3l5eS5PCQCbpQ5tKuL0o8ri+APKonGj6scUr4i47ZHC+Mu9RbFgsYAYAAAAAGBL0bZt25g2bdp6jZ07d2706NGj/gbFqT/20UcfHS1btqxxzKJFi2LUqFFx77335uq0ALBZad+6Mr52VGmccFBZNKkhIC5ZGTHy0cK48V9FMX+RgBgAAAAAYEtTWloazZs3X6+xaVxFRUX9C4oLCgriBz/4Qey+++6Rl/fxh9lLly6N+fPnZ9XEqaq4ffv20aJFi9hqq63iy1/+cuy4445x1VVXbZQHBAD1UdtWlfGVI0rji4eURdPG1Y9ZWRox8rHC+PO/CmPeR/mb+hIBAAAAANhEZsyYEdtvv3107tw5Zs+eXeO4Ll26ZLd33nmn/gXFJ598cgwcODAqKyvjoYceigceeCCmT5++1riePXvGYYcdFgcddFAMGjQoTjrppLj11ltre3oAqNe2alkZXzm8NE4eXhbNmlQ/prQs4s7HC+NP9xTGnAUCYgAAAACALd2LL76YTen7zW9+My677LJYsWLFWmMaNWoU5513XpbDvvDCC/UrKG7VqlUcddRR2cX98pe/XOcFvv/++/GHP/whXnvttbjwwguzNtX33XdfNkkzAGxpWjevjNMOL41TDi2L5k1rDohHPVkYN9xdGLM+FBADAAAAADQUDzzwQBxyyCHRr1+/uPbaa+PBBx+MyZMnx7Jly7JW03379o1DDz00OnTokM1RfP/999evoHjIkCFZ6+lUSby+Kfbzzz8fjzzySBx88MHZ/hvjQQFAXWnVvDK+9IXSOPULZdGiWfVjysoj7nmqIK6/uyg+mCcgBgAAAABoaEpKSuLyyy+PH/3oR9GpU6c49dRT1xqTpv2dNWtWXHnlldn4ehUUp4Q7VROnxPuz+Pe//50l5DvssIOgGIAtQoumlXHqYWVZSNyqefVjyisi7n3644B4+hwBMQAAAABAQzZz5sys9fTw4cNj7733jh49ekTTpk2juLg4pk2blhXqpgLclStXbpTz1yoo3nbbbbPy5+rmJF6XNH7p0qWxzTbb1Ob0AFDnmjetzNpLn3ZYabRuUXNAfP+zBfHHu4ri/dkCYgAAAAAAPpZC4HvvvTe7bWq1CopbtmwZH3744Qbtm/Zr165dbU4PAHWmWePKOHl4WXzliNLYqmX1YyoqIh4YUxB/uLMo3pslIAYAAAAAoP6oVVCcSp+XL1++Qfumkum0PwBsTpo2royTDi6Lrx5ZGm1b1RwQP/RCQfzxzqJ4Z6aAGAAAAACALSwoLigo2OB909zG+fk+PAdg89CkUWWceNDHAXH7rWoe9/ALBfH7O4tiynT/xgEAAAAAsG6NGjWKPfbYI7bbbrusm3NhYWGN2ep1110X9SYoBoAtXeOiyjj+wLI4/ajS6NCm5nGPjf04IJ48TUAMAAAAAMCn23PPPeO8886L5s2br1qXl5e3KhhefV29DIp79+4d119//Wfer02bdXzaDgB1rKiwMo4/oCxOP7osOrX9v3+QP2n0ywXxuzuL4s2pAmIAAAAAANbPtttuG9/73veirKws7rzzzth3332jc+fOWRicKov79u0bgwYNivLy8hg5cmQsWLAgcq3WQXFRUVF07Nhxg/ZdPQkHgPqgqKAyjhlWFmceUxZd2tf879RT4/KzCuI33tnwaRgAAAAAAGiYjjnmmGya3t/+9rfxwgsvxE477ZQFxY8//viqMd26dYtLLrkkhg8fHt/97nfrV1B8zTXX5O5KAKAOFRZUxtFDyuOsY0uja4eaA+JnX8vPKoj/87aAGAAAAACADdO/f/9YtmxZFhLXZObMmXHVVVfFb37zmzjppJPiT3/6U9SboHj06NG5uxIAqKOA+Ij9yuPsEaXRvWPNAfGY/+TH7+4oitfeEhADAAAAAFA7rVu3jvfff3/Vz6nFdNKoUaNYuXLlqvXvvfdeFhgPHDiwfgXFALC5KsivjMP3/Tgg7tm55oD4xTfy47o7imLcJAExAAAAAAC5sXz58qz1dJWlS5dmyw4dOmTB8OpKS0s3eCrgehEUN23aNJvPePHixZvqlACwlvy8yvjCPuXx9RGlsU3XmgPil9/8uIJ47AQBMQAAAAAAufXhhx9Gu3btVv2cqov32muv2HXXXdcIirfaaqtsruLi4uL6FRSnlDtdXEVFRSxcuLDaMYMHD46TTz45unbtmv2cem0/9thjceutt2bpNwBsqoB4+OfK4+zjSqNXt5oD4lcnf1xB/ML49E2uPL8cAAAAAABy7s0334xDDz002rZtGwsWLIjnnnsujj/++PjSl76UtaGeMGFCtu2UU06JwsLCeP311+tXULz33nvHBRdcEOPGjYsrrrhire37779/fOMb38ju5+V9/GF7ixYt4qijjooePXpUuw8A5FJeXmUctFd5nHtcafTuUXNA/PrbH1cQP/e6gBgAAAAAgI1r7NixMXz48Nhjjz3ikUceySqK77333ixHPfPMM1eNSxnrokWL4u9//3v9Cop33HHHbPnoo49W22r6K1/5Snbxqdp45MiRMXv27Nhhhx3imGOOid133z323HPP7EkAgI0REB8wqDzOOa40+m5dc0D8xjv5cd3IonjmNQExAAAAAACbRqoQHjFixBrr/va3v8W7774bQ4cOjU6dOsWKFSuyyuJRo0ZlVcf1Kiju06dP1nb61VdfXWvb5z73uax6OJVG//jHP85S8CSNTZMxpxB5yJAhgmIAcqwyhu1RHt84vjT6bVNzQDxxal78bmRRPDkuzUGsxTQAAAAAAHXv6aefzm6bQq2C4tQXO1UJr1y5cq1tO++886o0vCokrvLQQw9l/bR79epVm9MDwGoqY8juFXHu8Stjx+1qDognT8vLKoifeFlADAAAAABAw1WroLhVq1Yxf/78ardtv/32UVlZWW21cQqW582bF+3atavN6QEgC4j33bUiqyAe0Luixmfk7ekfVxA/9lJBVFaqIAYAAAAAoH5o1KhRNn1vt27dsul9i4uLY+bMmfHmm29WW7BbL4Li1Fa6devWa61PD6BLly7Z/SlTplS777Jly7Le2gCwYSpj8M6pgrg0du1Tc0D8zoy8+N0dRfHIiwJiAAAAAADqj8LCwjjhhBPisMMOy/LVTyopKYl///vfcfvtt0dZWVnuz1+bnefMmZMl223atImPPvpo1fqddtop8vLysguuKShO1cjLly+vzekBaJAqY6+dPq4g3r1fzQHx1A/y4g93FsWDYwqiQgUxAAAAAAD1LCS+9NJLV+WqS5cuzab8XbhwYWy11VbRuXPnaNGiRYwYMSKrNv7xj3+cFfHm9Bpqs/P48eOjZ8+ecdppp8Vvf/vbbF1+fn4ceeSRWdvptL26dLt58+bRsWPHGkNkAKjOHjuUxzdOKI1B/WsOiKfNyos/3FUUDzxXEOUVWkwDAAAAAFD/HH300TFgwIBYsmRJ/PWvf42nn356jSA4Za5DhgyJL3/5y9G/f/845phj4s4776w/QfF9990XBx98cHz+85+PPn36xNSpU2PbbbfNEu6q7dUZNGhQloxPnDixNqcHoIHYvW951mJ67wE1B8Tvz86L6+8uivueERADAAAAAFC/DR06NCu8veKKK+Ktt95aa3tFRUWMHj06Pvjgg/jFL34Rw4YNq19BcWo9nSqJv/Wtb2VzElfNS5zcf//98eqrr1a73/Dhw7MHXtN2AEh22f7jgHifXWoOiGfOzYs/3l0U9z5dEGXlKogBAAAAAKj/OnbsGLNmzao2JF7d5MmTY+bMmdn4XKtVUJyMGTMmewD77bdfVkmc5h1+5ZVX4o033qhxbuK3334722fChAm1PT0AW6ABvT4OiPfbreaAeNb8jyuI73myIEoFxAAAAAAAbEaWLVsWJSUl6zV2xYoV2RzG9S4oTubPnx+jRo1ar7GLFy+OG2+8MRenBWAL03/bijj3+JUxdGDNAfHsD/PihlGFcffowigtU0EMAAAAAMDm5z//+U8MHjw4WrduHYsWLapxXNres2fPeO655+pnUAwAtdFvm4o497jS2H9QeY1j5i7Iiz/9qzDufLwwVpYKiAEAAAAA2Hzdcsstsfvuu8eFF14YV199dbVhcQqJ0/ZUeZzG55qgGIA606dnRZxzfGkctGfNAfH8hRF//ldRjHy0MFYIiAEAAAAAGqyBAwfGQQcdFH379o2WLVtm7Zhnz54d48ePj3/+859RUbFmt8qCgoI48sgjY8iQIdGlS5coKyuLqVOnxv333x8vvPBC1KUdd9wxHnzwwTj22GPjT3/6U3Y906dPj4ULF8ZWW20VPXr0iL333jvy8vKyzs477bRTtccZPXp03QTF119//XqNS7+U1Gc7TbQ8bty4eOaZZ9b6RQHQcPTqXhHnHFcawz9Xc0D84aKIG+8titsfKYySlSqIAQAAAAAaqvz8/PjmN78Zw4YNy36eN29eFvimsLh3796xww47xF133bXGnL9FRUVx2WWXZYFseXl5vP/++9GkSZMYMGBAdrvrrrvi5ptvrrPHlB5PZWVlFgSnQHvfffdda0zalhx33HE1HqfOguKOHTt+pvG9evWK/fbbL44//vj4+c9/ngXHADQc23WriK+P+Dggzs+vfsxHiyP+cl9R/PPhwiheISAGAAAAAGjovv71r2ch8VtvvRW///3vs5C4SqNGjWLXXXeN0tLSNfY57bTTspA4VRxffvnlq3LJPffcM2vnPGLEiHjzzTfjpZdeirowYcKEqGu1Coqvueaa9RqXUvAWLVrEtttuG4MGDYpu3brFj370o/jOd74TxcXFtbkEADYDW3f5OCA+bJ+aA+JFSz8OiG99qDCWlwiIAQAAAACIrPr34IMPjjlz5sSll166Vra4cuXKGDt27Fpz+w4fPjy7f911161RvJrGplbOJ554Ypx00kl1FhRfcsklsVkHxRtSypxKwC+++OLo06dP9gtKvwgAtkw9O1XE2SNK4/D9yqNgHQHxzf8uir8/WBjLigXEAAAAAAD8n6OOOipb3nPPPetdgJqqhlPr6RQQp/mLP+mhhx7KguLUtrpz585Z1XFDVKugeEMsWbIkfvvb38Yf/vCH7JckKAbY8nTvWBFnHVsaR36+PAoLqh+zZHkKiAvj7w8UxZLlAmIAAAAAANaUwt7UVjp5/fXXo0ePHll1cVqmVtOpBfWjjz6azVm8ur59+2bLiRMnVvuULliwIAuHU0icxgqKN6H0ZM+aNSu6d+++KU8LwEbWpX1FnH1saRw1pDyKavgq0tLlEf94sDBu+ndRLF4mIAYAAAAA2FJ16NAhvv/971e77bzzzvvU/dO0tiksTvr37x9nnXXWqp+TVJR6zDHHZNPlPvPMM6vWd+3aNVuuKwCe/d+gOE2ZWx80b948mjZtus4x8+fP37wrilevLO7YsWNdnR6AHOrcriLOPKYsjh1WVmNAvLzk44D4b/cXxaKlAmIAAAAAANatTZs2q+6nkPjdd9+NG264Id57771o3759nHrqqbHvvvvGt771rZgxY0ZWYVw1FW6ydOnSGo+99L/bUkBbV7p06ZLNkzxw4MBo1qzZp44/9thjt4ygOP2C1rePOAD1U8c2FXHG0WVx3AFl0ej/vsS1VkD8z4cL46/3FcVHSwTEAAAAAAANRWoJvT6VwzVp0qTJqvsrVqyIyy67LJYtW7aqIvhXv/pVVj283XbbxQknnBBXXXVVtq2q6ji1p65J6X+3NW7cOOpCqpa+4oorsirivLy6+ey8ToLiVMadEvJJkybVxekBqKX2W1XG6UeVxgkHlkXjRtWPKVn5cUD8l3uLYsFiATEAAAAAAJ/N6kHvE088sSokrlJZWRn33ntvfPvb387mMk6Ba1pXtd/qbao/qei/21IAXRdOO+20rIr4nXfeiVtuuSWrll60aNGWHRSn8u1vfvOb2S9p7Nixm/r0ANRC66KlcVTP5+LAa4ujSQ0B8YqVEbc/Whg3/qso5i8SEAMAAAAAsGFWbx2dWktXZ/r06dkyha6po/HixYtX7deiRYsaj93iv9s+GT5vKv369ctC6h//+Md1dg21CoqHDRu2XuPy8/OzgDiVUA8aNCj7RaXJlh966KHanB6ATaRl0bI4sseYGN51bDQuKKt2zMrSiDseL4w/3VMY8z7K97sBAAAAAKBWVg+Hy8rKPrXquKqF8wcffBD9+/fPOhyvqwNyMnPmzKgL6fHMmTOnzkLiWgfFVZXB66vqlzNr1qz42c9+Zo5igHquReHyOKLHmDi029hoUlD9XA6lZRF3PfFxQDz7QwExAAAAAAC5sWDBgixM7dSpU3ZbV+CbqnOXLFmS3Z88eXIceOCBscMOO1S7T9u2bVftl8bWhdRqulu3blGXCms7AfX6qKioyNLwlMiPGzcunn322RpTfwDqXvPC4ji8+/PxhW4vRtPClTUGxKOeLIwbRhXGrPkCYgAAAAAAci/liiNGjIghQ4bEbbfdluWOq0uBcDJhwoRV21588cU488wzsyB2wIABMX78+DX2GT58eLZM8wPPnj27Tn5to0aNih/96EfZ43rqqac2v6A4PcEAbDmaFZTEYd2fj8O6vxjNCldUO6a8Mi9Gjc6PG+4uipnzBMQAAAAAAGw899xzTxxyyCFZBfBZZ50Vf/7zn1e1mz788MNjzz33zALiu+66a9U+ixYtiocffjjb/o1vfCMuv/zyVS2m0zS5xxxzTHY/Bc915dVXX40bb7wxvv71r0fv3r3j0UcfzULrlSurL97aGPK6d+uy/r2j2eS6d+++zgm6qdmO51zo6YH11LSgJL7Q/cWsirh5DQFxRWVePD1n57hr2ufjif+50XMLAAAAAMAmybh22WWXuPjii6Nx48axdOnSbA7i9u3bZy2kU0h80003ZYHy6ho1ahQ//elPo1+/flFeXh7Tpk2Lpk2brpq3eNSoUfG3v/2tTn+DLVu2jPPOOy/22GOP9Rp/7LHH1p+KYgA2b00KVsSh3V6MI7o/Hy2KSmoMiJ+dOyALiGcVt9vk1wgAAAAAQMP2+uuvx7e+9a04/vjjs9B42223jeXLl2ctpv/1r39lbac/KVXmpnD5yCOPzNo7pzbUqRI5taH+97//Hc8//3zUpQ4dOsSVV16ZBd55eXl1cg0bHBSnxD5NCp0ruT4eAOt4zc1fGcO7jY0jeoyJVkXF1Y6pqIwYM3enuHPakPiguL2nEwAAAACAOjNr1qy45pprPtM+ZWVlcffdd2e3+ubUU0/NwuI5c+Zk1c1pvuTFixdHZWVl/Q+K//SnP2UXnRL32vTK3n777ePkk0+ON998M0aOHLnBxwHg0zXKL41Dur4UR/V4Llo1Wl7juDFzd4w7pg2Jmcs7eFoBAAAAACDHUmV0qnC+5JJLYv78+VEXNjgoXrBgQXzpS1/KemE/++yz8dRTT8WkSZPWa9/mzZvHfvvtl5V59+3bN+sL/thjj23opQDwKYryS+PgLi/HUT2fi60aLatx3AvzdsgC4unLOnlOAQAAAABgI0ndlmfOnFlnIXGtguJvf/vbcdBBB2XVwMOHD49DDjkkli1bFm+//XZMmTIlC5LTZNKp2rhFixbZrWfPnlkFcZq8OvXaTrcxY8ZkE0zPnTs3t48MgCjKK4sDu74SR/d4Nto0XlrjMzJ2fr+4470hMW1ZZ88aAAAAAABsZNOnT4+WLVtGXdrgoDh59NFH48knn4zPf/7zWVjcu3fv2G233WLXXXetdnzVRMwpUB49enQ8/PDDMWPGjNpcAgDVKMwriwO6jItjej4bbRsvqfE5enl+n7hj2tCYurSL5xEAAAAAADaRBx54IL75zW9mLahff/312OyC4iT1zn788cezW8eOHWOnnXaKHXbYIbvfqlWraNSoUSxZsiQWLlwY7777brzxxhvx1ltvZZNHA5BbBXnlsX/nV+OYns9E+yaLaxw37sPeWUD8zpJufgUAAAAAALCJpaLaHj16xPe+97345z//mWWtxcXFm/Qa8rp361K5Sc/IZ5LadCcqrz+7Hc+50H9tNKiAeEin1+PYrZ+Ojk0W1TjutQW94o73hsbbSz5+bdlQE35/da32BwAAAABgyybjWrfrr78+W7Zr1y7y8/Oz+6n4tqSkpNrxlZWVcfbZZ0e9qigGoO7kR0V8vtPrMWLrp6NT04U1jvvPR9tmAfHkxT036fUBAAAAAABrS92ZPyl1a063moLiXBMUA2ymAfG+ncbHcVs/FZ2bflTjuAkLt46R7w2LNxdtvUmvDwAAAAAAqNkll1wSdU1QDLAZyYuK2KfjG1lA3LXZghrHvbmoZ4x8b2hMWLjtJr0+AAAAAADg002YMCHqmqAYYDOQF5XxuQ4TsoC4e/P5NY6bvKh7VkE8PguI8zbpNQIAAAAAAJsPQTFAPQ+I92o/MY7b5qno2XxejePeXtwtqyB+/aNeAmIAAAAAAOBTCYoB6qXKGNRuUpywzZOxdYu5NY56Z0mXrIL41QW9BcQAAAAAAFBPDRs2rNbHGD16dOSSoBigXqmMge3eihO2fjK2bTm7xlFTl3SOkdOGxisf9hEQAwAAAABAPffNb34zKisra3UMQTHAFqkydmv7dlZB3KvlrBpHvbe0U9zx3pB46cN+AmIAAAAAANhMzJtX8/SSdaUw1yXTCxcujFdfffVTx+66667Rpk2bnCffAJuXytilzTtZQLx9q5k1jnp/WYe4472hMXb+DlEZeZv0CgEAAAAAgNo588wzY4sOilPJ9MSJE9crKD7uuOOif//+gmKggaqMAW3ezVpM9209o8ZRM5a1jzumDYkX5u0oIAYAAAAAAOrvHMV5eSrdANZlx62mZhXEO7R+v8YxHyxvlwXEY+amgDjfEwoAAAAAANTvoHh9pbbTK1eurKvTA2xyO7R+LwuId9xqWo1jZhe3yeYgfm7ugKgQEAMAAAAAAPUxKG7fvn107NhxjXXNmjXLWkrXpHHjxrHjjjtG165d4913363N6QE2C31bvZ8FxAPaTK1xzJzireLOaUPimTk7C4gBAAAAAID6HRQfcMABceKJJ66xrmfPnnHFFVes1/6PPvpobU4PUK9t33JGHL/Nk7Fr23dqHDO3pHXcPe3z8dScXaK8smCTXh8AAAAAANBw1SooXrZsWcyfP3+NCuOysrJYuHBhteMrKyuzdtOzZ8+Op59+Op555pnanB6gXurVcmYcv/WTsXu7KTWOmV/SKu5+f78YPXs3ATEAAAAAALB5BcX3339/dqsyatSomDJlSvzwhz/MxbUBbFa2bfFBnLDNUzGw3Vs1jlmwomUWED8xa7coq6yzaeIBAAAAAIAGLqcpxTXXXFNjNTHAlmrr5rOzOYgHtZ9c45iPVrSIUe/vG4/PGhilAmIAAAAAAGBLCopHjx6dy8MB1Gs9ms+JE7Z+Kvbq8GaNYxaubB7/en+feGTWHlFaUbRJrw8AAAAAAGCTBMXbbrttHH744fH6669ncxDXZMiQIbHzzjvHvffeG9OmTcvlJQBsdN2bzY3jt34qPtdxYo1jFq1sFvdO3yce+WCPWFHRyG8FAAAAAACoVmFhYWy33XbRvn37aNy48SYrzs1pUHzQQQfFsGHD4vHHH1/nuHnz5sX+++8fy5cvjxtvvDGXlwCw0XRtOj+O2/qpGNzxjcjPq37M4tKmcd/0wfHQzD0FxAAAAAAAQI3y8/PjpJNOisMOOyyaNm26av3qQfE555wTu+yyS/z4xz+O2bN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",
      "text/plain": [
       "<Figure size 1950x900 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Saved: chart4_pareto_risk_v2.png\n"
     ]
    }
   ],
   "source": [
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "# CELL 11 — CHART 4: PARETO RISK IMPACT\n",
    "# ISO 31000 §6.4.2 — Risk Evaluation & Prioritisation\n",
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "\n",
    "# Risk register: 6 identified risks with median ALE contribution\n",
    "risks = [\n",
    "    ('Single-Path Connectivity',   np.median(ALE_no_tx[sc == 1]) + np.median(ALE_no_tx[sc == 2])),\n",
    "    ('Vendor Lock-In / SLA Breach',np.median(ALE_no_tx) * 0.45),\n",
    "    ('Regulatory Non-Compliance',  np.median(ALE_no_tx) * 0.22),\n",
    "    ('Data Loss / Corruption',     np.median(ALE_no_tx[rpo_breach]) * 0.18 if rpo_breach.sum() > 0 else 50_000),\n",
    "    ('Manual Failover Delay',      np.median(ALE_no_tx) * 0.12),\n",
    "    ('Third-Party Dependency',     np.median(ALE_no_tx) * 0.08),\n",
    "]\n",
    "risks_sorted = sorted(risks, key=lambda x: x[1], reverse=True)\n",
    "labels_p, values_p = zip(*risks_sorted)\n",
    "values_p = np.array(values_p)\n",
    "cumulative = np.cumsum(values_p) / values_p.sum() * 100\n",
    "\n",
    "fig, ax1 = plt.subplots(figsize=(13, 6))\n",
    "ax2 = ax1.twinx()\n",
    "\n",
    "bars = ax1.bar(labels_p, values_p / 1e3, color='#4f98a3', alpha=0.85,\n",
    "               label='ALE Impact (USD k)')\n",
    "ax2.plot(labels_p, cumulative, color='#f1c40f', marker='o', lw=2,\n",
    "         ms=7, label='Cumulative %')\n",
    "ax2.axhline(80, color='#e74c3c', ls='--', lw=1.2, alpha=0.7, label='80% threshold')\n",
    "\n",
    "ax1.set_ylabel('Median ALE Impact (USD Thousands)', fontsize=11)\n",
    "ax2.set_ylabel('Cumulative Impact (%)', fontsize=11)\n",
    "ax2.set_ylim(0, 110)\n",
    "ax1.set_title('Pareto Risk Impact Analysis\\n'\n",
    "              'ISO 31000 §6.4.2 Risk Evaluation | NIST SP 800-34 Recovery Prioritisation',\n",
    "              fontsize=12)\n",
    "ax1.tick_params(axis='x', labelrotation=18, labelsize=9)\n",
    "\n",
    "lines1, labels1 = ax1.get_legend_handles_labels()\n",
    "lines2, labels2 = ax2.get_legend_handles_labels()\n",
    "ax1.legend(lines1 + lines2, labels1 + labels2, fontsize=9, framealpha=0.3,\n",
    "           loc='upper right')\n",
    "ax1.grid(True, axis='y', alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('chart4_pareto_risk_v2.png', bbox_inches='tight',\n",
    "            facecolor=fig.get_facecolor())\n",
    "plt.show()\n",
    "print('✅ Saved: chart4_pareto_risk_v2.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1650x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Saved: chart5_sle_ale_scatter_v2.png\n"
     ]
    }
   ],
   "source": [
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "# CELL 12 — CHART 5: SLE vs ALE SCATTER (Treatment Decision Space)\n",
    "# ISO 31000 §6.5 — Risk Treatment Selection\n",
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "\n",
    "# Downsample for scatter visibility\n",
    "idx = np.random.choice(N, 2000, replace=False)\n",
    "sc_sample = sc[idx]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(11, 6))\n",
    "\n",
    "colors = {0: '#4f98a3', 1: '#f1c40f', 2: '#e74c3c'}\n",
    "labels_sc = {0: 'Normal Ops (60%)', 1: 'Carrier Degradation (30%)',\n",
    "             2: 'Catastrophic (10%)'}\n",
    "for s in [0, 1, 2]:\n",
    "    m = sc_sample == s\n",
    "    ax.scatter(SLE[idx][m] / 1e3, ALE_no_tx[idx][m] / 1e3,\n",
    "               alpha=0.25, s=18, color=colors[s], label=labels_sc[s])\n",
    "\n",
    "# Treatment boundary line (where ALE_no_tx == ALE_with_tx — break-even)\n",
    "breakeven = ALE_no_tx * RESIDUAL_RISK_FACTOR + TREATMENT_ANNUAL_COST\n",
    "ax.axhline(np.median(breakeven[idx]) / 1e3, color='#2ecc71',\n",
    "           ls='--', lw=1.5, label='Median Treatment Break-Even ALE')\n",
    "\n",
    "ax.set_xlabel('SLE (USD Thousands)', fontsize=12)\n",
    "ax.set_ylabel('ALE No Treatment (USD Thousands)', fontsize=12)\n",
    "ax.set_title('SLE vs ALE — Risk Treatment Decision Space\\n'\n",
    "             'ISO 31000 §6.5 | Points above break-even line → treatment justified',\n",
    "             fontsize=12)\n",
    "ax.legend(fontsize=9, framealpha=0.3)\n",
    "ax.grid(True, alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.savefig('chart5_sle_ale_scatter_v2.png', bbox_inches='tight',\n",
    "            facecolor=fig.get_facecolor())\n",
    "plt.show()\n",
    "print('✅ Saved: chart5_sle_ale_scatter_v2.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "========================================================================\n",
      "  BOARD-READY RISK FINDING — BCMS Connectivity Risk\n",
      "  NIST SP 800-34 Rev.1 | ISO 31000:2018 | ISO 22301:2019\n",
      "========================================================================\n",
      "\n",
      "Monte Carlo simulation (n=10,000; Beta-PERT exposure, Log-Normal MTTR,\n",
      "Poisson ARO) modelled three weighted scenarios aligned to NIST SP 800-34\n",
      "BIA priority tiers (Normal 60% / Degradation 30% / Catastrophic 10%).\n",
      "\n",
      "KEY FINDING:\n",
      "  • RTO breach rate (>8h):   71.3% of simulations\n",
      "  • RPO breach rate (>4h):   50.1% of simulations\n",
      "  • Median MTTR:           11.7h  (P90: 41h)\n",
      "  • Median ALE (no treat): USD 441,666\n",
      "  • Median ALE (treated):  USD 206,666\n",
      "  • ALE reduction:         53%\n",
      "  • Payback period:        1.5 months\n",
      "  • P99 tail ALE:          USD 2,068,689\n",
      "\n",
      "RECOMMENDATION (ISO 31000 §6.5 Risk Treatment):\n",
      "  The current single-carrier architecture is structurally incompatible\n",
      "  with the stated 8-hour RTO. Treatment through dual-carrier diversity\n",
      "  is recommended, with an estimated 2-month payback and\n",
      "  USD 235,000 median annual benefit.\n",
      "\n",
      "========================================================================\n"
     ]
    }
   ],
   "source": [
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "# CELL 13 — BOARD-READY RISK FINDING (Auto-generated)\n",
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "\n",
    "median_ale_no = np.median(ALE_no_tx)\n",
    "median_ale_tx = np.median(ALE_with_tx)\n",
    "p99_ale_no    = np.percentile(ALE_no_tx, 99)\n",
    "reduction_pct = (1 - median_ale_tx / median_ale_no) * 100\n",
    "payback_mths  = TREATMENT_ANNUAL_COST / (median_ale_no - median_ale_tx) * 12\n",
    "\n",
    "print('=' * 72)\n",
    "print('  BOARD-READY RISK FINDING — BCMS Connectivity Risk')\n",
    "print('  NIST SP 800-34 Rev.1 | ISO 31000:2018 | ISO 22301:2019')\n",
    "print('=' * 72)\n",
    "print(f\"\"\"\n",
    "Monte Carlo simulation (n={N:,}; Beta-PERT exposure, Log-Normal MTTR,\n",
    "Poisson ARO) modelled three weighted scenarios aligned to NIST SP 800-34\n",
    "BIA priority tiers (Normal 60% / Degradation 30% / Catastrophic 10%).\n",
    "\n",
    "KEY FINDING:\n",
    "  • RTO breach rate (>{RTO_TARGET_HRS}h):   {rto_breach.mean()*100:.1f}% of simulations\n",
    "  • RPO breach rate (>{RPO_TARGET_HRS}h):   {rpo_breach.mean()*100:.1f}% of simulations\n",
    "  • Median MTTR:           {np.median(MTTR):.1f}h  (P90: {np.percentile(MTTR,90):.0f}h)\n",
    "  • Median ALE (no treat): USD {median_ale_no:,.0f}\n",
    "  • Median ALE (treated):  USD {median_ale_tx:,.0f}\n",
    "  • ALE reduction:         {reduction_pct:.0f}%\n",
    "  • Payback period:        {payback_mths:.1f} months\n",
    "  • P99 tail ALE:          USD {p99_ale_no:,.0f}\n",
    "\n",
    "RECOMMENDATION (ISO 31000 §6.5 Risk Treatment):\n",
    "  The current single-carrier architecture is structurally incompatible\n",
    "  with the stated {RTO_TARGET_HRS}-hour RTO. Treatment through dual-carrier diversity\n",
    "  is recommended, with an estimated {payback_mths:.0f}-month payback and\n",
    "  USD {median_ale_no - median_ale_tx:,.0f} median annual benefit.\n",
    "\"\"\")\n",
    "print('=' * 72)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2250x750 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Saved: chart6_distribution_diagnostics_v2.png\n"
     ]
    }
   ],
   "source": [
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "# CELL 14 — DISTRIBUTION DIAGNOSTICS (Model Validation)\n",
    "# Verify Beta-PERT, Log-Normal, and Poisson fit\n",
    "# ─────────────────────────────────────────────────────────────────────────────\n",
    "\n",
    "fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n",
    "\n",
    "# 1. Exposure Factor — Beta-PERT\n",
    "axes[0].hist(EF, bins=60, density=True, color='#4f98a3', alpha=0.7)\n",
    "axes[0].set_title('Exposure Factor\\nBeta-PERT mixture (Vose 2000)', fontsize=10)\n",
    "axes[0].set_xlabel('Exposure Factor')\n",
    "axes[0].set_ylabel('Density')\n",
    "axes[0].grid(True, alpha=0.3)\n",
    "axes[0].axvline(EF.mean(), color='#f1c40f', lw=1.5, ls='--',\n",
    "                label=f'Mean={EF.mean():.2f}')\n",
    "axes[0].legend(fontsize=9, framealpha=0.3)\n",
    "\n",
    "# 2. MTTR — Log-Normal\n",
    "axes[1].hist(MTTR, bins=60, density=True, color='#e67e22', alpha=0.7)\n",
    "fit_params = lognorm.fit(MTTR, floc=0)\n",
    "xr = np.linspace(0.1, MTPD_HRS, 300)\n",
    "axes[1].plot(xr, lognorm.pdf(xr, *fit_params), color='#cdccca', lw=2, ls='--',\n",
    "             label='Log-Normal fit')\n",
    "axes[1].axvline(RTO_TARGET_HRS, color='#e74c3c', lw=1.5, ls=':',\n",
    "                label=f'RTO={RTO_TARGET_HRS}h')\n",
    "axes[1].set_title('MTTR Distribution\\nLog-Normal (Garraghan et al. 2014)', fontsize=10)\n",
    "axes[1].set_xlabel('MTTR (hours)')\n",
    "axes[1].set_ylabel('Density')\n",
    "axes[1].set_xlim(0, MTPD_HRS)\n",
    "axes[1].legend(fontsize=9, framealpha=0.3)\n",
    "axes[1].grid(True, alpha=0.3)\n",
    "\n",
    "# 3. ARO — Poisson\n",
    "axes[2].hist(ARO, bins=40, density=True, color='#a86fdf', alpha=0.7)\n",
    "axes[2].axvline(ARO.mean(), color='#f1c40f', lw=1.5, ls='--',\n",
    "                label=f'Mean ARO={ARO.mean():.2f}')\n",
    "axes[2].set_title('Annual Rate of Occurrence\\nPoisson process (Eling & Wirfs 2015)', fontsize=10)\n",
    "axes[2].set_xlabel('ARO (events/year)')\n",
    "axes[2].set_ylabel('Density')\n",
    "axes[2].legend(fontsize=9, framealpha=0.3)\n",
    "axes[2].grid(True, alpha=0.3)\n",
    "\n",
    "plt.suptitle('Distribution Diagnostics — Model Validation',\n",
    "             fontsize=13, y=1.02)\n",
    "plt.tight_layout()\n",
    "plt.savefig('chart6_distribution_diagnostics_v2.png', bbox_inches='tight',\n",
    "            facecolor=fig.get_facecolor())\n",
    "plt.show()\n",
    "print('✅ Saved: chart6_distribution_diagnostics_v2.png')"
   ]
  },
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    "---\n",
    "## Model Summary: Distributions & Assumptions\n",
    "\n",
    "| Parameter | Distribution | Justification Source |\n",
    "|-----------|-------------|----------------------|\n",
    "| Exposure Factor (EF) | Beta-PERT (a, mode, b per scenario) | Vose (2000); Rees (2015) — better than triangular for expert elicitation |\n",
    "| MTTR (Recovery Time) | Log-Normal (mean, std per scenario) | Garraghan et al. (2014) IEEE ISSRE; Almog (1994) NPS |\n",
    "| ARO (Frequency) | Poisson process + Gamma timing noise | Eling & Wirfs (2015) IAALS; He et al. UWaterloo |\n",
    "| Data Loss Window | Beta-PERT (proportion of MTTR) | ISO 22301 RPO definition; BIA field practice |\n",
    "| Treatment Cost | Log-Normal (mean USD 180k, std USD 50k) | Rees (2015) project cost modeling |\n",
    "| Scenario Mixture | Weighted 60/30/10 | NIST SP 800-34 §3.2 BIA priority tiers |\n",
    "\n",
    "### Convergence Note\n",
    "Monte Carlo results stabilise at n ≥ 5,000. Default is 10,000 iterations for robust percentile estimation at P95 and above.\n",
    "\n",
    "### Limitations\n",
    "- Parameters are expert-elicited; real calibration requires incident log data.\n",
    "- Scenario weights (60/30/10) should be reviewed annually against carrier SLA performance. Mitigation for model staleness.\n",
    "- Correlation between EF and MTTR is not explicitly modelled (conservative independence assumption).\n",
    "\n",
    "---\n",
    "*Generated using: Python 3.x, NumPy, SciPy, Pandas, Matplotlib*\n",
    "*Framework: NIST SP 800-34 Rev.1 | ISO 22301:2019 | ISO 31000:2018*\n"
   ]
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