threat-mitigation-mapping

name	threat-mitigation-mapping
description	Map identified threats to appropriate security controls and mitigations. Use when prioritizing security investments, creating remediation plans, or validating control effectiveness.

Threat Mitigation Mapping

Connect threats to controls for effective security planning.

When to Use This Skill

• Prioritizing security investments
• Creating remediation roadmaps
• Validating control coverage
• Designing defense-in-depth
• Security architecture review
• Risk treatment planning

Core Concepts

1. Control Categories

Preventive ────► Stop attacks before they occur
   │              (Firewall, Input validation)
   │
Detective ─────► Identify attacks in progress
   │              (IDS, Log monitoring)
   │
Corrective ────► Respond and recover from attacks
                  (Incident response, Backup restore)

2. Control Layers

Layer	Examples
Network	Firewall, WAF, DDoS protection
Application	Input validation, authentication
Data	Encryption, access controls
Endpoint	EDR, patch management
Process	Security training, incident response

3. Defense in Depth

                    ┌──────────────────────┐
                    │      Perimeter       │ ← Firewall, WAF
                    │   ┌──────────────┐   │
                    │   │   Network    │   │ ← Segmentation, IDS
                    │   │  ┌────────┐  │   │
                    │   │  │  Host  │  │   │ ← EDR, Hardening
                    │   │  │ ┌────┐ │  │   │
                    │   │  │ │App │ │  │   │ ← Auth, Validation
                    │   │  │ │Data│ │  │   │ ← Encryption
                    │   │  │ └────┘ │  │   │
                    │   │  └────────┘  │   │
                    │   └──────────────┘   │
                    └──────────────────────┘

Templates

Template 1: Mitigation Model

from dataclasses import dataclass, field
from enum import Enum
from typing import List, Dict, Optional, Set
from datetime import datetime

class ControlType(Enum):
    PREVENTIVE = "preventive"
    DETECTIVE = "detective"
    CORRECTIVE = "corrective"


class ControlLayer(Enum):
    NETWORK = "network"
    APPLICATION = "application"
    DATA = "data"
    ENDPOINT = "endpoint"
    PROCESS = "process"
    PHYSICAL = "physical"


class ImplementationStatus(Enum):
    NOT_IMPLEMENTED = "not_implemented"
    PARTIAL = "partial"
    IMPLEMENTED = "implemented"
    VERIFIED = "verified"


class Effectiveness(Enum):
    NONE = 0
    LOW = 1
    MEDIUM = 2
    HIGH = 3
    VERY_HIGH = 4


@dataclass
class SecurityControl:
    id: str
    name: str
    description: str
    control_type: ControlType
    layer: ControlLayer
    effectiveness: Effectiveness
    implementation_cost: str  # Low, Medium, High
    maintenance_cost: str
    status: ImplementationStatus = ImplementationStatus.NOT_IMPLEMENTED
    mitigates_threats: List[str] = field(default_factory=list)
    dependencies: List[str] = field(default_factory=list)
    technologies: List[str] = field(default_factory=list)
    compliance_refs: List[str] = field(default_factory=list)

    def coverage_score(self) -> float:
        """Calculate coverage score based on status and effectiveness."""
        status_multiplier = {
            ImplementationStatus.NOT_IMPLEMENTED: 0.0,
            ImplementationStatus.PARTIAL: 0.5,
            ImplementationStatus.IMPLEMENTED: 0.8,
            ImplementationStatus.VERIFIED: 1.0,
        }
        return self.effectiveness.value * status_multiplier[self.status]


@dataclass
class Threat:
    id: str
    name: str
    category: str  # STRIDE category
    description: str
    impact: str  # Critical, High, Medium, Low
    likelihood: str
    risk_score: float


@dataclass
class MitigationMapping:
    threat: Threat
    controls: List[SecurityControl]
    residual_risk: str = "Unknown"
    notes: str = ""

    def calculate_coverage(self) -> float:
        """Calculate how well controls cover the threat."""
        if not self.controls:
            return 0.0

        total_score = sum(c.coverage_score() for c in self.controls)
        max_possible = len(self.controls) * Effectiveness.VERY_HIGH.value

        return (total_score / max_possible) * 100 if max_possible > 0 else 0

    def has_defense_in_depth(self) -> bool:
        """Check if multiple layers are covered."""
        layers = set(c.layer for c in self.controls if c.status != ImplementationStatus.NOT_IMPLEMENTED)
        return len(layers) >= 2

    def has_control_diversity(self) -> bool:
        """Check if multiple control types are present."""
        types = set(c.control_type for c in self.controls if c.status != ImplementationStatus.NOT_IMPLEMENTED)
        return len(types) >= 2


@dataclass
class MitigationPlan:
    name: str
    threats: List[Threat] = field(default_factory=list)
    controls: List[SecurityControl] = field(default_factory=list)
    mappings: List[MitigationMapping] = field(default_factory=list)

    def get_unmapped_threats(self) -> List[Threat]:
        """Find threats without mitigations."""
        mapped_ids = {m.threat.id for m in self.mappings}
        return [t for t in self.threats if t.id not in mapped_ids]

    def get_control_coverage(self) -> Dict[str, float]:
        """Get coverage percentage for each threat."""
        return {
            m.threat.id: m.calculate_coverage()
            for m in self.mappings
        }

    def get_gaps(self) -> List[Dict]:
        """Identify mitigation gaps."""
        gaps = []
        for mapping in self.mappings:
            coverage = mapping.calculate_coverage()
            if coverage < 50:
                gaps.append({
                    "threat": mapping.threat.id,
                    "threat_name": mapping.threat.name,
                    "coverage": coverage,
                    "issue": "Insufficient control coverage",
                    "recommendation": "Add more controls or improve existing ones"
                })
            if not mapping.has_defense_in_depth():
                gaps.append({
                    "threat": mapping.threat.id,
                    "threat_name": mapping.threat.name,
                    "coverage": coverage,
                    "issue": "No defense in depth",
                    "recommendation": "Add controls at different layers"
                })
            if not mapping.has_control_diversity():
                gaps.append({
                    "threat": mapping.threat.id,
                    "threat_name": mapping.threat.name,
                    "coverage": coverage,
                    "issue": "No control diversity",
                    "recommendation": "Add detective/corrective controls"
                })
        return gaps

Template 2: Control Library

class ControlLibrary:
    """Library of standard security controls."""

    STANDARD_CONTROLS = {
        # Authentication Controls
        "AUTH-001": SecurityControl(
            id="AUTH-001",
            name="Multi-Factor Authentication",
            description="Require MFA for all user authentication",
            control_type=ControlType.PREVENTIVE,
            layer=ControlLayer.APPLICATION,
            effectiveness=Effectiveness.HIGH,
            implementation_cost="Medium",
            maintenance_cost="Low",
            mitigates_threats=["SPOOFING"],
            technologies=["TOTP", "WebAuthn", "SMS OTP"],
            compliance_refs=["PCI-DSS 8.3", "NIST 800-63B"]
        ),
        "AUTH-002": SecurityControl(
            id="AUTH-002",
            name="Account Lockout Policy",
            description="Lock accounts after failed authentication attempts",
            control_type=ControlType.PREVENTIVE,
            layer=ControlLayer.APPLICATION,
            effectiveness=Effectiveness.MEDIUM,
            implementation_cost="Low",
            maintenance_cost="Low",
            mitigates_threats=["SPOOFING"],
            technologies=["Custom implementation"],
            compliance_refs=["PCI-DSS 8.1.6"]
        ),

        # Input Validation Controls
        "VAL-001": SecurityControl(
            id="VAL-001",
            name="Input Validation Framework",
            description="Validate and sanitize all user input",
            control_type=ControlType.PREVENTIVE,
            layer=ControlLayer.APPLICATION,
            effectiveness=Effectiveness.HIGH,
            implementation_cost="Medium",
            maintenance_cost="Medium",
            mitigates_threats=["TAMPERING", "INJECTION"],
            technologies=["Joi", "Yup", "Pydantic"],
            compliance_refs=["OWASP ASVS V5"]
        ),
        "VAL-002": SecurityControl(
            id="VAL-002",
            name="Web Application Firewall",
            description="Deploy WAF to filter malicious requests",
            control_type=ControlType.PREVENTIVE,
            layer=ControlLayer.NETWORK,
            effectiveness=Effectiveness.MEDIUM,
            implementation_cost="Medium",
            maintenance_cost="Medium",
            mitigates_threats=["TAMPERING", "INJECTION", "DOS"],
            technologies=["AWS WAF", "Cloudflare", "ModSecurity"],
            compliance_refs=["PCI-DSS 6.6"]
        ),

        # Encryption Controls
        "ENC-001": SecurityControl(
            id="ENC-001",
            name="Data Encryption at Rest",
            description="Encrypt sensitive data in storage",
            control_type=ControlType.PREVENTIVE,
            layer=ControlLayer.DATA,
            effectiveness=Effectiveness.HIGH,
            implementation_cost="Medium",
            maintenance_cost="Low",
            mitigates_threats=["INFORMATION_DISCLOSURE"],
            technologies=["AES-256", "KMS", "HSM"],
            compliance_refs=["PCI-DSS 3.4", "GDPR Art. 32"]
        ),
        "ENC-002": SecurityControl(
            id="ENC-002",
            name="TLS Encryption",
            description="Encrypt data in transit using TLS 1.3",
            control_type=ControlType.PREVENTIVE,
            layer=ControlLayer.NETWORK,
            effectiveness=Effectiveness.HIGH,
            implementation_cost="Low",
            maintenance_cost="Low",
            mitigates_threats=["INFORMATION_DISCLOSURE", "TAMPERING"],
            technologies=["TLS 1.3", "Certificate management"],
            compliance_refs=["PCI-DSS 4.1", "HIPAA"]
        ),

        # Logging Controls
        "LOG-001": SecurityControl(
            id="LOG-001",
            name="Security Event Logging",
            description="Log all security-relevant events",
            control_type=ControlType.DETECTIVE,
            layer=ControlLayer.APPLICATION,
            effectiveness=Effectiveness.MEDIUM,
            implementation_cost="Low",
            maintenance_cost="Medium",
            mitigates_threats=["REPUDIATION"],
            technologies=["ELK Stack", "Splunk", "CloudWatch"],
            compliance_refs=["PCI-DSS 10.2", "SOC2"]
        ),
        "LOG-002": SecurityControl(
            id="LOG-002",
            name="Log Integrity Protection",
            description="Protect logs from tampering",
            control_type=ControlType.PREVENTIVE,
            layer=ControlLayer.DATA,
            effectiveness=Effectiveness.MEDIUM,
            implementation_cost="Medium",
            maintenance_cost="Low",
            mitigates_threats=["REPUDIATION", "TAMPERING"],
            technologies=["Immutable storage", "Log signing"],
            compliance_refs=["PCI-DSS 10.5"]
        ),

        # Access Control
        "ACC-001": SecurityControl(
            id="ACC-001",
            name="Role-Based Access Control",
            description="Implement RBAC for authorization",
            control_type=ControlType.PREVENTIVE,
            layer=ControlLayer.APPLICATION,
            effectiveness=Effectiveness.HIGH,
            implementation_cost="Medium",
            maintenance_cost="Medium",
            mitigates_threats=["ELEVATION_OF_PRIVILEGE", "INFORMATION_DISCLOSURE"],
            technologies=["RBAC", "ABAC", "Policy engines"],
            compliance_refs=["PCI-DSS 7.1", "SOC2"]
        ),

        # Availability Controls
        "AVL-001": SecurityControl(
            id="AVL-001",
            name="Rate Limiting",
            description="Limit request rates to prevent abuse",
            control_type=ControlType.PREVENTIVE,
            layer=ControlLayer.APPLICATION,
            effectiveness=Effectiveness.MEDIUM,
            implementation_cost="Low",
            maintenance_cost="Low",
            mitigates_threats=["DENIAL_OF_SERVICE"],
            technologies=["API Gateway", "Redis", "Token bucket"],
            compliance_refs=["OWASP API Security"]
        ),
        "AVL-002": SecurityControl(
            id="AVL-002",
            name="DDoS Protection",
            description="Deploy DDoS mitigation services",
            control_type=ControlType.PREVENTIVE,
            layer=ControlLayer.NETWORK,
            effectiveness=Effectiveness.HIGH,
            implementation_cost="High",
            maintenance_cost="Medium",
            mitigates_threats=["DENIAL_OF_SERVICE"],
            technologies=["Cloudflare", "AWS Shield", "Akamai"],
            compliance_refs=["NIST CSF"]
        ),
    }

    def get_controls_for_threat(self, threat_category: str) -> List[SecurityControl]:
        """Get all controls that mitigate a threat category."""
        return [
            c for c in self.STANDARD_CONTROLS.values()
            if threat_category in c.mitigates_threats
        ]

    def get_controls_by_layer(self, layer: ControlLayer) -> List[SecurityControl]:
        """Get controls for a specific layer."""
        return [c for c in self.STANDARD_CONTROLS.values() if c.layer == layer]

    def get_control(self, control_id: str) -> Optional[SecurityControl]:
        """Get a specific control by ID."""
        return self.STANDARD_CONTROLS.get(control_id)

    def recommend_controls(
        self,
        threat: Threat,
        existing_controls: List[str]
    ) -> List[SecurityControl]:
        """Recommend additional controls for a threat."""
        available = self.get_controls_for_threat(threat.category)
        return [c for c in available if c.id not in existing_controls]

Template 3: Mitigation Analysis

class MitigationAnalyzer:
    """Analyze and optimize mitigation strategies."""

    def __init__(self, plan: MitigationPlan, library: ControlLibrary):
        self.plan = plan
        self.library = library

    def calculate_overall_risk_reduction(self) -> float:
        """Calculate overall risk reduction percentage."""
        if not self.plan.mappings:
            return 0.0

        weighted_coverage = 0
        total_weight = 0

        for mapping in self.plan.mappings:
            # Weight by threat risk score
            weight = mapping.threat.risk_score
            coverage = mapping.calculate_coverage()
            weighted_coverage += weight * coverage
            total_weight += weight

        return weighted_coverage / total_weight if total_weight > 0 else 0

    def get_critical_gaps(self) -> List[Dict]:
        """Find critical gaps that need immediate attention."""
        gaps = self.plan.get_gaps()
        critical_threats = {t.id for t in self.plan.threats if t.impact == "Critical"}

        return [g for g in gaps if g["threat"] in critical_threats]

    def optimize_budget(
        self,
        budget: float,
        cost_map: Dict[str, float]
    ) -> List[SecurityControl]:
        """Select controls that maximize risk reduction within budget."""
        # Simple greedy approach - can be replaced with optimization algorithm
        recommended = []
        remaining_budget = budget
        unmapped = self.plan.get_unmapped_threats()

        # Sort controls by effectiveness/cost ratio
        all_controls = list(self.library.STANDARD_CONTROLS.values())
        controls_with_value = []

        for control in all_controls:
            if control.status == ImplementationStatus.NOT_IMPLEMENTED:
                cost = cost_map.get(control.id, float('inf'))
                if cost <= remaining_budget:
                    # Calculate value as threats covered * effectiveness / cost
                    threats_covered = len([
                        t for t in unmapped
                        if t.category in control.mitigates_threats
                    ])
                    if threats_covered > 0:
                        value = (threats_covered * control.effectiveness.value) / cost
                        controls_with_value.append((control, value, cost))

        # Sort by value (higher is better)
        controls_with_value.sort(key=lambda x: x[1], reverse=True)

        for control, value, cost in controls_with_value:
            if cost <= remaining_budget:
                recommended.append(control)
                remaining_budget -= cost

        return recommended

    def generate_roadmap(self) -> List[Dict]:
        """Generate implementation roadmap by priority."""
        roadmap = []
        gaps = self.plan.get_gaps()

        # Phase 1: Critical threats with low coverage
        phase1 = []
        for gap in gaps:
            mapping = next(
                (m for m in self.plan.mappings if m.threat.id == gap["threat"]),
                None
            )
            if mapping and mapping.threat.impact == "Critical":
                controls = self.library.get_controls_for_threat(mapping.threat.category)
                phase1.extend([
                    {
                        "threat": gap["threat"],
                        "control": c.id,
                        "control_name": c.name,
                        "phase": 1,
                        "priority": "Critical"
                    }
                    for c in controls
                    if c.status == ImplementationStatus.NOT_IMPLEMENTED
                ])

        roadmap.extend(phase1[:5])  # Top 5 for phase 1

        # Phase 2: High impact threats
        phase2 = []
        for gap in gaps:
            mapping = next(
                (m for m in self.plan.mappings if m.threat.id == gap["threat"]),
                None
            )
            if mapping and mapping.threat.impact == "High":
                controls = self.library.get_controls_for_threat(mapping.threat.category)
                phase2.extend([
                    {
                        "threat": gap["threat"],
                        "control": c.id,
                        "control_name": c.name,
                        "phase": 2,
                        "priority": "High"
                    }
                    for c in controls
                    if c.status == ImplementationStatus.NOT_IMPLEMENTED
                ])

        roadmap.extend(phase2[:5])  # Top 5 for phase 2

        return roadmap

    def defense_in_depth_analysis(self) -> Dict[str, List[str]]:
        """Analyze defense in depth coverage."""
        layer_coverage = {layer.value: [] for layer in ControlLayer}

        for mapping in self.plan.mappings:
            for control in mapping.controls:
                if control.status in [ImplementationStatus.IMPLEMENTED, ImplementationStatus.VERIFIED]:
                    layer_coverage[control.layer.value].append(control.id)

        return layer_coverage

    def generate_report(self) -> str:
        """Generate comprehensive mitigation report."""
        risk_reduction = self.calculate_overall_risk_reduction()
        gaps = self.plan.get_gaps()
        critical_gaps = self.get_critical_gaps()
        layer_coverage = self.defense_in_depth_analysis()

        report = f"""
# Threat Mitigation Report

## Executive Summary
- **Overall Risk Reduction:** {risk_reduction:.1f}%
- **Total Threats:** {len(self.plan.threats)}
- **Total Controls:** {len(self.plan.controls)}
- **Identified Gaps:** {len(gaps)}
- **Critical Gaps:** {len(critical_gaps)}

## Defense in Depth Coverage
{self._format_layer_coverage(layer_coverage)}

## Critical Gaps Requiring Immediate Action
{self._format_gaps(critical_gaps)}

## Recommendations
{self._format_recommendations()}

## Implementation Roadmap
{self._format_roadmap()}
"""
        return report

    def _format_layer_coverage(self, coverage: Dict[str, List[str]]) -> str:
        lines = []
        for layer, controls in coverage.items():
            status = "✓" if controls else "✗"
            lines.append(f"- {layer}: {status} ({len(controls)} controls)")
        return "\n".join(lines)

    def _format_gaps(self, gaps: List[Dict]) -> str:
        if not gaps:
            return "No critical gaps identified."
        lines = []
        for gap in gaps:
            lines.append(f"- **{gap['threat_name']}**: {gap['issue']}")
            lines.append(f"  - Coverage: {gap['coverage']:.1f}%")
            lines.append(f"  - Recommendation: {gap['recommendation']}")
        return "\n".join(lines)

    def _format_recommendations(self) -> str:
        recommendations = []
        layer_coverage = self.defense_in_depth_analysis()

        for layer, controls in layer_coverage.items():
            if not controls:
                recommendations.append(f"- Add {layer} layer controls")

        gaps = self.plan.get_gaps()
        if any(g["issue"] == "No control diversity" for g in gaps):
            recommendations.append("- Add more detective and corrective controls")

        return "\n".join(recommendations) if recommendations else "Current coverage is adequate."

    def _format_roadmap(self) -> str:
        roadmap = self.generate_roadmap()
        if not roadmap:
            return "No additional controls recommended at this time."

        lines = []
        current_phase = 0
        for item in roadmap:
            if item["phase"] != current_phase:
                current_phase = item["phase"]
                lines.append(f"\n### Phase {current_phase}")
            lines.append(f"- [{item['priority']}] {item['control_name']} (for {item['threat']})")

        return "\n".join(lines)

Template 4: Control Effectiveness Testing

from dataclasses import dataclass
from typing import List, Callable, Any
import asyncio

@dataclass
class ControlTest:
    control_id: str
    test_name: str
    test_function: Callable[[], bool]
    expected_result: bool
    description: str


class ControlTester:
    """Test control effectiveness."""

    def __init__(self):
        self.tests: List[ControlTest] = []
        self.results: List[Dict] = []

    def add_test(self, test: ControlTest) -> None:
        self.tests.append(test)

    async def run_tests(self) -> List[Dict]:
        """Run all control tests."""
        self.results = []

        for test in self.tests:
            try:
                result = test.test_function()
                passed = result == test.expected_result
                self.results.append({
                    "control_id": test.control_id,
                    "test_name": test.test_name,
                    "passed": passed,
                    "actual_result": result,
                    "expected_result": test.expected_result,
                    "description": test.description,
                    "error": None
                })
            except Exception as e:
                self.results.append({
                    "control_id": test.control_id,
                    "test_name": test.test_name,
                    "passed": False,
                    "actual_result": None,
                    "expected_result": test.expected_result,
                    "description": test.description,
                    "error": str(e)
                })

        return self.results

    def get_effectiveness_score(self, control_id: str) -> float:
        """Calculate effectiveness score for a control."""
        control_results = [r for r in self.results if r["control_id"] == control_id]
        if not control_results:
            return 0.0

        passed = sum(1 for r in control_results if r["passed"])
        return (passed / len(control_results)) * 100

    def generate_test_report(self) -> str:
        """Generate test results report."""
        if not self.results:
            return "No tests have been run."

        total = len(self.results)
        passed = sum(1 for r in self.results if r["passed"])

        report = f"""
# Control Effectiveness Test Report

## Summary
- **Total Tests:** {total}
- **Passed:** {passed}
- **Failed:** {total - passed}
- **Pass Rate:** {(passed/total)*100:.1f}%

## Results by Control
"""
        # Group by control
        controls = {}
        for result in self.results:
            cid = result["control_id"]
            if cid not in controls:
                controls[cid] = []
            controls[cid].append(result)

        for control_id, results in controls.items():
            score = self.get_effectiveness_score(control_id)
            report += f"\n### {control_id} (Effectiveness: {score:.1f}%)\n"
            for r in results:
                status = "✓" if r["passed"] else "✗"
                report += f"- {status} {r['test_name']}\n"
                if r["error"]:
                    report += f"  - Error: {r['error']}\n"

        return report

Best Practices

Do's

• Map all threats - No threat should be unmapped
• Layer controls - Defense in depth is essential
• Mix control types - Preventive, detective, corrective
• Track effectiveness - Measure and improve
• Review regularly - Controls degrade over time

Don'ts

• Don't rely on single controls - Single points of failure
• Don't ignore cost - ROI matters
• Don't skip testing - Untested controls may fail
• Don't set and forget - Continuous improvement
• Don't ignore people/process - Technology alone isn't enough

Resources

• NIST Cybersecurity Framework
• CIS Controls
• MITRE D3FEND