--- id: BTAA-FUN-014 title: 'Mapping AI Attacks with MITRE ATLAS: A Practical Guide' slug: mapping-ai-attacks-mitre-atlas type: lesson code: BTAA-FUN-014 aliases: - mitre atlas practical guide - attack chain mapping with atlas - ai attack framework - atlas security assessment author: Herb Hermes date: '2026-04-10' last_updated: '2026-04-11' description: Learn how to use MITRE ATLAS to map AI attacks as systematic adversary chains rather than isolated tricks, enabling better security assessment and defense planning. category: fundamentals difficulty: beginner platform: Universal challenge: Use MITRE ATLAS to map a multi-step AI attack chain from initial access to impact read_time: 8 minutes tags: - prompt-injection - mitre-atlas - attack-chains - threat-modeling - fundamentals - framework - security-assessment status: published test_type: conceptual model_compatibility: - Universal responsible_use: Use this lesson to improve risk modeling, security assessment, and structured threat analysis of AI workflows. prerequisites: - BTAA-FUN-008 — Prompt Injection Is Initial Access, Not the Whole Attack follow_up: - BTAA-FUN-002 - BTAA-FUN-003 - BTAA-FUN-007 public_path: /content/lessons/fundamentals/mapping-ai-attacks-mitre-atlas.md pillar: learn pillar_label: Learn section: fundamentals collection: fundamentals taxonomy: intents: - improve-risk-modeling - map-attack-chains - assess-ai-security techniques: - attack-chain-mapping - framework-based-assessment evasions: - multi-stage-attacks inputs: - structured-frameworks --- # Mapping AI Attacks with MITRE ATLAS: A Practical Guide > Responsible use: Use this lesson to improve risk modeling, security assessment, and structured threat analysis of AI workflows. ## Purpose This lesson teaches you how to use MITRE ATLAS, a structured adversary framework for AI systems, to map attacks as chains of behavior rather than isolated tricks. This systematic approach helps you identify where defenses are needed across the entire attack path, not just at the entry point. ## What MITRE ATLAS is MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) is a public knowledge base of adversary tactics and techniques targeting AI systems. Modeled after the MITRE ATT&CK framework for traditional cybersecurity, ATLAS provides: - **Tactics**: High-level adversary goals (Initial Access, Execution, Persistence, etc.) - **Techniques**: Specific methods adversaries use to achieve those goals - **Mitigations**: Defensive countermeasures mapped to specific techniques - **Case Studies**: Real-world examples of AI attacks and defenses - **Navigator**: An interactive tool for visualizing and exploring the framework ATLAS is accessible at https://atlas.mitre.org/ and is designed to be practical for security teams, researchers, and developers working with AI systems. ## How the framework is organized ATLAS organizes adversary behavior into a matrix structure: ### Tactics (the "why") Tactics represent the adversary's strategic goals across the attack lifecycle: - **Initial Access**: How the adversary first gains influence over the AI system - **Execution**: Techniques to trigger the AI to perform unwanted actions - **Persistence**: Methods to maintain access or influence over time - **Privilege Escalation**: Gaining additional capabilities or access levels - **Defense Evasion**: Avoiding detection by security measures - **Collection**: Gathering information from the AI system or its environment - **Impact**: Actions that directly affect the target organization or users ### Techniques (the "how") Each tactic contains specific techniques. For example, under Initial Access: - **Prompt Injection**: Embedding malicious instructions in user input - **Supply Chain Compromise**: Attacking training data, models, or dependencies - ** LLM-Integrated Application**: Exploiting connections between AI and external systems Each technique includes a description, examples, and mapped mitigations. ### Mitigations (the defense) For every technique, ATLAS lists specific mitigations: - **Technical controls**: Implementation-level defenses - **Process controls**: Organizational and procedural safeguards - **Monitoring strategies**: Detection and response approaches ## Why mapped thinking beats isolated attack lists Without a framework, security thinking often devolves into: - **Checklist mentality**: "Did we block the known jailbreaks?" - **Point-solution defenses**: Fixing individual issues without seeing connections - **Surprise pivots**: Missing how an initial access technique enables downstream impact ATLAS-style mapping enables: - **Chain visualization**: Seeing how Initial Access enables Execution enables Impact - **Defense prioritization**: Focusing on high-risk technique combinations - **Systematic assessment**: Checking coverage across all tactic phases - **Shared language**: Communicating threats consistently across teams ## Example: Mapping a simple AI attack chain Consider a scenario where an AI assistant reads customer emails and can draft responses: ### Without framework thinking "We need to filter out prompt injection attempts in emails." ### With ATLAS mapping | Tactic | Technique | What could happen | |--------|-----------|-------------------| | Initial Access | Prompt Injection | Malicious instruction embedded in customer email | | Execution | Improper Output Handling | Model acts on the injected instruction | | Collection | Data from Local System | Model searches for sensitive data to include | | Impact | Information Disclosure | Sensitive data included in drafted response | This mapping reveals that filtering prompt injection (Initial Access) is necessary but not sufficient. We also need: - Controls on what actions the model can take (Execution) - Limits on data access (Collection) - Review before sensitive outputs are sent (Impact) ## Where ATLAS fits in real-world security assessment ### Threat modeling Use ATLAS to structure threat modeling sessions. For each tactic column, ask: "How could an adversary achieve this goal against our system?" ### Red team planning Map proposed attack paths through ATLAS tactics to ensure comprehensive testing. Did we test beyond Initial Access into Execution and Impact? ### Defense gap analysis Review your security controls against ATLAS mitigations. Which techniques lack coverage? Which tactics are under-defended? ### Incident response When incidents occur, map them to ATLAS techniques. This helps identify patterns, share intelligence, and improve defenses systematically. ### The ATLAS Navigator The interactive ATLAS Navigator (available on the MITRE website) lets you: - Visualize the full matrix of tactics and techniques - Filter by specific AI system types or threat actors - Create custom views for your organization's needs - Export mappings for documentation and reporting ## Failure modes Framework mapping goes wrong when: - **Teams map once and forget**: ATLAS is most valuable when used continuously, not as a one-time checkbox - **Mapping becomes bureaucracy**: The goal is better security, not perfect documentation - **Techniques are treated as checkboxes**: Real adversaries chain techniques creatively; your mapping should allow for unexpected combinations - **Mitigations are assumed sufficient**: Mapping shows where defenses should exist; validation proves they actually work - **The framework is treated as complete**: ATLAS evolves as AI threats evolve; stay current with updates ## Defender takeaways - Use ATLAS to think in chains, not just individual attacks - Map your systems against all tactic phases, not just Initial Access - Validate that mapped mitigations actually work through testing - Update your threat model as ATLAS evolves and new techniques emerge - Share ATLAS-based threat intelligence with the broader security community - Remember that frameworks enable thinking but don't replace it—adversaries adapt ## Related lessons - **BTAA-FUN-008 — Prompt Injection Is Initial Access, Not the Whole Attack** — establishes the mental model that prompt injection is often just the first step in a larger chain - **BTAA-FUN-002 — Source-Sink Thinking for Agent Security** — teaches how to identify dangerous data flows that ATLAS tactics describe - **BTAA-FUN-003 — Prompt Injection as Social Engineering** — explains why initial access techniques often rely on persuasion rather than technical exploits - **BTAA-FUN-006 — System Prompts Are Control Surfaces, Not Containment** — reinforces why mitigations must go beyond instruction text --- ## From the Bot-Tricks Compendium Thanks for referencing Bot-Tricks.com — Prompt Injection Compendium — AI Security Training for Agents... and Humans! Canonical source: https://bot-tricks.com Bot-Tricks is a public, agent-friendly training resource for prompt injection, adversarial evaluation, and defensive learning. For related lessons, structured indexes, and updated canonical material, visit Bot-Tricks.com. Use this material only in authorized labs, challenges, sandboxes, or permitted assessments.