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AI Security

MITRE ATLAS — AI Red Teaming and Threat Modelling for AI Systems

MITRE ATLAS is the ATT&CK-style knowledge base for attacks on AI and machine-learning systems. It catalogues the tactics and techniques adversaries use against models, LLM applications and AI agents, backed by real case studies.

Mutex Systems uses ATLAS to threat-model AI systems and to plan AI red-team exercises, alongside the OWASP LLM and Agentic Top 10 lists.

Category
Testing Methodology
Jurisdiction
United States
Issuing Body
MITRE
Current Version
Updated regularly — 16 tactics in the 2026 releases, with a growing set of AI-agent techniques (see atlas.mitre.org for current counts)
Who It's For
Organisations building or deploying AI — chatbots, copilots, RAG systems, AI agents and ML models — and security teams that need to defend them.
Read the official source
What It Covers

Core Domains

Reconnaissance and resource development against AI systems
Initial access through prompt injection and supply chain
ML model access and attack staging
Data and model poisoning
Model theft and inference attacks
Exfiltration through AI interfaces
Impact: evasion, denial of ML service, harmful output
AI agent techniques: tool abuse and memory manipulation
How It Works

A Practical Engagement Path

  1. 01

    AI inventory

    List models, data pipelines, tools and agents, and who can reach them.

  2. 02

    Threat model

    Map relevant ATLAS tactics and techniques to each AI system.

  3. 03

    Red team

    Run the techniques that matter — prompt injection, data exfiltration, tool abuse.

  4. 04

    Defend & detect

    Recommend guardrails and SOC detections mapped to ATLAS.

Our Approach

Attack the AI the way adversaries do

ATLAS gives a shared language between AI engineers and security teams, so findings lead to concrete guardrails and detections.

  • ATLAS-mapped threat models
  • AI red teaming of LLM apps and agents
  • Detections for AI misuse in your SOC
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Compliance, Continuously

AI security tracked with AI governance

grComply’s AI governance area keeps your AI systems, risks and controls together, and AI test findings map to ISO 42001, NIST AI RMF and the EU AI Act.

  • AI systems and their risks recorded in one place
  • AI test findings linked to ISO 42001 and NIST AI RMF controls
  • Risk register entries for each high-risk AI threat
  • Evidence of testing and human oversight for auditors

grComply is Mutex Systems' own multi-tenant GRC automation platform — the framework library, hybrid scanning, risk and audit workflow, and AI-assisted compliance behind every point above are live in production today.

See How grComply Works
FAQs

Common Questions About MITRE ATLAS

How is ATLAS different from ATT&CK?

ATT&CK covers attacks on enterprise IT; ATLAS covers attacks on AI and ML systems, reusing the same tactic-and-technique structure so security teams can use both together.

Does ATLAS cover AI agents?

Yes. Recent releases added many techniques for agentic AI, such as abusing an agent’s tools or manipulating its memory.

Is ATLAS a compliance requirement?

No, but it is the accepted reference for AI threat modelling and supports ISO 42001, NIST AI RMF and EU AI Act risk-management obligations.

Let's Talk

Ready to Start Your MITRE ATLAS Programme?

Send us your current posture and timeline. Within two working days you will receive a written response and a proposed scoping call.

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