MITRE ATLAS

MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) is a critical resource for anyone involved in the development, deployment or security of AI systems. It provides a detailed knowledge base of the tactics, techniques and case studies adversaries use to attack AI.

Why MITRE ATLAS matters

• Understanding and protecting AI systems — as AI plays a greater role in decision-making, ATLAS offers a comprehensive framework for understanding its vulnerabilities and preventing attacks.
• Regulatory compliance — with regulations such as UK GDPR mandating appropriate data security, ATLAS helps identify AI security risks and avoid potential penalties.

How it works

• A structured knowledge base — a repository of adversarial tactics, techniques and documented case studies focused specifically on AI systems.
• The ATT&CK for AI framework — a standardised language and methodology to describe and categorise adversarial techniques, helping organisations pinpoint vulnerabilities in their own AI.

Applications in AI and LLM security

• Proactive threat detection — understand weaknesses before they can be exploited.
• Ensuring compliance — map AI security risks to regulatory requirements.
• Informed risk management — make intelligent decisions to mitigate the unique threats facing AI.

Best practices

• Define threat scenarios — outline the threats your AI faces and the likely capabilities of attackers.
• Use realistic data — simulate attacks with data as close to real-world as possible.
• Test regularly — security is ongoing; revisit ATLAS as your system and the threat landscape evolve.
• Involve security experts — specialists in AI attack techniques get the most from the framework.