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MITRE ATLAS

MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) is a collaborative, open framework that documents how AI systems can be attacked or abused. Developed by MITRE Corporation—famous for the ATT&CK framework—ATLAS maps out known tactics, techniques, and case studies relevant to adversarial machine learning.

The goal of MITRE ATLAS is to help organizations:

  • Understand the threat landscape specific to AI and ML.
  • Share real-world attack scenarios across industries.
  • Create defensive strategies tailored to AI systems.
  • Align detection and response tools with adversarial tactics.

ATLAS categorizes attacks into phases such as reconnaissance, access, exploitation, and impact. It includes techniques like:

  • Model poisoning
  • Evasion through adversarial inputs
  • Prompt injection
  • Model inversion and extraction
  • Training data manipulation

Each technique is documented with examples, detection ideas, and mitigation strategies. ATLAS also includes curated case studies that show how adversaries have targeted real-world AI systems.

The value of ATLAS lies in its structured vocabulary and shared threat model. Like MITRE ATT&CK for traditional cybersecurity, it enables red teaming, detection engineering, and risk communication within AI security programs.

How PointGuard AI Addresses This:
PointGuard AI aligns closely with the MITRE ATLAS framework, incorporating its threat taxonomy into real-time detection, alerting, and response workflows. The platform detects behaviors mapped to known adversarial tactics and empowers teams to proactively defend AI systems using threat-informed controls. By integrating ATLAS principles, PointGuard ensures AI defenses stay aligned with the evolving threat landscape.

Resources:

MITRE ATLAS

MITRE: Understanding MITRE ATLAS

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