v5.1.0
Summary
ATLAS Data v5.1.0 is an updated framework that documents security threats and defenses related to AI systems, now containing 16 tactics, 84 techniques, and 32 mitigations. The update adds new attack methods targeting AI, such as prompt injection (tricking an AI by hiding instructions in its input), deepfake generation, and data theft from AI services, along with new defensive measures like human oversight of AI agent actions and restricted permissions for AI tools. It also includes 42 real-world case studies showing how these attacks and defenses apply in practice.
Classification
Affected Vendors
Related Issues
Original source: https://github.com/mitre-atlas/atlas-data/releases/tag/v5.1.0
First tracked: March 13, 2026 at 12:56 PM
Classified by LLM (prompt v3) · confidence: 92%