MITRE ATLAS
AssessTechniques
Adversarial threat framework for analyzing attacks against AI systems.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by security coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 5InfoQ·8/10/2026securityUsing Adversary Emulation for GenAI Red Teaming
Kennedy Torkura outlines practical red teaming methods for generative AI systems, with a focus on protecting LLMs and knowledge bases from threats such as data poisoning and LLMjacking on AWS. The presentation shows how engineering leaders can combine cloud security practices with MITRE ATLAS to identify weaknesses early, apply guardrails, and harden production AI applications.