66 Studies Reveal Big Blind Spots In How AI Agents Are Tested For Attacks
A review of 66 studies on AI agent security found that most testing focuses on a few kinds of attacks against single bots, leaving threats like attacks spreading between bots and slow, long-running compromises far less tested. Key Takeaways Researchers at Australia's CSIRO and South Korea's Sungkyu…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-11-11 00:04 · DEV Community — Machine Learning
66 Studies Reveal Big Blind Spots In How AI Agents Are Tested For Attacks