Supply-chain attacks, adaptive fuzzing, and container inventory gaps show that AI increases both attack speed and correction speed. The focus is shifting from detection to knowing exactly what runs in production.
A supply-chain attack on LiteLLM exposed terabytes of credentials from over 2,500 organizations, including Microsoft, Amazon, Cisco, Samsung and Salesforce. CloudSEK and Hudson Rock analyzed a 195TB file and found cloud keys, repository tokens, Kuber...
Artificial intelligence is accelerating both attacks and fixes, but the competitive advantage shifts from those with the best detectors to those who know exactly what runs in their containers. Supply chain transparency and SBOMs become the most concr...
A new evaluation framework pairs a unified taxonomy benchmark with self-adaptive multimodal fuzzing (SAMF) and shows that state-of-the-art MLLMs degrade under stress, revealing a gap between reasoning and factual grounding. RL alignment even worsens ...
