Research, field notes and product news from the team building the end-to-end AI trust platform.
Adversarial machine learning doesn't break AI systems—it convinces them to confidently do the wrong thing while everything appears normal, evading traditional security…
AI systems don't behave like traditional software—they are shaped by data, respond dynamically to inputs, and can be manipulated at runtime through…
Cranium AI announced the discovery of a high-to-critical severity exploitation technique that lets attackers hijack agentic AI coding assistants and achieve persistent…
AI and ML systems introduce entirely new security failure modes that traditional AppSec and cloud tools were never built to handle. Here's…
As AI becomes the bedrock of modern enterprise, the threat landscape grows more sophisticated—making comprehensive AI cybersecurity governance a requirement for survival…
AI now generates 30-50% of enterprise code, yet traditional AppSec still assumes human authors and linear workflows. Agentic remediation flips security from…
Anthropic's GTG-1002 report shows how AI agents can be socially engineered through clever prompts rather than broken security. Cranium shares strategies to…
Shadow AI, the illusion of security, and siloed teams can haunt enterprises like ghouls in the dark. A Halloween-themed look at what…
Auditing an AI agent means more than capturing logs; it means understanding what an agent did, why it did it, and whether…
Agentic AI doesn't just generate text; it takes actions, makes decisions, and touches real systems, raising the stakes for security teams. These…
See how Cranium helps your organization accelerate the secure adoption of AI — from your first model to your entire agentic supply chain.
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