Research, field notes and product news from the team building the end-to-end AI trust platform.
AI systems don't need to be compromised to expose data — in many cases, they simply need to function as designed. The…
Modern AI is assembled from datasets, pretrained models, open-source libraries, and third-party APIs, making it powerful but fragile. When one component is…
Adversarial machine learning doesn't break AI systems—it convinces them to confidently do the wrong thing while everything appears normal, evading traditional security…
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…
If explainability is the foundation of trust, then we need a way to measure it. This second installment introduces the AI Explainability…
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…
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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