Research, field notes and product news from the team building the end-to-end AI trust platform.
LLM hijacking campaigns show how attackers exploit large language models to leak data, manipulate outputs, and gain unauthorized access. Monitoring and governing…
AI agents now make decisions and take actions with growing autonomy, introducing real but often invisible risk. Without AI-native oversight, enterprises are…
Agentic AI can perceive, reason, and act autonomously, but that autonomy fails when an agent’s actions diverge from human intent. Closing this…
The NIST AI Risk Management Framework applies to vendor systems as much as your own. Learn how to extend Govern, Map, Measure,…
AI agents bring both opportunity and unique risk, and most cybersecurity programs have gaps they can't see. This framework maps AI agent…
Regex is transparent but brittle, LLMs are context-aware but non-deterministic, and Transformers stay powerful yet opaque. Cranium's deterministic semantic labeling combines their…
A practical guide to what AI governance means, why it matters for modern enterprises, and the three core components needed to operationalize…
The EU AI Act's August 2025 deadline introduces binding obligations for General-Purpose AI providers, including transparency reporting and systemic risk assessments, with…
In July 2025, the Biden-era AI executive order was revoked and replaced with Executive Order 14179 and America's AI Action Plan, which…
Cranium and Supply Wisdom announced a strategic partnership to address risks at the intersection of AI and supply chain ecosystems. Their joint…
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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