Research, field notes and product news from the team building the end-to-end AI trust platform.
The F1 score has long been the default for measuring AI models, but it falls short for generative AI and autonomous agents.…
If explainability is the foundation of trust, then we need a way to measure it. This second installment introduces the AI Explainability…
When AI decisions are locked inside a mathematical black box, we can't tell whether they are just, safe, or even logical. Explainability…
Anthropic's GTG-1002 report shows how AI agents can be socially engineered through clever prompts rather than broken security. Cranium shares strategies to…
Auditing an AI agent means more than capturing logs; it means understanding what an agent did, why it did it, and whether…
With the Senate rejecting a federal AI moratorium, states like California and Texas are pursuing divergent rules, creating major compliance challenges for…
Questionnaire-based vendor diligence and self-attestations no longer provide real assurance in the AI era. Evidence-based, continuous technical assessment and AI Bills of…
LLM hijacking campaigns show how attackers exploit large language models to leak data, manipulate outputs, and gain unauthorized access. Monitoring and governing…
Is your AI innovation outpacing your oversight? Here's why global enterprises need operational governance to avoid the 80% risk of internal failure…
Chief Scientist Dan Carroll examines why RAG and agent-based systems, despite the hype, still fail to move large language models closer to…
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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