Research, field notes and product news from the team building the end-to-end AI trust platform.
Agentic AI, AI Agents, and Agentic Workflows are distinct concepts — and mixing them up is costing us clarity at exactly the…
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…
AI systems don't behave like traditional software—they are shaped by data, respond dynamically to inputs, and can be manipulated at runtime through…
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…
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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