Research, field notes and product news from the team building the end-to-end AI trust platform.
Every year you rebuild the same spreadsheet: sixty tabs, undated screenshots, nineteen emails, eleven replies. Six weeks later you sign an attestation…
Your GRC platform assumes the thing it governs holds still. AI doesn't—vendors swap models mid-contract and questionnaires can't see it. What GRC…
Vendor demos for AI governance platforms all sound alike—the differences only surface under questions that can't be answered with a yes. Ten…
Six vendors, six spreadsheets, every box green—and the matrix still can't tell you which platform actually discovers shadow AI. Evaluate against your…
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…
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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