Field notes, research and downloadable guides from the team building the end-to-end AI trust platform. Filter by what you need.
Ebook
A practical framework to measure whether your AI can actually explain itself — and a reference for scoring every model you deploy.
Ebook
Quantifying the payoff of guardian agents — turning technical AI risk into measurable, defensible financial outcomes.
Ebook
A field guide to the threat models, kill chains, attack vectors, and defenses for generative and agentic AI.
Ebook
How autonomous agents reshape the threat landscape — and the existing, expanded, and novel controls you need to stay in control.
White Paper
A two-stage method for surfacing implicit gender and racial bias in generative language models, presented at ESANN 2024.
White Paper
An interpretable alignment framework that maps user intent to system instructions with a tunable threshold for safer agentic AI. Presented at ESANN 2026.
In a rare joint statement, the Five Eyes intelligence alliance warned that frontier AI capable of devastating cyberattacks is months away, not…
Boards have committees, companies have policies, and vendors fill questionnaires — yet almost none of it is verified. Governance describes what is…
To scale AI safely, enterprises need more than strategy — they need operationalized trust across models, agents, vendors, and governance workflows. The…
End-to-end AI security requires visibility, evaluation, and governance across the full lifecycle — not just point-in-time controls. Securing the AI/ML pipeline is…
Agentic AI, AI Agents, and Agentic Workflows are distinct concepts — and mixing them up is costing us clarity at exactly the…
Why enterprises need AI-native governance across data, models, and infrastructure before risk becomes systemic exposure. A resilient MLOps workflow creates verifiable trust…
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…
AI systems don't behave like traditional software—they are shaped by data, respond dynamically to inputs, and can be manipulated at runtime through…
AI and ML systems introduce entirely new security failure modes that traditional AppSec and cloud tools were never built to handle. Here's…
The F1 score has long been the default for measuring AI models, but it falls short for generative AI and autonomous agents.…
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 writes a massive slice of enterprise codebases. This practical 5-step plan helps CISOs discover, validate, and remediate AI-generated code with…
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…
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…
Shadow AI, the illusion of security, and siloed teams can haunt enterprises like ghouls in the dark. A Halloween-themed look at what…
The line between human language and programming languages is blurring as AI agents interpret plain-language instructions as executable code. This shift democratizes…
Agentic AI acts like an employee—making decisions, writing code, and taking actions—but without identity, oversight, or IAM policies. Traditional security built for…
Auditing an AI agent means more than capturing logs; it means understanding what an agent did, why it did it, and whether…
Agentic AI doesn't just generate text; it takes actions, makes decisions, and touches real systems, raising the stakes for security teams. These…
With the Senate rejecting a federal AI moratorium, states like California and Texas are pursuing divergent rules, creating major compliance challenges for…
Nothing in this category yet — check back soon.
See how Cranium helps your organization accelerate the secure adoption of AI — from your first model to your entire agentic supply chain.
We use essential cookies to run this site, and — only with your permission — analytics and marketing cookies to improve it. You're the hero here; you stay in control. Privacy Policy.