AI is being adopted faster than your traditional controls can keep up. Cranium closes that gap — detecting, testing, and monitoring every model and dependency so you resolve issues before they're exploited.
The systems your teams are building and adopting are exactly the ones your existing tools can't see into. Four gaps keep security leaders up at night.
Shadow AI, embedded models, and unapproved integrations spread across code and cloud with no formal review or controls.
Legacy tools can't detect model drift, poisoned data, or insecure APIs — vulnerabilities that live inside the model itself.
Attackers target prompt injection, jailbreaking, data leakage, and model inversion — abuse cases legacy defenses can't stop.
Point-in-time testing can't keep pace with retraining, new data sources, and dependencies added after deployment.
Cranium gives security teams a continuous loop — detecting hidden AI assets, surfacing vulnerabilities, and enforcing the guardrails that protect your data, models, and infrastructure.
Automatically detect every model, dataset, and integration across codebases, notebooks, and cloud environments — eliminating shadow AI for good.
Run MITRE ATLAS-aligned testing for prompt injection, data exfiltration, model theft, and abuse cases — and produce actionable findings and evidence.
Track drift, data exposure, and API changes in real time, alert owners, and map controls to NIST AI RMF and ISO/IEC 42001 — validating policy adherence across every environment.
Gain full visibility into your AI landscape and communicate AI risk in clear, measurable terms to leadership and regulators.
Fold AI vulnerability scanning and red-teaming into existing workflows for faster detection, testing, and remediation.
Unify oversight across on-prem, hybrid, and cloud to protect against model misuse, data exposure, and API risk.
Instantly detect vulnerabilities and strengthen your defenses with Cranium's AI governance suite — built for the teams on the front line.
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