Bottom line up front: Eliminate months-long AI security and compliance approval cycles by automating governance — not skipping it.
The Problem You Already Know
Your AI teams are moving fast. Your governance processes aren’t.
We saw this first-hand, with our customers, six months ago. Engineers were deploying new AI features monthly. The security and compliance reviews were taking three months. Do the math — it doesn’t work.
Every CIO I talk to has the same problem: feeling as if they must choose between speed and security. It’s a false choice — but a common trap.
What Actually Works
We automated governance instead of relying on the traditional manual process. Here’s what changed:
- Before: Manual review process → Delays → 3-month approval cycle
- After: Developer PR triggers automated scans → Vulnerability report → Auto-approval for low risk → Auto-fixes applied → Rescan → Release in 2 weeks
The key: embed AI model security checks and AI BOM generation into development workflows. Cranium does this natively — no disruption to developer tools or pipelines.
Four Changes That Delivered Results
- Real-time AI Security Reviews: Every commit is scanned. Risk-scored. Flagged only if needed.
- Evidence-Based Vendor Risk: AI BOMs for third parties — no more guesswork.
- Always-Current Compliance: Live inventory. No spreadsheet scramble at audit time.
- Pipeline Integration: Catch problems during builds — not after deployment.
The Result
3-month approval cycles became 2-week sprints. Better trust. Fewer workarounds. Stronger security.
The Reality Check
Are your AI governance processes enabling innovation — or preventing it?
