Reachability decides what's real. Griffin AI drafts the fix. You get a clean queue, real metrics, and one policy engine across every scanner — including the AI agents your team already ships with.
Snyk shows 1,200 criticals; your dev team has fix-rate fatigue and ignores the queue.
Your secret detection, container scan, IaC scan, and SCA each have their own dashboard and policy.
Half your week is writing exception justifications nobody reads.
AI features are launching in product. Nobody mapped the agent footprint and you're the one who'll be asked.
Engineering doesn't trust the tools because they've been burned by phantom criticals before.
You can't hire your way out of the false-positive problem and finance just paused requisitions.
Line by line — what each use case does for your specific role.
AI-native and traditional, in the rhythm of your week.
The Customer Personas where this role gets the most from Safeguard.