Stop triaging. Start shipping fixes.
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.
What your week looks like today.
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.
Benefits, by use case.
Line by line — what each use case does for your specific role.
What you'll actually use.
AI-native and traditional, in the rhythm of your week.
- Griffin AIReachability + fix synthesis. Your new triage engine.
- Auto-FixAutonomous PRs with compatibility testing — keep the merge gates you already trust.
- GuardrailsBlock prompt-injection and credential exfiltration inline.
- MCP ServerInventory and scope every MCP server your agents touch.
- AI-BOMContinuous bill-of-materials for models, prompts, datasets.
- SCADeep transitive dependency analysis across 40+ ecosystems.
- IaC SecurityTerraform/CFN/Pulumi/K8s — drift, policy-as-code, posture scoring.
- DASTAuth-aware crawl + API fuzzing, results fed back into reachability.
- Scanner SuiteOne CLI / one PR check / one dashboard across the lot.
- Secure ContainersZero-CVE distroless base images and Sigstore-signed provenance.
Where this Persona fits.
The Customer Personas where this role gets the most from Safeguard.