Outcome · Cut false positives

Cut your vuln backlog by 80% in week one.

Reachability + call-graph + EPSS/KEV prioritization mean Griffin AI only opens tickets for CVEs that are actually exploitable in your code — without dropping a single real risk.

80%
Fewer false positives
11×
Higher fix rate
92%
Faster MTTR
100
Levels deep

What today looks like.

AppSec triages 1,200 findings a quarter; engineers fix 11% of them.

Devs ignore the queue because they've been burned by phantom criticals before.

Audit prep means filtering "not really exploitable" by hand, in a spreadsheet, at 11pm.

How Safeguard solves it.

AI-native and traditional, working together.

AI-Native

Griffin AI does the triage

Cross-language call-graph reachability decides which CVEs are exploitable in your code. EPSS + KEV decide which are exploitable in the wild. The intersection is the only queue your team sees.

Griffin AIAuto-FixReachability Analysis
Traditional

Backed by real coverage

Reachability is layered on top of full SCA, IaC, DAST, and container scans — so when something is suppressed, the evidence trail still exists for auditors.

SCAScanner SuiteSBOM Studio

Before vs. after.

Dimension
Without Safeguard
With Safeguard
Vulnerabilities raised / quarter
~1,200
~240, all reachable
Dev fix rate
11%
>85%
Auditor evidence
Spreadsheets, manual
VEX statements + policy logs
Backlog age (P50)
147 days
9 days

See your real backlog, ranked by reachability.

Bring a recent Snyk / Black Duck / Veracode export. We'll rerun it with Griffin in 30 minutes.