Use case · Secure Coding

Exploitability triage with product context.

High-severity findings from scanners are triaged with design and code context so teams focus on what is materially exploitable in their environment.

3
Exploitable
Reachable, exposed and material. Fix immediately, auto-routed to Jira with the attack path attached.
6
Needs investigation
Ambiguous reachability. Queued for manual review with the agent’s reasoning and surrounding code context.
41
Not exploitable
Mitigated or unreachable in this codebase. Suppressed with a rationale, so engineers see the most relevant results first.
The findings board

Every high-severity finding gets a decision.

Findings are classified into exploitable, needs review, or low materiality with clear rationale to reduce queue noise and improve response focus.

See how the gate uses it
Exploitability Check · Findings board
6 analyzed
Exploitable2
CRITICAL92% · CVSS 9.1
SQL injection in admin refund search
Semgrep
HIGH78% · CVSS 7.5
Missing rate limit on webhook replay probe
Snyk
Needs investigation2
HIGH71% · CVSS 8.2
Gateway workload egress may reach cloud metadata
Wiz
HIGH63% · CVSS 7.8
Reachable deserialization helper behind flag
Endor
Not exploitable2
HIGH84% · CVSS 6.6
JWT parser dependency one minor below advisory
Snyk
CRITICAL88% · CVSS 9.0
Hardcoded HMAC test vector published in CI artifact
Semgrep
The problem

Scanner volume is not the same as exploitable risk.

Raw feeds create alert fatigue. Exploitability triage answers the key release question: is this issue reachable, exposed, and material in this codebase?

How it decides

Context generic scanners do not include.

Design & threat context

Findings are correlated against the approved design and the threat register, not judged in isolation.

Reachability analysis

The agent traces whether the vulnerable path is actually reachable and exposed in this codebase.

Attack-path evidence

Every verdict carries a step-by-step attack path and the evidence behind it, auditable, not a black box.

Bulk Jira creation

Exploitable findings route straight to Jira; suppressed ones carry a documented rationale.

Live re-scan

Re-run against connected SCA/SAST tools on demand and watch the board update.

Feeds the gate

Exploitability becomes one of the four dimensions the merge gate evaluates.

40%
Queue noise reduction
3
Priority findings surfaced
4
Triage dimensions
1
Escalations later downgraded
Get in touch

Design becomes policy.
Policy becomes the gate.

See how exploitability decisions feed enforceable release control on your own stack.