StackHawk

StackHawk — Technical Use Cases

1. Closing the AI agent security gap AI coding agents (Claude Code, Cursor, Copilot, Codex, Antigravity) generate and ship code at high velocity. StackHawk integrates into the agent loop to run DAST scans against the running app before a PR is opened, ensuring no net-new exploitable vulnerabilities are introduced per commit.

2. Exploitability-filtered vulnerability triage Because StackHawk performs runtime DAST rather than static analysis, every finding is confirmed exploitable against the live application. This eliminates noise from theoretical vulnerabilities and gives developers a high-signal, actionable backlog.

3. Automated find → fix → verify in CI StackHawk enables a fully automated remediation loop: the agent triggers a scan via the API, receives findings, applies code fixes, and re-triggers a scan to verify remediation — all within the same pipeline run, before human review.

4. Per-commit security attestation StackHawk produces a clean CI signal and attestation per commit. Security teams can use this as a verifiable audit trail demonstrating that every shipped commit was scanned for exploitable vulnerabilities.

5. Vulnerability backlog reduction By catching and fixing vulnerabilities at the agent/coding stage rather than post-merge, teams prevent backlog accumulation and avoid costly remediation cycles after code reaches production.

6. Unlimited app coverage at scale Both the Wingman and Scale plans support unlimited apps, making StackHawk suitable for organizations with large or growing application portfolios. The Scale plan adds unlimited agentic scans for high-throughput environments.