A dynamic scanner that starts where the static analyser left off. The call-graph, route table, and auth middleware chain are inputs to the crawl — not unknowns to be rediscovered. The result is a scan that runs in minutes and produces findings with code-level context attached.
The line between SAST and DAST disappears when both scanners share the same graph. The result is faster scans, fewer false positives, and code-anchored findings.
Most DAST tools start by guessing your app's structure from the outside. Ours starts with the static call-graph from Safeguard's code scanner — every controller, every route, every guard — and then probes only the surfaces that exist.
Targeted payload generation per sink class — SQL, OS command, SSRF, XSS, deserialisation — informed by the parameter shapes the code expects. The fuzzer skips wide grids of obviously irrelevant payloads and concentrates on the path that's actually exploitable.
Pulls from OpenAPI, GraphQL introspection, gRPC reflection, and live traffic samples. The endpoint inventory rebuilds itself per scan, so newly-shipped routes are covered the moment they go live — not the next quarterly assessment.
First-class support for form auth, OAuth 2.0 with refresh, JWT bearer, session cookies, SAML, and mutual TLS. Sessions are re-established mid-scan when they expire — no half-scanned reports because a token timed out at minute 11.
Full coverage of injection, broken auth, sensitive data, XXE, broken access control, misconfiguration, XSS, deserialisation, vulnerable components, and logging gaps — plus the API-specific OWASP list.
Subsequent scans focus on what changed since the last clean run. A nightly delta against a known-good baseline takes minutes, not hours, so the queue stays current with every deploy.
Pulls the route table, controller map, and authn middleware chain from Safeguard's SAST run on the same commit.
Combines OpenAPI specs, GraphQL introspection, gRPC reflection, and recent traffic samples into a deduplicated, parameter-typed inventory.
Runs the configured auth flow, captures the session, and verifies it against a protected canary endpoint before the scan begins.
Probes each endpoint with sink-aware payloads. Hits are confirmed with a second-stage verification request that proves exploitability, not just response anomaly.
Each finding is enriched with the function and file the request landed in, the patch that introduced the regression, and the static call-graph annotation.
Findings push to the same triage workflow as your SAST and SCA results. No new dashboard, no parallel ticket stream.
DAST findings join your SAST and SCA results in one ranked queue. The engineer doesn't context-switch dashboards to triage a single change.
Bring one production-facing service. We'll point the scanner at it, share the crawl graph, and triage the top findings live.