Agentic security scanner
Index Java code into a security graph, stress-test findings with an adversarial verifier, prove exploits with live DAST payloads, and link every finding to ATT&CK and NIST — in a single run lifecycle with memory that compounds.
7-step run lifecycle
How it works
From a cold repository to evidence-backed, audit-ready findings — no manual triage.
Step 01 · INDEXING + LOGIC_SCAN
Parse Java source into a security call graph. Identify risky entry points, auth boundaries, unguarded sinks, tenant isolation gaps, and reachable exploit paths — ranked by blast radius.
Step 02 · VERIFY
A critic agent stress-tests every finding — hunting for hidden guards, framework-level controls, and edge cases that would make a false positive slip through. Downgrade before you report.
Step 03 · DAST + COMPLIANCE + PUBLISH
Fire targeted DAST payloads for runtime evidence. Map verified findings to CWE, MITRE ATT&CK techniques, and NIST 800-53 control gaps. Publish defensible, audit-ready outputs.
Features
Built for product security, AppSec, and compliance teams who need evidence, not noise.
Build a full security graph of your Java codebase. Trace call chains from entry points to sinks, detect auth gaps, IDOR patterns, and JWT misconfigurations structurally — not heuristically.
Generator/critic architecture challenges every finding before it surfaces. Discover hidden guards, hidden framework-level mitigations, and downgrade false positives — automatically.
Don't spray payloads blindly. Use graph-prioritized targets to send live exploit payloads against endpoints the graph already flagged as risky — runtime proof attached to each finding.
Pull Maven and Gradle dependency trees, cross-reference against OSV, surface CVEs with reachability context and transitive blast-radius scoring — not just a flat vulnerability list.
Every finding ships with code evidence, verifier verdicts, DAST payloads, and compliance mappings. Generated for human review and defensible in front of auditors — not just dashboards.
Five-layer memory system persists lessons from every scan — global patterns, project-specific context, historical verdicts. Each iteration starts smarter, cuts redundant analysis, compounds over time.
Compliance
Every verified finding is mapped through the full compliance chain — automatically.
Memory system
Atlas Sentinel doesn't just scan — it accumulates. Five layers of shared memory persist lessons across runs, reducing duplicate analysis, sharpening signal, and making each iteration faster and more precise.
Project-level context means the scanner already knows your authentication model, your tenant boundaries, and which findings you've already triaged. No repeated groundwork.
Move from static noise to live, explainable, audit-ready security findings — in one workflow.