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30+ security tools,
AI Security Toolkit V4
30+ security tools,
one AI brain
Claude is the orchestrator. Semgrep, ZAP, Trivy, Nuclei, and 26 more tools are the sensors. 9 specialist agents coordinate them in a 7-phase pipeline, then cross-pollinate findings to build attack chains no single tool would catch.
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9
AI Agents
30+
Security Tools
7
Phase Pipeline
95%+
OWASP Coverage
ai-security-scan-v4
$ /ai-security-scan-v4 --repo github.com/client/webapp
[V4] Initializing 9 specialist agents...
[SURFACE] 23 endpoints, 4 auth flows, 2 file uploads
[SAST] Semgrep + Bearer: 3 findings in 847 files
[SCA] CVE-2024-3241 (jsonwebtoken 8.5.1) HIGH
[DAST] ZAP + Nuclei probing 23 endpoints...
[AGENT:auth-bypass] Session fixation in /api/oauth/call
[CHAIN] SCA CVE + DAST endpoint = token forge → admin
[AUDIT] OWASP Top 10: 95.2% covered, gap: SSRF
[REPORT] 7 phases complete → 14 findings, 2 attack chains
Section 01
9 Specialist Agents
Each agent focuses on a specific attack class. They run in parallel, share findings, and build multi-step attack chains that individual tools would never detect.
CLAUDE
Protocol Analyst
Auth Bypass
Client DOM
Injection
SAST
SCA
Secrets
DAST
Coverage
Protocol Analyst
Maps API endpoints, auth flows, file upload handlers, and WebSocket connections.
Auth Bypass
Tests session management, OAuth, JWT validation, privilege escalation, IDOR.
Client-Side DOM
Scans for XSS, prototype pollution, client-side injection, postMessage handlers.
Injection Chains
Tests SQLi, command injection, SSTI, SSRF, path traversal with context-aware payloads.
SAST Agent
Static analysis via Semgrep, Bandit, njsscan, Bearer, gosec with custom rules.
SCA Agent
Dependency scanning with Trivy, Syft, pip-audit. Maps CVEs to usage paths.
Secrets Agent
Runs gitleaks, trufflehog across git history. Validates if keys are still active.
DAST Orchestrator
Coordinates ZAP, Nuclei, sqlmap, Wapiti, ffuf, XSStrike, Dalfox against live endpoints.
Coverage Coverageor
Maps findings to OWASP Top 10. Triggers gap-fill scans for zero-coverage categories.
Section 02
What Makes This Different
| Capability | Description | Example |
|---|---|---|
|
SPEC-01
Cross-Pollination
|
When one agent finds something, it tells related agents to focus there. SCA finds vulnerable JWT library → DAST agent targets auth endpoints using that library. | SCA CVE → DAST focus |
|
SPEC-02
Attack Chains
|
Individual findings are medium severity. Combined, they're critical. The toolkit links SCA + DAST + Auth findings into full exploitation paths. | JWT vuln + /api/refresh → admin |
|
SPEC-03
Coverage Coverage
|
Every scan maps findings to OWASP Top 10 categories. If any category has zero coverage, gap-fill scans run before the final report. | Gap: SSRF → run nuclei ssrf |
|
SPEC-04
Human Review
|
AI finds and correlates. Humans verify and prioritize. Every critical finding is manually validated before it appears in your report. | AI: 14 findings → Human: 9 valid |
Section 03
7-Phase Pipeline
1
Surface
Map attack surface: endpoints, auth, uploads
2
Parallel
9 agents run concurrently
3
Cross-Pollinate
Share findings between agents
4
Chain
Build multi-step attack paths
5
Coverage
Check OWASP Top 10 coverage
6
Gap-Fill
Target zero-coverage areas
7
Report
Human-reviewed findings
Section 04
30+ Security Tools
SAST
Semgrep
Bandit
njsscan
Bearer
gosec
SCA
Trivy
Syft
pip-audit
Safety
npm-audit
DAST
ZAP
Nuclei
sqlmap
Wapiti
ffuf
XSStrike
Dalfox
Secrets
gitleaks
trufflehog
detect-secrets
IaC
Checkov
tfsec
kics
Cloud
Prowler
Kubescape
ScoutSuite
Custom
dom-scanner.js
oob-detector.sh
param-fuzzer.sh
chain-builder.py
Proof
See it in action
We ran BetterQA against PortSwigger's Gin & Juice Shop - the same target used by Escape to benchmark DAST scanners. The results? 27 findings, 6 attack chains, and credentials extracted that other scanners missed.
Read the benchmarkReady for a security assessment?
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