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Shannon AI

Shannon AI is an AI-powered penetration-testing and application-security suite for web apps and APIs. It merges static source-code analysis with real dynamic verification, plugs into Git/CI pipelines, performs black-box testing, and delivers step-by-step reproducible reports with working PoCs so teams can focus on verified risks.
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AI penetration testingcode-aware security testingSAST SCA static analysisbrowser-automated PoC validationCI/CD security scanningblack-box & white-box testingOWASP vulnerability detection

Features of Shannon AI

Unifies SAST, SCA, secret scanning and business-logic analysis into a code-level risk view
Git/CI native: diff-aware scans that run continuously inside the dev workflow
Combines LLM reasoning with AST/CFG/CPG for accurate data-flow and reachability analysis
Uses browser automation to execute real exploits and generate reproducible PoC evidence
Correlates and deduplicates static & dynamic findings, keeping only high-confidence, verified issues
Black-box mode tests live running applications
Reports include severity, priority, CWE/OWASP mapping and fix guidance
Multi-agent pipeline covers recon, analysis, exploitation and reporting
Integrates popular security tools and ships as containers for easy deployment
Handles login, navigation and other auth flows to cover complex business paths

Use Cases of Shannon AI

Trigger diff-only security checks before code merge to flag high-risk changes
Run end-to-end penetration tests on critical business paths before release
Execute periodic scans inside CI/CD to catch regression vulnerabilities
Perform black-box testing on internet-facing production services
Assess reachability and risk priority of third-party dependencies
Verify sensitive-data leaks and mis-configurations with evidence
Let security teams consolidate SAST/SCA/pen-test results around reproducible issues
Support compliance or internal audits with white-box tests that guide remediation
Validate authentication, authorization and session security before new features ship
Replay attack chains in a sandbox to verify that fixes actually work

FAQ about Shannon AI

QWhat is Shannon AI?

Shannon AI is Keygraph’s AI-driven penetration-testing and application-security suite. It blends static source-code analysis with dynamic exploit verification for web applications and APIs.

QWhich vulnerability classes does Shannon AI cover?

Injection, XSS, SSRF, authentication & authorization bypass, privilege escalation, dependency risk, secret leakage and business-logic flaws—scope adapts to your configuration and target.

QHow do I use Shannon AI inside CI/CD?

Connect it to Git/CI for diff-aware scans that trigger on builds or pull requests and return reproducible reports with prioritized findings.

QCan Shannon AI perform black-box testing?

Yes. It can test live applications in black-box mode and also start with white-box source analysis followed by dynamic verification.

QWhat does the test output look like?

A full penetration-test report with severity, CWE/OWASP mapping, fix advice and reproducible PoCs, clearly marking exploited, potential or false-positive issues.

QCan it handle complex authentication flows?

It supports login, navigation and multi-step authentication for common business processes; exact coverage depends on your configuration and environment.

QWhat deployment options are available?

Container-based deployment is supported for easy integration and environment isolation; follow the official docs for detailed steps.

QIs Shannon AI open source? What editions exist?

Shannon Lite is available under AGPL-3.0; Shannon Pro is the commercial edition. Choose based on your needs.

QDoes it require heavy upfront configuration?

You can start with minimal config, but auth flows, scope and environment differences may need tuning. Always run in authorized, controlled environments.

QDoes Shannon AI guarantee zero false positives or full coverage?

No. The strategy is to verify findings through real exploitation and reproducible PoCs, reducing noise and focusing on high-confidence issues.

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