Skip to content
aicoolies logo
Shannon logo

Shannon

Autonomous AI pentester for web apps and APIs

Shannon is an autonomous white-box AI pentesting tool for web applications and APIs. It analyzes authorized source code, identifies attack vectors, attempts proof-by-exploitation, and produces remediation-ready reports. Shannon Lite is AGPL-3.0 for local use, while Shannon Pro is the commercial Keygraph platform for continuous security testing.

About Shannon

Shannon is an autonomous white-box AI pentesting tool from Keygraph for web applications and APIs. Instead of presenting itself as a generic vulnerability scanner, the current source-supported workflow focuses on authorized source-code analysis, attack-vector discovery, proof-by-exploitation, and remediation-ready reporting. This makes it relevant for teams that are shipping quickly with AI coding tools and need a security review layer that can reason about application-specific risks.

The project is active on GitHub with roughly 44K+ stars at write time and is distributed as Shannon Lite under AGPL-3.0 for local authorized testing. Current documentation emphasizes AI provider credentials, with Anthropic recommended and additional provider routes available. Shannon Pro is the commercial Keygraph edition for organizations that need continuous pentesting, support, or enterprise deployment terms.

For DevSecOps teams, Shannon sits between lightweight scanners and expensive manual pentest engagements. It can help validate exploitability before releases, but teams should not rely on stale fixed benchmark, zero-day-count, or per-scan-cost claims. A source-safe evaluation should pilot Shannon against representative code, measure model/runtime cost, and decide whether the open-source Lite edition or the commercial Pro platform fits the organization’s governance needs.

Pricing & Platform Specs

Pricing Summary

100% open-source and free autonomous AI penetration testing agent developed by Keygraph ($0 software license fee). Self-hosted via Docker with support for automated CI/CD security pipelines. Scan costs depend on user-provided LLM API token consumption (typically $10 to $50 per comprehensive full-application test run depending on code complexity). Commercial licensing and enterprise support are available directly from Keygraph.

full pricing breakdown →

Supported Platforms

Linux, macOS, and Windows-capable deployment. Requires authorized source/application access and AI provider credentials; exact runtime setup depends on Shannon Lite or Shannon Pro.

Explore categories, tags & use cases

NVIDIA's LLM vulnerability scanner and red-teaming tool

garak is NVIDIA's open-source LLM vulnerability scanner for red-teaming AI models and applications. Probes for prompt injection, data leakage, hallucination, toxicity, encoding-based attacks, and dozens of other vulnerability categories. Runs automated attack sequences against any LLM endpoint and generates detailed vulnerability reports. Features a modular probe/detector architecture that is extensible with custom attack patterns. Named after the Star Trek character known for deception.

freeOpen Source

Validate and structure LLM outputs with composable Guards

Guardrails AI is an open-source Python and JavaScript framework for validating and structuring LLM outputs using composable Guards built from a Hub of pre-built validators. It handles structured data extraction with Pydantic models, content safety checks including toxicity, PII detection, competitor mentions, and bias filtering, plus automatic re-prompting when validation fails. The Guardrails Hub offers dozens of validators from regex matching to hallucination detection via LLM judges.

Open Source

Input and output security scanners for LLM applications

LLM Guard is an open-source security toolkit by Protect AI that provides 15 input scanners and 20 output scanners to protect LLM applications from prompt injection, PII leakage, toxic content, secrets exposure, and data exfiltration. Each scanner is modular and independent — pick the ones you need, configure thresholds, and chain them into a pipeline. The library works with any LLM and has been downloaded over 2.5 million times. MIT licensed, Python 3.9+.

freeOpen Source

Security scanner for AI agentic workflows and MCP servers

Agentic Radar is an open-source CLI security scanner that maps attack surfaces in agentic AI workflows. It detects MCP servers, visualizes agent tool chains, and validates against OWASP LLM Top 10 vulnerabilities including prompt injection and excessive agency. Supports scanning CrewAI, LangGraph, AutoGen, and Semantic Kernel pipelines. Built by SPLX AI with active development and MCP-specific detection capabilities added for the growing MCP ecosystem.

Open Source

Google's vulnerability scanner using the OSV database

OSV-Scanner is Google's official open-source vulnerability scanner that checks your project's dependencies against the OSV.dev database — the largest open vulnerability database covering all major ecosystems. Written in Go, it supports lockfiles from npm, pip, Maven, Cargo, Go modules, and more, providing actionable remediation guidance and CI/CD integration for automated security scanning.

Open Source

Side-by-Side Comparisons

Shannon logo
Shannon
vs
garak logo
garak

Shannon vs Garak — AI Penetration Tester vs LLM Vulnerability Scanner

Shannon and Garak both address AI security but from completely different angles. Shannon is an autonomous pentester that attacks web applications and APIs to find real vulnerabilities, while Garak probes LLM models themselves for prompt injection, jailbreaks, and alignment failures. They are complementary tools targeting different layers of the AI application stack.

Shannongarak

Community experience

Sources & verification

Sources checked
Content verified

Verification dates are editorial checks. Routine CMS saves and automatic updatedAt timestamps do not advance them.

FAQ

What is Shannon?

Shannon is an autonomous white-box AI pentesting tool for web applications and APIs. It analyzes authorized source code, identifies attack vectors, attempts proof-by-exploitation, and produces remediation-ready reports. Shannon Lite is AGPL-3.0 for local use, while Shannon Pro is the commercial Keygraph platform for continuous security testing.

Is Shannon free?

Shannon offers a free tier alongside paid plans. 100% open-source and free autonomous AI penetration testing agent developed by Keygraph ($0 software license fee). Self-hosted via Docker with support for automated CI/CD security pipelines. Scan costs depend on user-provided LLM API token consumption (typically $10 to $50 per comprehensive full-application test run depending on code complexity). Commercial licensing and enterprise support are available directly from Keygraph.

Is Shannon open source?

Yes — Shannon is open source.

Is Shannon still maintained?

Yes — Shannon is active. Its listing was last verified on September 6, 2026.

What are the best Shannon alternatives?

The first editor-selected Shannon alternatives are garak, Guardrails AI, LLM Guard, and more.

How does Shannon score in our review?

The published editorial review lists Shannon at 84/100 overall across speed, privacy, and developer experience. Check the review's evidence status and test metadata for its verification level.