Shannon is an AI-based penetration testing tool designed to identify and exploit vulnerabilities in web applications before malicious actors can. It operates as a white-box pentester, meaning it requires access to the application's source code. Shannon autonomously scans for attack vectors and executes real exploits like injection attacks and authentication bypass, providing concrete proof of vulnerabilities. This addresses a significant gap in security testing, as traditional penetration tests often occur annually, leaving applications vulnerable for most of the year. The tool integrates seamlessly into development workflows, allowing teams to run tests with a simple command. It generates detailed reports that highlight proven vulnerabilities, complete with proof-of-concept examples to eliminate false positives. Shannon covers critical vulnerabilities according to OWASP standards, including injection flaws and broken authentication. Its architecture leverages existing security tools for thorough analysis, and it uses parallel processing to deliver faster results. Shannon is available in two editions: Lite and Pro. The Lite version is open-source and suitable for security teams and independent researchers, while the Pro version targets enterprises needing advanced features and support. The Pro edition includes additional capabilities like an LLM-powered data flow analysis engine for deeper insights. Setup involves cloning the repository, configuring credentials, and running tests, with specific instructions for handling Docker environments. The emphasis on automated, ongoing security testing positions Shannon as a valuable asset for teams continuously deploying code.