The document outlines a specialized security testing solution designed for AI agents and website AI chats. It tests various scenarios like direct prompts, browser agents, tool use, and more. The product features a guided web console, a Python CLI, and emphasizes a controlled, authorization-first workflow. It generates reports in Markdown, HTML, and JSON formats and maintains a SQLite run history. The system includes reusable configurations, attack packs, and deployment materials, featuring a modern frontend and Python backend intended for straightforward transition to the buyer. The solution helps users, primarily developers and security teams, ensure that AI-enabled products function within intended boundaries when engaging with untrusted prompts. The workflow involves setting up targets, selecting test coverages, and reviewing and authorizing scopes before execution. The product offers a comprehensive marketing site, account flows, management tools, curated tests, report generation, and documentation for deployment and security. The target clientele ranges from AI developers and agencies to SaaS teams and security consultants, with demand increasing as AI access to external data grows. Future growth opportunities include hosted plans, collaboration features, premium libraries, and integration partnerships. Financial performance is dependent on verified figures, and the asset is a developed AI-security product ready for commercialization. InstructFence merges AI adoption with cybersecurity, accommodating businesses needing to defend against prompt injection issues. Its structured workflows, authorization controls, and insightful reports enhance security testing accessibility. A new owner could further develop this foundation for broader market integration or expansion into existing cybersecurity ventures.