VulnZap is an AI-powered security platform designed to safeguard code generated by AI agents in real-time, ensuring that vulnerabilities are identified and patched before deployment. As AI agents increasingly contribute to codebases, VulnZap acts as an invisible infrastructure layer that validates and secures their output, maintaining high development velocity while minimizing security risks. Key Features and Functionality: - Real-Time Vulnerability Detection: Monitors code generated by AI agents, identifying and addressing critical vulnerabilities as they arise. - Integration with Development Tools: Seamlessly connects with popular IDEs and development environments, including VS Code and JetBrains, to provide continuous security analysis. - Faraday 2.0 Engine: Utilizes a sophisticated security engine that coordinates specialized LLM workers to perform context validation, risk scoring, and remediation, effectively reducing false positives and providing accurate vulnerability assessments. - SDK for Agent Builders: Offers an SDK that allows developers to embed security checks directly into their AI agents, ensuring that generated code is validated and sanitized within the generation loop. - Platform for Development Teams: Provides a comprehensive platform that connects with agentic IDEs and repositories, enabling real-time code validation through multiple integration points such as MCP, CLI, or a dedicated dashboard. Primary Value and Problem Solved: VulnZap addresses the critical challenge of securing AI-generated code, which often contains vulnerabilities due to the non-deterministic nature of large language models and the potential for context blindness. By implementing real-time validation and patching mechanisms, VulnZap ensures that development teams can leverage the speed and efficiency of AI agents without compromising on security. This proactive approach mitigates risks associated with supply chain attacks and deprecated dependencies, providing developers with the confidence to deploy AI-assisted code safely and efficiently.