Lasso Agentic AI Security is a platform designed to protect AI agents, chatbots, and copilots from adversarial attacks and security risks. It unifies red and blue teaming into a continuous, autonomous protection loop, enabling organizations to test, detect, and defend their AI workforce at scale. The platform addresses threats specific to agentic AI ecosystems, including prompt injection, memory poisoning, and data exfiltration. It provides configurable attack simulations to test AI resilience against real-world threats, delivers automated security results, and closes agentic security gaps across testing, detection, prevention, and response in a single unified solution. Lasso also includes GenAI guardrails that monitor and detect potentially harmful interactions across in-house and user-facing GenAI applications, as well as AI security testing that proactively scans LLMs by simulating real-world attacks to uncover hidden vulnerabilities. The platform targets governance gaps in multi-agent ecosystems by helping organizations monitor agent actions, enforce least-privilege access, and maintain real-time control. An open-source security gateway for MCP (Model Context Protocol) is also available on GitHub.