Armor is an AI security layer designed to protect LLM-powered applications, AI agents, and GenAI workflows from real-time threats. It detects and blocks prompt injection attacks, jailbreak attempts, and unsafe model behavior while preventing sensitive data leakage such as PII, PHI, and confidential business data. Armor operates at runtime, inspecting prompts, responses, and tool interactions before they reach users or external systems. Built for developers and security teams, Armor adds guardrails to AI applications by enforcing policies across inputs, outputs, and agent actions. It also secures RAG pipelines, prevents data poisoning, and controls tool access within AI workflows. With lightweight integration and low latency, Armor enables teams to build and scale AI applications securely without slowing down performance or development velocity.