Defend AI is Straiker's runtime security layer, built to protect AI agents in production. At its core is the Straiker AI Engine — trained on frontier lab agentic datasets and millions of synthetic data points, continuously refined through an RLHF loop. It delivers greater than 98% accuracy at under 300ms latency. Defend AI uses a multi-layer approach. Rather than inspecting only user prompts, it monitors threats across every layer of the agentic stack: the agentic application, agent orchestrator, models, MCP/tools, and data. Defend AI protects against agentic threats including: prompt injection, harmful content, data leakage, tool misuse, resource exhaustion, data exfiltration, and remote code execution. A context and behavioral engine overlays user and network signals onto detections, with enterprise context ensuring policies reflect each organization's risk posture. Coverage spans coding agents like Cursor and GitHub Copilot, productivity agents like Microsoft Copilot and Google Workspace, and custom-built agents on frameworks like LangChain and AutoGen. Multi-modal support provides consistent protection across text, PDFs, Office documents, and mixed-content interactions. Deployment is available via API, SDK, log forwarder, or AI sensor — one line of code, no refactoring required.