Defend AI from Straiker delivers runtime security for agentic AI applications with fast, context-aware guardrails. It inspects every prompt, reasoning step, and tool call to stop prompt injection, data leaks, and agent manipulation in real time—adapting continuously without code changes or performance trade-offs. Use cases: -Real-time guardrails for agentic applications, preventing data leakage, hallucinations, tool abuse, RCE patterns, and prompt injection. -Protection and guardrails for real-time and streaming agentic apps. -Enterprise-wide enforcement of AI safety, security, and compliance across multiple apps and teams. -Global low-latency deployments, including regional clusters like Seoul for APAC workloads. -Incident response support via downloadable prompts, audit logs, and full conversational traces. Features: -Comprehensive guardrails for security, safety, grounding, tool manipulation, MCP exploitation, and malicious user behavior. -Fast, fine-tuned detection engine with sub-second latency and frontier-beating accuracy. -Privacy-preserving guardrails with isolated data paths and federated-learning options. -Multi-modal detection support and multilingual coverage for global teams. -Inline blocking, response shaping, sanitization, and developer-controlled enforcement via API/SDK, eBPF Sensor, AI Gateway, or Proxy. Benefits: -Stop harmful or insecure AI behavior instantly without degrading user experience. -Maintain strict compliance and data protection standards with real-time enforcement. -Reduce workload on SecOps through high-accuracy detections that avoid alert fatigue. -Gain end-to-end visibility into AI decisions, prompts, tool calls, and user interactions. -Build trust in production AI by preventing failures before they impact customers.