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.
