Aurva
Aurva provides a runtime security layer specifically designed for agentic AI architectures and LLM-driven workflows. It monitors granular data access patterns of AI agents, detects behavioral anomalies that signify prompt injection or agent hijacking, and enforces real-time compliance controls. The platform complements existing WAFs and API security tools by providing visibility into the internal logic and data orchestration of autonomous agents.
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The Picari read
Aurva uses eBPF telemetry to trace prompts, model calls, retrieval steps, and agent actions in Kubernetes-based AI workloads. Its main differentiator is identity-aware runtime attribution, which ties each AI action to a human, service, or agent for investigation and control. It fits teams securing internal LLM apps and agentic workflows.
- Organizations deploying AI agents and LLM-driven workflows that require specialized runtime security beyond traditional WAF and API security.
- Protecting LLM-driven applications from prompt injection attacks.
- Monitoring data access and usage by autonomous AI agents.
- Enforcing compliance for sensitive data handled by AI workflows.
- Detecting and responding to agent hijacking attempts.
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Aurva pricing and integrations
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Are you from Aurva? Verify this profileProfile last updated on 6 September 2026 by Picari.