DefendAI provides an enterprise‑grade control plane that discovers, inventories, and assigns identities to autonomous AI agents across cloud, on‑premises, and SaaS environments.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises lack visibility and control over autonomous AI agents that can act independently, access APIs, and make decisions without oversight, leading to blind spots, compliance gaps, and potential rogue behavior.
Solution
DefendAI offers an enterprise-grade AgentOps control plane that discovers, inventories, and assigns identities to AI agents across cloud, on‑premises, and SaaS environments. Real‑time monitoring provides comprehensive audit trails of agent actions, while a context‑aware policy engine (AgentGuard) enforces granular, zero‑trust guardrails on every request. Anomaly detection (ContainIQ) identifies behavioral drift and can automatically contain or kill rogue agents. The platform integrates with existing identity providers and supports policy, audit, and risk scoring across the full agent lifecycle, enabling organizations to govern and mitigate AI‑driven risks before they materialize.
Target Audience
Primary customers are large enterprises deploying autonomous AI agents in critical workloads, including sectors such as finance, healthcare, and IT operations, as well as security teams responsible for AI governance.
Features
- AgentDiscover auto‑discovers agents via code analysis, network monitoring, and eBPF‑based Kubernetes visibility, creating a unified registry with metadata, ownership, and risk scores
- AgentGuard inline policy engine applies fine‑grained, context‑aware rules to control API, tool, and data access for each agent in real time
- ContainIQ runtime anomaly detection and infra‑level kill switch to halt rogue or misbehaving agents automatically
- PromptShield protects against prompt injection attacks at execution time
- AgentWatch provides end‑to‑end session tracing and decision audit logs for forensic analysis and compliance reporting
- VectorVault secures internal retrieval‑augmented generation (RAG) pipelines and embedding stores
- Integration with enterprise identity providers (Okta, Azure AD) to issue scoped, short‑lived credentials for agents