Agent red teaming
Identify vulnerabilities across complete agentic workflows before production.
Security for agentic applications
Secure Your
Intelligence.
World's first self-healing security platform for agentic applications. Find vulnerabilities before deployment and resolve risk autonomously at runtime.
What is Dwaar.AI?
Dwaar.AI is an
AI agent security platform.
Dwaar.AI helps teams red-team agentic applications before deployment, convert findings into enforceable policies, and protect prompts, tools, MCP servers, retrieval systems, and autonomous workflows at runtime.
The problem
Traditional security does not understand agentic risk.
Agentic applications are non-deterministic. Their prompts, decisions, tools, and data flows broaden the attack surface far beyond conventional software security.
Agentic APP Probabilistic
The Dwaar lifecycle
Observe. Understand. Intervene.
Agentic applications need runtime security. Dwaar understands AI vulnerabilities, writes robust policies, and acts autonomously to keep applications secure.
Policy framework
Apply organization-wide controls and agent-specific policy boundaries.
Deterministic + AI judges
Combine hard rules with contextual judges for reliable security decisions.
Real-time action
Guide the self-healing platform to intervene based on live vulnerability context.
Trusted by and supported by 
Free posture assessment
Understand your Agent Security Posture.
Get an Agent Security Posture Management report and know where your AI agent is vulnerable.
What you need to get started
View Sample Report ↓ - 1An agent endpoint - HTTPS, WebSocket, or equivalent
- 2Agent context - system prompt or application documentation