Agent red teaming
Identify vulnerabilities across complete agentic workflows before production.
Security for agentic applications
Secure Your
Intelligence.
Discover, govern, and control AI agents across employee endpoints, SaaS platforms, and the applications you build.
What is dwaar.ai?
Security and governance for every AI agent.
dwaar.ai discovers agents across employee endpoints, SaaS platforms, and your applications. Identify vulnerabilities through red teaming, build policies tailored to your organisation, enforce controls, and audit policy violations from one central platform.
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 using deterministic and LLM based guardrails.
Intent based access
Give access to your tools and MCP only when your agent's intent is correct.
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