Protected by the 3S framework
Observe, understand, and intervene across every request flowing through your agentic application.
Explore more →dFence is a runtime AI guardrails platform for agentic applications. It observes every request, understands policy defiance, and intervenes with the right action when prompts, tools, data, or agent behavior become unsafe.
Observe, understand, and intervene across every request flowing through your agentic application.
Explore more →Allow tools and MCP calls only when the live action matches the agent's declared happy path.
Explore more →Translate vulnerabilities and business boundaries into enforceable policies for complete security coverage.
Explore more →dFence creates a closed decision loop around every agent request, from raw telemetry to autonomous action.
Traditional access control asks whether a credential is allowed to call a tool. Agentic systems need one more question: does this specific action match the intended purpose of the interaction? dFence evaluates intent before sensitive tool and MCP calls, so an agent cannot use valid access for the wrong reason.
Define what the agent is supposed to do in a workflow, including allowed goals, data boundaries, tools, and approval points.
dFence compares the live request, context, tool choice, MCP call, and action parameters against the expected intent.
Trusted low-risk calls can proceed. Untrusted, sensitive, or mismatched actions are blocked, constrained, redacted, or sent for approval.
dFence does not rely only on static scopes. It enforces the reason behind the action.
Use more than 100 checks with policies deployed as enforcers or observers based on criticality—avoiding heavy, one-size-fits-all guardrails.
Get a demo →Maintain audit trails for every request and map findings against OWASP Top 10 for LLMs, MITRE ATLAS, NIST, the EU AI Act, and more.
Continuously red-team before deployment, convert findings into policies, and safeguard agentic applications at runtime.