Denied
denied.dev provides a behavioral authorization layer for AI agents, adding a third security control beyond isolation and identity. The platform inspects the actual content of tool calls at runtime, before they leave the host, to block actions that violate policy. This catches threats like data exfiltration where an agent references another client's project in a message.
- Artificial Intelligence
- AI Agents
- Cybersecurity
- Developer Tools
- Software Only
Funding
Founders
Product
Problem
Traditional AI agent security relies on isolation to bound where an agent runs and identity to bound what it can reach, but neither reads the action itself—the content, recipient, or timing of a tool call. This leaves a gap where a compromised or misbehaving agent can pass both checks while performing harmful actions, such as sending sensitive data to unintended recipients.
Solution
denied.dev introduces behavioral authorization as a third security layer that inspects what an agent actually does at runtime, before the tool call leaves the host. The platform evaluates the action's content, recipient, and timing against policy, blocking unauthorized behavior in real time. This approach catches threats that isolation and identity miss, such as an agent quoting a project belonging to another client in a status message. By reading the action itself, denied.dev provides a more complete security stack for non-deterministic AI agents.
Target Audience
Security teams and platform engineers building or deploying AI agents that require fine-grained control over agent actions beyond traditional isolation and identity boundaries.
Features
- Runtime behavioral authorization that inspects tool-call content, recipient, and timing before execution
- Complements existing isolation and identity controls to form a three-layer security stack
- Designed for non-deterministic AI agents where outputs cannot be predicted in advance
- Policy enforcement at the host level, preventing unauthorized actions from leaving the system