Matrixsecurity provides a security platform that monitors and controls AI agents operating within enterprise environments. By tracking semantic intent, causal lineage, and root attribution across multi‑step, session‑aware actions, it detects drift and enforces policies in real time, preventing unauthorized access and data exfiltration that traditional static allow/deny lists miss.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise AI agents now perform multi‑step actions across APIs, tools, and services, but existing security controls—static allow/deny lists and perimeter firewalls—cannot track the agents’ evolving intent, context, or identity throughout a session. This leads to unchecked drift, unauthorized access, and difficulty attributing responsibility for actions taken by autonomous agents.
Solution
Matrixsecurity provides a stateful, session‑aware security platform that continuously evaluates each step of an AI agent’s workflow. By interpreting the semantic intent of requests, tracing causal lineage across prior actions, and binding every operation to the originating identity and entitlements, the system enforces dynamic policies in real time. When a deviation or drift is detected, the platform blocks the operation before execution, ensuring that access remains within defined bounds without requiring manual rule updates. The architecture integrates with existing API gateways and toolchains, delivering continuous, context‑aware authorization for agentic processes.
Target Audience
Primary customers are enterprises deploying autonomous AI agents that interact with internal APIs, SaaS tools, and data services, as well as security teams responsible for safeguarding agent‑driven workflows.
Features
- Real‑time evaluation of every tool call within an agent’s session, replacing static perimeter rules
- Semantic intent analysis that distinguishes legitimate actions from superficially similar requests
- Causal lineage tracking that links each operation to its originating prompt and prior steps
- Root attribution that maintains accountability across handoffs, scope changes, and multi‑agent delegations
- Dynamic policy engine that adapts automatically to new behaviors without manual rewrites
- Pre‑execution blocking of unauthorized actions, ensuring protection at machine speed