Security for agents that act, not just respond
AI agents are receiving tools and privileges that traditional security was never designed to govern. Neuorix is building HSecure - a local runtime layer for agent actions.
The Problem
AI agents are increasingly given tools and privileges - file access, command execution, API calls, MCP integrations. Existing security tooling was not built to govern individual agent actions at runtime.
The Wedge
HSecure starts with local runtime policy evaluation for smaller teams building with tool-using agents. Policy and evidence stay on the machine where the agent runs.
Expansion Path
Planned growth covers additional agent frameworks, enterprise integrations, and approved cyber-physical interfaces - each added through explicit, tested integrations rather than broad claims.
Current Stage
Technical preview, built on real signals
HSecure is in technical preview. We are working with early design partners to validate runtime policy evaluation in real agent environments. We will not claim traction we have not earned.
Pilots
TBD
Benchmarks
TBD
Case studies
TBD
All evidence pending real-world validation through the technical preview program.