Agent-native enterprise security and access-control layer
Build a security layer for organizations deploying AI agents that monitors authentications and API activity, detects swarm-like behavior, and applies granular permissions to internal systems.
From a16z — Why AI’s Next Breakthroughs Could Come from Outside the Big Labs at 00:32
Problem: Human-oriented security models assume that most employees behave correctly and that malicious access is relatively rare. Agent swarms can operate continuously, at enormous scale, and mistakenly perform harmful tasks, creating denial-of-service and data-security risks across internal systems.
For: Enterprises running AI agents across internal APIs, services, files, software systems, and business tools.
Examples
- Internal GitHub, Slack, and finance expense tools are named as ordinary enterprise systems that could be exposed to swarm-like denial-of-service behavior.