Quint launches OS-level behavioral security platform for AI agents with real-time enforcement and Ed25519-signed audit trails

Quint intercepts agent actions at the OS level (syscalls, file access, process spawns, network connections) rather than API calls alone, capturing both declared intent and actual execution with <10ms scoring latency.

The platform deploys via MDM (Jamf, Intune, Kandji) with zero code changes, learns six baselines (per-agent, per-machine, per-user, per-team, per-enterprise, and global) using a graph neural network, and enforces decisions (block, flag, allow) as Ed25519-signed entries in a tamper-proof audit chain.

Every agent action is scored against sixteen compliance frameworks in real time, including EU AI Act requirements (fines up to 7% of global revenue beginning August 2026), with continuous control monitoring and automated evidence collection for SOC 2, GDPR, and other standards.