Your AI agents are
Quint intercepts every AI agent action at the OS level — visibility, risk scoring, and policy enforcement. No code changes. No developer friction.
Works with every AI agent
Quint detects agents automatically — no configuration required.
See Quint in action.
We're onboarding design partners for Q2 2026. Deploy AI agents and need visibility?
Become a design partnerIntent vs. Truth. That's the Signal.
Two independent layers capture what agents claim and what they actually do. The divergence between them is how Quint detects threats no one else can see.
One Command Install
Deploy token from the dashboard, one curl command. Single Go binary starts the TLS proxy and endpoint sensor immediately. No agent config. No code changes.
Two Layers Capture Everything
The proxy intercepts agent intent — tool calls, API requests, prompts. The EndpointSecurity sensor captures ground truth — file I/O, process exec, network connections, syscalls.
Divergence Detection
Quint correlates intent vs. truth in real time. When an agent says it’s reading a config but actually touches ~/.ssh/id_rsa — that gap is the signal. No other product sees this.
Enforce & Audit
Block, flag, or allow based on divergence scores and custom policies. Every decision is Ed25519-signed into a tamper-proof audit trail.
Two layers. One truth.
The proxy captures intent. The endpoint sensor captures truth. Quint correlates both to detect divergence — the gap between what agents claim and what they do.
The proxy captures intent. The endpoint sensor captures truth. Quint correlates both to detect divergence — without touching agent code.
Everything you need to secure AI agents.
Endpoint-level interception, real-time scoring, policy enforcement, compliance evaluation, fleet management, and a tamper-proof audit trail — from a single daemon.
See every agent and every action
All major agent platforms detected automatically through multiple independent signals. Every MCP tool call captured in real time — file reads, API calls, bash commands — enriched with risk scores and compliance analysis.
Know every agent on your network
Six-layer detection stack identifies 20+ AI agent platforms through independent signals — from code signing and process inspection to HTTP headers, system prompt fingerprinting, user-agent patterns, and protocol analysis. Discovers shadow AI, sub-agents, and retroactively reclassifies unknown requests as richer signals arrive.
Score in real time. Enforce at the edge.
Multi-layer composite scoring evaluated against a proprietary compliance engine covering 16 frameworks. Block, flag, or allow fleet-wide with <10ms edge enforcement.
Declarative rules, fleet-wide control
Define policies in the dashboard or describe what you want in natural language — AI-powered policy creation (Claude Sonnet) generates structured enforcement rules from plain English. Match on agent type, tool name, target path, risk score, or time windows. Policies push on heartbeat. Strictest verdict wins.
Tamper-proof evidence, 16 frameworks
Ed25519-signed, SHA-256 hash chain for every action. Exportable proof bundles for auditors. Continuous evaluation against SOC 2, GDPR, EU AI Act, HIPAA, and 12 more frameworks.
Every machine. Your existing stack.
Centralized control plane with machine inventory, health monitoring, and agent census. OCSF-formatted event schema ready for SIEM integration. Splunk, Sentinel, Chronicle, Slack, and PagerDuty connectors coming soon. Full REST API.
16 frameworks. Continuous evaluation.
Every agent action scored against a proprietary compliance engine covering 16 regulatory frameworks — in real time. EU AI Act enforcement begins August 2, 2026.
Divergence-powered risk scoring. Per agent, in real time.
Quint builds a behavioral profile for every agent individually. When an agent says it's reading a config file via MCP, but the OS sees it accessing ~/.ssh/id_rsa — that divergence is scored instantly.
Scoring is deterministic by default. No LLM in the critical path. No hallucination risk in your security layer.
Multi-Layer Scoring Pipeline
Every action scored by verb, target sensitivity, and scope against Quint’s canonical taxonomy. No LLM in the loop — deterministic classification, zero hallucination risk.
Quint builds a behavioral fingerprint for each agent individually. Claude Code touching the network is normal. Claude Code spawning a reverse shell is not. The baseline knows the difference.
Maps every action against SOC 2, GDPR, EU AI Act, HIPAA, and 12 more frameworks. Your compliance posture, applied to agent behavior automatically.
Detects what static rules miss — action velocity spikes, unusual operation sequences, and agents active outside normal windows.
Frequently Asked Questions
Secure your agents.
Ship with confidence.
One install. Every agent. Deploy in under 2 minutes. Free for your first two machines.