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Secure every prompt,agent and tool call.

Agentic endpoint security. Inspection on the device, before the request leaves it

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The Stack /

Three things security teams can't do in the AI era.

Three capabilities. One foundation.

01VISIBILITY

See everything. No visibility into the AI tools your team uses. Blind spots breed more shadow AI — and every other layer starts from what you can see.

02DETECTION

Know instantly. No way to detect security events across an AI workforce. Secrets, PII and prompt injection pass through unseen.

03RESPONSE

Act decisively. When something slips through, there is no way to respond — no investigation timeline, no device isolation, no alert.

04GOVERNANCE

The foundation layer. Approved apps run without uniform governance. Nothing enforces the standard — this is the foundation the other three layers stand on.

Detection & Response /

See it. Catch it.
Stop it.

01

Observe

See everything. Every AI tool, prompt and MCP server across the fleet.

Shadow AI discovery · Prompt timeline · MCP inventory

Shadow AI dashboard: discovered AI apps with category, risk and device counts
02

Detect

Catch security events the moment they happen inside AI apps.

Secrets & PII · Prompt injection · Policy violations

Explorer view with event filters and a prompt expanded into API calls and file reads
03

Respond

A place for responders to investigate, then isolate a device in one click.

Investigation timeline · Device isolation · SIEM alerts

AI Governance /

Set the rules. Enforce them everywhere.

Write one policy. The sensor enforces it on the device, before traffic ever leaves.

Central policy engine

One policy across every LLM, agent, and integration.

On-device enforcement

Inline inspection with sub-30ms overhead. No cloud detour.

Compliance & audit

Every decision logged and exportable for SOC 2 and ISO 27001.

Instant alerting

Know the moment a guardrail triggers, and why.

Guardrails policy screen: the no-secrets-in-input rule enabled in Mask mode, with example credentials it catches and per-pattern toggles
Framework alignment /

Mapped to the standards your reviewers already ask for.

MITRE ATLAS v2026.06
36 / 42in-scope techniques with a guardrail

All 103 ATLAS techniques are curated as either visible in endpoint AI traffic or out of plane, with a written reason. The 42 in scope map to the rule catalog technique by technique; coverage is scored conservatively, and gaps stay visible rather than getting a fig-leaf rule.

OWASP Top 10 for LLM Apps 2025
8 / 10categories addressed by the catalog

The same 27-rule catalog maps onto the OWASP LLM Top 10 — prompt injection, sensitive information disclosure, excessive agency and the rest. Training-data poisoning and unbounded consumption are called out as not-yet-covered instead of claimed.

Coverage is scored per organisation from the policies you actually have enabled — a live heat map in the console, not a badge on a slide. Every decision is logged and exportable for SOC 2 and ISO 27001 evidence.

The Sensor /

One featherweight sensor.
The whole fleet.

Deployed in minutes through your MDM. Invisible to your team.

Deploys in minutes

Ship through MDM; protecting the fleet the same day. No gateway, no re-architecture.

Light enough to forget

Sub-30ms overhead, no proxy, no browser extension. Your team won't notice it.

Every AI tool

ChatGPT, Claude, Gemini, Copilot, Cursor, any MCP server. Out of the box.

AI-powered triage

Risky activity ranked for you. Analysts chase real leaks, not noise.

Demo /

See it on your own fleet.

A working sensor on your machines, showing every AI tool and agent in use and what is leaving the device.