Platform · Enforcement at the endpoint

Endpoint Security for enterprise AI

Name: Endpoint Security
Brand: First Recon AI

Endpoint Security secures AI use on managed macOS and Windows devices, including AI tools the enterprise does not own or host. It enforces policy before the prompt reaches the model's API.

Contact Sales

30-day free trial

Endpoint Security

Fleet-wide visibilitySee every AI interaction on your macOS and Windows fleet: who or what is acting, what data, which tool.
AI you do not ownFull visibility into unsanctioned AI use across the fleet: tools the enterprise does not own or host, governed by the same policy as sanctioned AI.
Enforcement at the endpointThe agent allows, redacts, blocks, or holds for human review before data reaches a model.
Semantic SecurityThe Semantic Security Engine™ judges interactions by meaning and intent, drawing on the Security Context Graph™, so threat and sensitive-data detection grows more accurate as your organization uses AI and connects its data.
Audit-ready evidenceEvery decision streams to your SIEM, so you answer for AI on devices with evidence instead of assurances.
Coverage in daysDeploys through the MDM your team already runs: no new infrastructure, no network changes.

Enforcement happens where AI is used

Secured at the source

The agent inspects prompts, pastes, and uploads as they happen and enforces the decision at the endpoint: allow, redact, block, or hold for human review, before the prompt reaches the model's API.

The AI you do not own

Coverage includes AI tools the enterprise does not own or host. Chat apps, code assistants, and personal AI sites in the browser, the tools your teams already reached for, are secured and governed on the same policy surface as sanctioned AI.

A familiar rollout

Deploy Endpoint Security through the MDM your fleet already runs. Coverage in days, with no new infrastructure or network changes.

AI Security Runtime™ runs at the endpoint

The agent is AI Security Runtime™ running at the endpoint: every AI interaction it sees, human or agent, runs the same four functions on the way to the model.

OBSERVE	Every AI interaction at the endpoint: who or what is acting, what data, which tool
DETECT	Threats, sensitive data, and policy violations judged by meaning and intent, in real time
ENFORCE	Allow, redact, block, or hold for human review, before the prompt reaches the model's API
TRACE	Audit-ready evidence for every decision, streamed to your SIEM

Observability, enforcement, remediation

Policy is written against named AI services and enforced at the endpoint. Enforcement decisions are recorded as signed receipts that name the decision, what decided it, and the policy revision it ran under.

What you see

A fleet-wide inventory of AI in use: the named service, the app that opened the connection, the device, and the acting user. Telemetry is limited to AI activity and enforcement decisions.

What it enforces

Allow, warn, block, and monitor rules, scoped to a named service, a provider, or a department and enforced directly on macOS and Windows. Protected AI flows that cannot be verified fail closed.

What happens next

A discovered service moves from monitored to warned to blocked, or is sanctioned for a named team. For tools you retire, the Secure Enterprise AI Workspace is the governed alternative.

ALLOWLIST	Sanction a named AI service for one department or the whole fleet. Allow GitHub Copilot for Engineering is a single rule.
BLOCK	Drop the connection at the endpoint, before data reaches a model. Scope it to one named service, a provider, or all unsanctioned AI.
WARN	Let the flow proceed with a recorded warning decision. User overrides become part of the evidence trail.
MONITOR	Log-only visibility with no user impact. New deployments start here; turning on enforcement is a per-rule decision.
DEFAULT	When no rule matches, the tenant default decides: allow, warn, block, or monitor. For unmatched traffic, the posture is yours to set.
RECEIPTS	Every enforcement decision is written as a signed receipt carrying the decision, the deciding rule or default, and the policy revision it ran under. Sealed, metadata-only evidence.

Every endpoint decision lands in the console

Enforcement on devices feeds the console: live security posture, blocked threats, and policy violations. Every decision is recorded as audit-ready evidence for an auditor, the board, or a regulator.

First Recon AI · Admin Console

Security dashboard: threats blocked today, security alerts, auth events, policy violations, and security events over time, fed by runtime decisions including those from Endpoint Security

Secure every
AI interaction.

Contact Sales Or read how the runtime works