Real controls at the browser. Real evidence in the platform.
Public AI tools are the largest unmanaged endpoint you own. Governance 1st gives you technical safeguards where prompts actually happen, a discoverable inventory of shadow AI use, and an evidence trail that maps cleanly to NIST AI RMF, SOC 2, ISO 42001, and your existing control library.
Three tools that give AI risk the same rigor as the rest of your control environment.
Governance 1st
Risk register, control library, evidence collection, monitoring evaluators. NIST AI RMF-aligned, exportable to your GRC of record. The AI equivalent of the SOC 2 workspace you already run.
Browser Extension
Point-of-use controls on every public AI chat tool. Blocks sensitive-data prompts before they leave the browser, redacts what needs redacting, and produces per-event audit logs and daily aggregate counters. Shadow AI detection, not just monitoring.
Policy FastTrack
Enforceable policy where every clause maps to a control. Attestation, exceptions, and remediation workflows plug into the same evidence trail your risk register does.
Not another dashboard. Real controls, evidence, and monitoring.
Governance 1st is designed to plug into an existing security program, not replace it. It holds the AI-specific risk register, use-case inventory, control library, exceptions, monitoring evaluators, and evidence trail, and it exports cleanly to the GRC / SOC 2 / ISO 42001 workspace your team already runs.
Probability × impact on every AI use case
Use cases are cataloged and scored on a 3×3 matrix. Risk-tier drives approval routing through the committee — high-risk use cases don't ship without evidence.
Proportionate controls, not blanket ones
Human review, guardrails, filters, vendor terms, and logging are applied per use-case tier. Every applied control has an owner, a cadence, and an evidence expectation.
Ten behavior evaluators running on every model call
Hallucination, bias, jailbreak, PII, and seven more categories, backed by 200 underlying guardrails (20 per category). Failure modes are flagged as they happen, not discovered in an audit.
Evidence exports for the frameworks you already run
NIST AI RMF (Govern / Map / Measure / Manage), ISO 42001, SOC 2, HIPAA, EU AI Act obligations, mapped in the platform. Export the evidence package cross-referenced to your framework of choice.
The point-of-use control layer you don't have today.
Every DLP and CASB tool sees the network. The Browser Extension sees the prompt. Deployed via Chrome Enterprise / Workspace / Intune managed configuration, it runs local scans against a configurable pattern library and blocks, redacts, or warns on sensitive prompts before they leave the endpoint. Zero data goes anywhere the user didn't explicitly send it.
Prompt-level DLP
Regex + semantic patterns for PII, PHI, source code, credentials, MRNs, internal URLs. Enforcement mode (block / redact / warn) is configurable per category, per team.
Shadow AI detection
Discovers which AI tools your workforce is actually using. Categorizes by data-sensitivity risk. Feeds the Shadow AI Usage Assessment lens of the audit.
Audit-ready telemetry
Per-event compliance log: which filter fired, at what severity, on which AI tool, at what timestamp. Never the matched content itself, only that the filter fired. Auditable without exfiltrating user data.
Policy that maps to enforcement, not just to a repository.
A policy the workforce can't operate under is worse than no policy in an audit. Policy FastTrack generates the AI policy suite with each clause tagged to the platform control that enforces it, the training module that teaches it, and the committee approval workflow that governs exceptions.
Every clause has an enforcement path
"Employees must not paste customer PII into public AI tools" is linked to the Browser Extension PII filter, the attestation record, and the exception workflow. Auditor asks how you enforce it — you show them.
GDPR / HIPAA / state privacy laws / EU AI Act clauses
Named jurisdictions produce named policy variants, so a global workforce isn't operating under one policy that satisfies no regulator.
Bring AI under your control environment.
30-minute technical brief: your existing GRC stack, jurisdictions, and the AI use cases keeping you up at night. We walk through what the control library and evidence exports would look like for your org.