$15.8B
AI-governance software spend by 2030
Forrester forecasts the market will more than quadruple from 2024, at a 30% CAGR.
Forrester, 2024 →
The vendor-neutral AI-governance control plane
Know every AI system. Govern every risk. Prove every control.
Govern360 automatically discovers AI usage across your organization, assesses risk in real time, enforces policy where it actually runs, and generates audit-ready evidence for ISO 42001, the EU AI Act, NIST AI RMF, and your internal frameworks.
Or pick a time on our demo availability calendar
SOC 2 architected
ISO 42001
EU AI Act ready
No prompts stored
AI systems discovered
217
Shadow AI
91
Prompts blocked
3,906
Compliance score
78/100
Live policy enforcementLIVE
26 capabilities
Coverage
Nine headline modules · four enforcement planes
5 min
Speed
To first AI inventory · <180ms p95 evaluation
6 frameworks
Breadth
EU AI Act · ISO 42001 · SOC 2 · NIST · HIPAA · GDPR
0 agents
Honesty
SaaS discovery is API-only · browser extension is optional
The clock is running
AI governance isn't a hype cycle. It's a measured market with a deadline.
1 in 5
breaches now involve shadow AI
IBM's 2025 Cost of a Data Breach Report: shadow AI adds USD $670K to the average incident cost.
IBM, 2025 →
Aug 2, 2026
EU AI Act high-risk enforcement begins
Non-compliance penalties reach 3% of global annual turnover (Article 99) — exceeding GDPR's maximum.
EU AI Act, Article 99 →
Enforcement planes
The connective layer — not another tool in the path.
Every other governance product is a point solution: a browser extension, an LLM firewall, a data classifier, or an AI gateway. Each owns one slice. Govern360 is the policy brain that orchestrates the enforcement tools you already own — Microsoft Purview, Microsoft Intune, your SASE vendor, your AI gateway. We compile your intent into native configuration. They enforce. You keep your stack.
Microsoft Purview — governing M365 Copilot
The plane the browser can't reach
Microsoft 365 Copilot runs inside your tenant — no extension can intercept it. Govern360 compiles each group-scoped policy into a Microsoft Purview specification: which built-in Sensitive Information Types to use, which detectors need a custom SIT, a recommended sensitivity label, and the DLP-for-Copilot action — plus a step-by-step Purview portal runbook.
Compiles to: Sensitive Information Types & custom SITs · Sensitivity labels gating Copilot · DLP rules scoped to Microsoft 365 Copilot · Purview portal runbook
Microsoft Intune — endpoint gate
Managed-device prerequisite for AI access
Prompt-level enforcement only holds on a controlled device. Intune gates AI access to managed, compliant devices running the Govern360 extension — compiled into a device compliance policy, configuration profile, and conditional-access intent, with an Intune runbook to apply it.
Compiles to: Compliance policy · Configuration profile · Extension force-install · CA intent
SASE / network
Zscaler · Netskope · Palo Alto · Menlo
Compiles your AI inventory and policies into URL and app-control rules — block shadow-AI domains, allow sanctioned tools, inspect the rest — with vendor-specific runbooks for the major SASE platforms.
Compiles to: URL category lists · App-control rules · Per-vendor portal runbooks
AI gateway
Programmatic LLM enforcement
For programmatic calls from apps, scripts, and agents that never touch a browser, Govern360 compiles policies into a gateway configuration — keyless application identity, rate limits, and DLP applied at the API boundary.
Compiles to: Gateway routing & quotas · Application-identity allowlists · Egress DLP config
How this actually works. Govern360 is the policy authority that compiles intent into native configuration. Your existing platforms — Microsoft Purview, Intune, your SASE vendor, your AI gateway — remain the enforcers. You apply the compiled output (Microsoft's APIs don't expose policy creation for Purview DLP, by design); Govern360 doesn't proxy your traffic or hold standing write access to your security stack.
Every control has an honest status. No green checkmark that fails an audit.
Compiled
Policy translated into a native config artifact — Purview spec, Intune profile, SASE rule, gateway policy.
Marked applied
An admin confirmed they ran the runbook in the enforcement plane's portal.
Verified
A platform API confirms the live config matches what we compiled (Intune via Graph; others where APIs exist).
Anything else shows as Not evidenced — never a false green.
AI tools we govern — not customers we serve
OOpenAI
AAnthropic
MMicrosoft Copilot
GGitHub Copilot
BAWS Bedrock
NNotion AI
Grounded in
NIST AI RMF
OWASP LLM Top 10
MITRE ATLAS
EU AI Act
ISO 42001
SOC 2 Type II
For every stakeholder
One platform. Five executive lenses.
Governance succeeds when the CEO, the board, the CIO, the CISO and the CTO all see the same truth — at the level of detail each needs.
CEO
Reduce AI risk without slowing adoption.
Quantified exposure across every AI system, with a clear path from finding to fix.
BOARD
Demonstrate AI governance to regulators and shareholders.
Continuous evidence mapped to ISO 42001, the EU AI Act, NIST AI RMF and SOC 2.
CIO
Discover every AI tool, agent and model in use.
Shadow AI, sanctioned AI, embedded AI, agentic systems — one inventory, continuously refreshed.
CISO
Prevent data leakage in prompts and AI responses.
30+ detectors, prompt & response DLP, policies enforced where AI actually runs.
CTO
Govern AI agents and models, not just users.
Agent autonomy review, RAG/knowledge-source mapping, supply-chain provenance — built in.
The Problem
Most organizations can't answer five basic questions about their AI.
Until they can, every AI program is operating on instinct, not evidence. Govern360 answers all five — automatically, continuously, in one console.
01
What AI is being used?
Discover every sanctioned tool, every shadow-AI account, every embedded agent, every model. Continuously.
02
What data is reaching the AI?
Inspect every prompt and response for PII, secrets, source code and regulated data — before it leaves your perimeter.
03
Which AI systems create the most risk?
Score each AI system against NIST AI RMF, OWASP LLM Top 10 and MITRE ATLAS — and surface the riskiest sessions and users.
04
Where is policy actually enforced?
Compile your intent into Microsoft Purview, Intune, your SASE, and your AI gateway — with honest evidence of what's live where.
05
Who owns AI governance?
One platform that the CEO, board, CIO, CISO and CTO see together — at the level of detail each one needs.
Why Govern360
Adopt AI at full speed — without flying blind.
Employees adopt new AI tools faster than security can review them. Govern360 closes the gap between what your policy says and what your people actually do — and is honest about which controls are actually enforced, by which plane, against which framework.
Discover
Every AI tool, agent, model, and Copilot — sanctioned, under-review, or shadow — surfaced continuously across SaaS, OAuth, network, and browser signals. No manual inventory.
Assess
Score each AI system against NIST AI RMF, OWASP LLM Top 10, and MITRE ATLAS. Surface the riskiest sessions and users. Map vendor data-handling to your policy.
Govern
Write policy once, scoped to your real org (Entra groups). Govern360 compiles it into native configuration for Microsoft Purview, Intune, your SASE, and your AI gateway.
Remediate
Guided remediation: every finding comes with the exact runbook to apply in the right enforcement plane. Status moves from Compiled → Marked applied → Verified. No false greens.
30+
Built-in data detectors
6
Compliance frameworks mapped
<180ms
p95 prompt evaluation latency
5 min
From connect to first insight
The platform
One platform. The whole AI governance lifecycle.
Discover, protect, enforce, and prove — nine modules sharing one inventory, one policy engine, and one audit trail. Including the one most tools miss: scanning what the AI sends back.
Discovery
AI Inventory & shadow-AI discovery
Every AI tool, agent, and model touching your company — classified as sanctioned, under review, or shadow, with the people and risk behind each one.
- SaaS, OAuth-grant, network, and browser discovery signals
- Per-tool risk scoring and vendor data-handling flags
- Autonomous agent & foundation-model tracking
| Tool | Status | Risk |
|---|---|---|
| ChatGPT Enterprise | Sanctioned | Low |
| Notion AI | Review | Medium |
| ChatGPT (consumer) | Shadow | High |
| Cursor (personal account) | Shadow | High |
| DeepSeek (consumer) | Shadow | Critical |
Protection
Data Shield — prompt data-loss prevention
More than 30 built-in detectors run before any prompt leaves your perimeter, redacting or blocking sensitive data so your people can use AI without leaking secrets.
- PII, secrets, source code, PHI, and custom detectors
- Per-detector choice of redact, block, or warn
- Auto-redaction with false-positive tuning
| Detector | Hits 30d | Action |
|---|---|---|
| AWS access key | 22 | Block |
| SSN (US) | 1,240 | Redact |
| Source code (Python) | 1,820 | Redact |
| Customer ID | 2,480 | Redact |
Enforcement
Policies in plain English
Define what's allowed, redacted, or blocked — and who it applies to — then watch enforcement happen live. No regex archaeology, no waiting on engineering.
- Plain-English rules scoped by team, tool, or data type
- Ready-made policy packs for common frameworks
- Live enforcement feed with per-event detail
| Policy | Action | 30d |
|---|---|---|
| Block secrets & API keys | Block | 87 |
| Redact customer PII | Redact | 1,284 |
| Restrict consumer ChatGPT | Block | 124 |
| Approve new AI tools | Approve | 18 |
Evidence
Compliance evidence, generated
Pre-mapped controls and continuous evidence collection across the frameworks your auditors care about — with every failing control linked to the finding that's causing it.
- EU AI Act, ISO 42001, SOC 2, NIST AI RMF, HIPAA, GDPR
- Control-to-finding traceability, no mystery scores
- One-click audit-ready reports & GRC export
| Framework | Controls | Status |
|---|---|---|
| EU AI Act | 47 / 51 | On track |
| ISO/IEC 42001 | 29 / 41 | In progress |
| SOC 2 Type II | 118 / 122 | Audit-ready |
| NIST AI RMF | 63 / 72 | On track |
Inbound DLP · differentiator
Response Scan — govern what the AI sends back
Everyone scans what employees type into AI. Govern360 also scans what the AI sends back — catching hallucinated PII, leaked data, and risky financial, medical, or legal output before your team trusts it.
- Inbound scanning of model responses, not just prompts
- Hallucination-risk detectors for financial, medical & legal content
- "Worth review" flags surfaced inline, with a full audit trail
| AI tool | Response flagged | Risk |
|---|---|---|
| ChatGPT | Emitted a customer email | PII |
| Claude.ai | Dollar figure in forecast | Financial |
| Copilot | Cited a legal statute | Legal |
| Notion AI | Clean response | OK |
Posture & coverage
One score for how well you govern AI
A single 0–100 AI posture score rolls up discovery, enforcement, evidence, endpoint coverage, and vendor risk — so leadership sees maturity at a glance and knows exactly what moves the number.
- 0–100 posture score across every governance dimension
- Endpoint coverage tracking via managed browser enforcement
- AI vendor risk assessments — retention, training, residency, certs
| Vendor | Assessment | Score |
|---|---|---|
| OpenAI | Enterprise terms | High |
| Anthropic | Enterprise terms | High |
| Perplexity | Consumer trains on data | Medium |
| DeepSeek | Residency concerns | Flagged |
Assessment · new
Secure-AI Architecture Review
Assess each AI system's security architecture — data flows, guardrails, access boundaries, monitoring — against recognized frameworks, with a deterministic maturity score and a prioritized gap list.
- Eight domains mapped to NIST AI RMF, OWASP LLM Top 10 & MITRE ATLAS
- Deterministic score plus an expert AI architecture review
- Tied to your AI inventory — review the systems you actually run
| Domain | Status |
|---|---|
| Data flow & isolation | Strong |
| Input / output guardrails | Gaps |
| Access boundaries | Strong |
| Monitoring & logging | Gaps |
| Supply chain / model provenance | Weak |
Discovery · new
Data Posture — where your sensitive data lives, and where it's flowing into AI
Pulls Microsoft Purview classifications across SharePoint, OneDrive, Exchange and Teams via the Graph API — no agents — then joins the result to your AI enforcement events to show exactly which sensitive data types are reaching which AI tools.
- API-only ingestion from Microsoft Purview — zero endpoint install
- Maps PII, PHI, credit cards, secrets & source-code labels to detector keys
- "Data → AI exposure" view: which classified data is being prompted into AI
| Sensitive data | Lives in | AI exposure |
|---|---|---|
| Credit card numbers | SharePoint / Finance | 2 blocks |
| Employee SSNs | SharePoint / HR | None |
| AWS keys | OneDrive / Engineering | 1 block |
| Customer PII | Teams chats | 7 redactions |
Agentic AI · patent-pending
Agent Action Control Plane — govern every agent, every tool call, every delegation
As autonomous agents and MCP tool calls multiply inside enterprise environments, governance has to follow the agent — not just the user. Govern360 treats every AI agent as a first-class identity, attributes token consumption across agent-to-agent delegation chains, and enforces budgets on tool invocations made via the Model Context Protocol or equivalent interfaces.
- Every autonomous agent enrolled in a first-class registry — identity, owner, and policy scope
- Per-agent token budgets governed under the same phased enforcement modes as human users
- Agent-to-agent delegation tracked back to the originating principal — budgets enforce at any node in the tree
- MCP tool-call consumption captured and governed alongside direct model calls, as a single unit
| Agent / call | Attributed to | Status |
|---|---|---|
| agent_invoice_processor Direct model call · Claude | Finance Ops | Within budget |
| agent_data_extractor Delegated by → invoice_processor | Finance Ops (via chain) | 82% of cap |
| tool: salesforce_query MCP tool call · invoked by data_extractor | Finance Ops (via chain) | 82% of cap |
| agent_rogue_summarizer Unregistered agent | Unattributed | Blocked |
Complete platform
Everything you need to govern AI — in one console.
Twenty-six capabilities across visibility, control, token governance, and administration. One inventory, one policy engine, one audit trail.
Visibility
Dashboard
Live posture, activity, and risk at a glance.
AI Posture
A single 0–100 governance maturity score.
AI Inventory
Every tool, agent & model, classified by risk.
Agents & models
Inventory autonomous agents and the foundation models behind them.
Risk registry
Every AI risk, its owner, status & mapped controls.
Architecture ReviewNew
Score each AI system's security architecture vs. NIST AI RMF, OWASP LLM & MITRE ATLAS.
Behavioral RiskNew
Anomaly scoring surfaces the riskiest AI sessions and users.
Data PostureNew
Where sensitive data lives — and where it's flowing into AI.
Control
Policies
Allow, redact, or block in plain English.
Data Shield
30+ detectors on outbound prompts.
Response ScanNew
Inbound DLP on what the AI sends back.
Agent Action Control PlaneNew
Per-agent budgets, delegation-chain attribution, MCP tool-call governance.
Incidents
Real-time AI policy violations & anomalies.
Compliance
Continuous evidence across six frameworks.
CoverageNew
Endpoint enforcement coverage tracking.
Vendor riskNew
AI vendor assessments & scoring.
SIEM streamingNew
Stream every event to Splunk, Datadog, Sentinel.
Token Governance New
Token monitoringNew
Usage across users, teams, agents & models.
Cost attributionNew
Per-team, per-app showback & chargeback.
Quotas & budgetsNew
Token quotas, budget ceilings, model gates.
Token forecastsNew
Burn rate, fallback rules, anomaly detection.
Administration
Users & roles
RBAC with SSO, SCIM & mandatory MFA.
Integrations
Connect your IdP, AI providers, SIEM & GRC.
DeployNew
Roll out browser enforcement via Entra/Intune.
Audit log
Immutable record of every event in your tenant.
Reports
Board, posture & compliance reports on demand.
How it works
From connected to in control — in an afternoon.
Read-only at every stage. You always approve before anything changes.
1
5 minutes
Connect
Link your identity provider, SaaS, and SIEM with read-only access. No agents to install, no static keys to manage.
2
Hours
Discover
Govern360 builds a full AI inventory and surfaces the shadow tools, risky prompts, and gaps that matter most.
3
Your pace
Enforce
Turn on policy packs and Data Shield detectors. Watch enforcement happen live, scoped to the teams you choose.
4
Continuous
Prove
Evidence collects automatically against your frameworks. Generate an audit-ready report whenever you need one.
Token Governance New
Govern AI consumption — not just AI access.
Every prompt costs tokens. Every agent loop multiplies them. Govern360 makes AI consumption attributable, policy-aware, enforceable, and audit-ready — across every user, team, agent, model, and provider.
Monitoring & attribution
Capture token usage across users, teams, apps, agents, providers and models. Attribute cost to the right cost center automatically.
- OpenAI, Azure OpenAI, Anthropic, Bedrock, Vertex
- Per-user, per-team, per-app, per-agent rollups
- Cost-center tagging for showback & chargeback
Quotas, budgets & policy
Enforce token quotas and budget ceilings at the boundary that matters. Govern360 compiles policy into native gateway and provider controls.
- User, team, app, environment quotas
- Monthly budget thresholds with alert & throttle
- Model restrictions & approval gates for premium models
Forecasting & optimization
See burn rate, projected month-end spend, premium-model misuse, and high-cost prompt patterns. Surface workloads ready for cheaper-model substitution.
- Month-end forecast per team, app and model
- Anomaly detection on runaway agents & prompt loops
- Fallback rules: downgrade premium → standard on breach
Evidence & audit
Every policy decision, overage, throttle, fallback and approval is logged. Token governance becomes part of the same audit trail as the rest of Govern360.
- Immutable audit log of every enforcement action
- Exception approvals with expiry & reason
- Feeds the Govern360 evidence plane
What this actually does. Govern360 ingests token telemetry from your AI applications, AI gateways, and provider monitoring (Azure OpenAI diagnostics, OpenAI usage, Bedrock CloudWatch). It normalizes events into one schema, evaluates them against your token policies, and writes enforcement actions back through the gateway you already use. Govern360 doesn't sit in front of your model calls — it governs them.
Innovation
Built on four patent-pending innovations.
Govern360 isn't a re-skinned GRC tool. The architecture behind it — how policy compiles into native enforcement, how state is verified, how AI consumption is governed at runtime — is the subject of four pending U.S. patent applications. We invested in IP because the category is being built right now, and the technical work matters.
Patent-pending · 01
Automated Enforcement Plan Generation
Policy intent — written once, scoped to your real org — is automatically compiled into native configuration artifacts for the enforcement plane that owns the surface: Purview specs, Intune profiles, SASE rules, AI gateway policies.
Internal: Policy Compiler
Patent-pending · 02
Verified Governance Execution
A formal state machine tracks every control through Compiled → Marked applied → Verified, with each transition backed by evidence. Controls that can't be verified by a live platform API show as Not evidenced — never a false green.
Internal: Trust State Machine
Patent-pending · 03
Multi-Platform Governance Orchestration
A vendor-neutral broker that maps a single governance intent across multiple enforcement planes simultaneously — Microsoft Purview, Microsoft Intune, SASE, AI gateways — so coverage is consistent without re-implementing policy per tool.
Internal: Hybrid Policy Broker
Patent-pending · 04
Runtime AI Cost & Usage Governance
Token telemetry from OpenAI, Azure OpenAI, Anthropic, Bedrock and Vertex is normalized into a provider-agnostic schema, attributed to users, teams, agents and workloads, and evaluated against quotas, budgets and model-tier policies — without proxying model calls.
Internal: Token Governance
What "patent-pending" means here. Govern360 has filed four U.S. patent applications covering the architecture described above. Pending applications do not grant exclusive rights until issued, and timelines and outcomes vary. We mention this because investors and enterprise buyers ask — not as a substitute for the working product, which is already in customers' hands.
Security & trust
Built to be trusted with your most sensitive prompts.
We don't store your prompts
Data Shield evaluates content in-line and keeps decisions and metadata — not the raw prompt bodies. Your data never trains a model.
Per-tenant isolation
Postgres Row-Level Security scoped per tenant, with per-tenant KMS encryption keys available on Enterprise.
SSO, SCIM & RBAC
Okta, Microsoft Entra, and Google SSO with SCIM auto-provisioning, mandatory MFA, and role-based access enforced end to end.
Immutable audit log
Every event — detections, policy changes, admin actions — is logged immutably and can stream straight to your SIEM.
SOC 2 architected
Audit on roadmap
ISO/IEC 42001
AI management
EU AI Act
Ready
GDPR & HIPAA
Mapped controls
Where we are today. Govern360 is architected to SOC 2 and ISO 27001 control standards — tenant isolation via Postgres Row-Level Security, encryption at rest and in transit, immutable audit logging, least-privilege access, and no standing write credentials in customer environments. Formal SOC 2 Type II certification is on our roadmap. Our infrastructure runs on SOC 2 Type II and ISO 27001-certified cloud providers (Supabase, Netlify, AWS). We tell you exactly where we are because audit-grade software starts with audit-grade honesty.
FAQ
Questions, answered.
What is AI governance, and why do I need a platform for it?
AI governance means knowing which AI tools, agents, and models touch your company, controlling what data flows to and from them, and proving to auditors that you have it under control. Govern360 brings discovery, data protection (in both directions), policy enforcement, security-architecture review, behavioral risk scoring, and compliance evidence into one platform — instead of stitching together spreadsheets, browser extensions, and screenshots.
What makes Govern360 different from other AI DLP tools?
Govern360 is a vendor-neutral control plane — the policy brain that orchestrates the enforcement tools you already own (Microsoft Purview, Microsoft Intune, your SASE, your AI gateway), not another tool sitting in the request path. Functionally, we cover more than outbound DLP: Response Scan inspects what the AI sends back, Architecture Review scores each AI system against NIST AI RMF and OWASP LLM Top 10, Behavioral Risk anomaly-scores sessions in real time, and a single 0–100 posture score makes governance maturity visible to leadership. The combination is a full governance picture with no new chokepoint added to your stack.
How does Govern360 discover shadow AI?
Discovery combines SaaS and OAuth-grant analysis, identity-provider sign-in signals, SIEM telemetry, and — for tenants who roll out the managed browser extension via Deploy — endpoint-level visibility. Every detected tool is classified as sanctioned, under review, or shadow, with the users and risk level attached, so you know exactly where to focus first.
What is the AI posture score?
A single 0–100 number that rolls up your discovery coverage, policy enforcement, evidence collection, endpoint coverage, and vendor risk. Each contributing factor is visible and clickable, so a low score reads as a prioritized to-do list — not a mystery — and leadership can see governance maturity at a glance.
How does Architecture Review work?
For each AI system in your inventory, Architecture Review scores the security architecture across eight domains — data flow & isolation, input and output guardrails, access boundaries, monitoring, supply chain & model provenance, and more — mapped to NIST AI RMF, OWASP LLM Top 10, and MITRE ATLAS. The framework score is deterministic; an AI-generated expert review then walks through the gaps and recommended fixes.
Can Govern360 detect risky user or session behavior?
Yes. Behavioral Risk baselines normal AI usage for each user and peer group, then anomaly-scores sessions in real time — surfacing the riskiest AI sessions and users and wiring high-risk findings into Incidents and Architecture Review.
Can I stream Govern360 events to my SIEM?
Yes. SIEM streaming delivers every governance event — detections, policy actions, posture changes, incidents — to Splunk, Datadog, Microsoft Sentinel, and other SIEMs, so your existing security operations stack stays the single source of truth.
Where does Govern360 see sensitive data, and does it need agents?
For Microsoft 365 environments, Data Posture pulls classifications from Microsoft Purview via the Graph API — SharePoint, OneDrive, Exchange, Teams — with no agents required. We map those labels (PII, credit cards, SSNs, secrets, source code) to the same detector vocabulary used by enforcement, then show a "data → AI exposure" view so you see exactly which classified data is being prompted into which AI tools. The honest carve-out: API-only covers cloud data at rest; data flowing into an AI tool from the browser is covered by the Govern360 browser extension (already built into Deploy).
How does Token Governance work?
Govern360 ingests token telemetry from your AI applications, AI gateways, and provider monitoring (Azure OpenAI diagnostics, OpenAI usage, Bedrock CloudWatch). Events are normalized into one schema, attributed to user/team/app/agent/model, and evaluated against your policies — quotas, budgets, model restrictions, and anomaly thresholds. Enforcement happens through the gateway or provider you already use (alert, throttle, block, downgrade to cheaper model, require approval). Govern360 doesn't proxy your model calls.
What is the Agent Action Control Plane?
As autonomous agents and MCP tool calls multiply inside enterprise environments, governance has to follow the agent — not just the user. The Agent Action Control Plane treats every AI agent as a first-class identity in your registry, enforces per-agent token budgets under the same phased modes used for humans, and — critically — attributes consumption across agent-to-agent delegation chains so that when one agent invokes another, the budget enforces at any node in the tree. Tool calls made via the Model Context Protocol (MCP) are captured and governed alongside direct model calls, as a single unit.
Why call yourselves a "control plane" instead of an AI firewall?
An AI firewall sits inline in the request path — every prompt and response flows through it. That works, but it adds another chokepoint, another point of failure, and another vendor to depend on. Govern360 takes a different architectural approach: we sit one layer above your enforcement tools and compile policy into their native config (Microsoft Purview specifications, Intune profiles, SASE rules, AI gateway policies). The tools you already operate enforce; Govern360 directs and produces the evidence. You keep your stack. We bring the brain and the audit trail.
What is patent-protected in Govern360?
We have filed four U.S. patent applications covering the core architecture: (1) automated enforcement-plan generation that compiles policy intent into native config for multiple enforcement planes; (2) verified governance execution with a formal Compiled → Marked applied → Verified state machine; (3) multi-platform governance orchestration mapping a single policy intent simultaneously across Purview, Intune, SASE, and AI gateways; and (4) runtime AI cost and usage governance covering provider-agnostic token telemetry, per-agent budgets, and agent-to-agent delegation chain attribution. Disclosure: pending applications do not grant exclusive rights until issued; timelines and outcomes vary.
Can Govern360 govern Microsoft 365 Copilot?
Yes — and this is the plane a browser extension can't reach, since Copilot runs server-side inside your tenant. Govern360 compiles each of your group-scoped policies into a Microsoft Purview specification: which Sensitive Information Types to use (including which detectors need a custom SIT), a recommended sensitivity label that gates Copilot, the DLP-for-Copilot action, and a step-by-step Purview portal runbook. You apply it in Purview; Microsoft enforces it on Copilot. Honest framing: Microsoft doesn't expose a REST API to create Purview DLP policies, so Govern360 compiles the spec and runbook — your admin applies it.
How does Govern360 enforce policy on endpoints?
For deeper enforcement, Deploy rolls out a managed browser extension via Microsoft Entra/Intune (with more managed-device paths on the roadmap). The extension applies Data Shield and Response Scan inline in the browser — but Govern360 still works without it for tenants who want to start with read-only network and SaaS-based discovery.
How does Govern360 assess AI vendors?
Vendor risk runs assessments against each AI vendor in your inventory — data retention, training on customer data, residency, certifications (SOC 2, ISO, HIPAA), and contractual terms — and scores them. You'll see a per-vendor rating, with flagged vendors (e.g. consumer tools that train on data, or systems with residency concerns) surfaced for action.
Which compliance frameworks does Govern360 support?
Continuous evidence is mapped to the EU AI Act, ISO/IEC 42001, SOC 2 Type II, NIST AI RMF, HIPAA, and GDPR. Each failing control links directly to the finding or policy that satisfies it, so a low score is an actionable list — and you can export audit-ready reports on demand or stream evidence to GRC platforms like Vanta.
Does Govern360 store my prompts or responses?
No. Data Shield and Response Scan evaluate prompts and AI responses in-line and retain decisions and metadata — not the raw content. You choose which detectors block, redact, warn, or flag for review. Your data is never used to train a model.
How long does it take to get value?
Read-only connection takes about five minutes per integration — no agents, no static keys. Your first AI inventory and risk surface appear within hours, and you can turn on policy packs and Data Shield detectors the same day. Architecture Review, Behavioral Risk, and SIEM streaming light up as you bring in more data.
Is there a free trial?
Yes — a 14-day free trial with no credit card. Connection is read-only and takes about five minutes per integration, so you can see your first AI inventory and risk surface within hours.
See what's running in your environment — for free.
Connect read-only in minutes and get your AI inventory, shadow-AI risk, and a sample compliance report before you commit to anything.
Or pick a time on our demo availability calendar
14-day free trial · read-only access · no prompts stored · no credit card to start