Your employees paste sensitive data into AI tools with zero identity checks or device compliance. Our 16,024+ classified AI domains feed directly into your identity and network stack for continuous, policy-driven enforcement.
Organizations enforce conditional access, device checks, and MFA for Salesforce and Microsoft 365. But the same employees paste proprietary data into thousands of AI tools with zero verification.
AI tools don't participate in your identity fabric — no SAML flows, no OIDC tokens, no session monitoring. From a zero trust perspective, every AI tool is an uncontrolled trust boundary.
Closing this gap requires two capabilities. First, AI destination intelligence: the AI Tools Blocklist provides 16,024+ domains classified into 18 categories, updated daily.
Second, policy enforcement at the identity layer: conditional access policies, device checks, and session controls targeting AI tool destinations specifically.
Every AI tool access request tied to a verified identity. Anonymous browsing is an uncontrolled trust boundary. Conditional access enforces authentication before any AI domain is reachable.
A verified identity on a compromised device is still a risk. Devices must meet compliance baselines — current patches, active EDR, disk encryption — before AI access is permitted.
Authentication at session start is not enough. If device posture changes, risk escalates, or anomalies appear, the AI tool session must be re-evaluated or terminated in real time.
Your identity provider is the natural enforcement point for zero trust AI governance. Microsoft Entra ID, Okta, and Ping Identity all evaluate identity, group membership, device compliance, location, and risk level before granting access.
The challenge is targeting these policies at AI tool destinations — external web services that don't integrate with your IdP. Import the AI Tools Blocklist into Microsoft Defender for Cloud Apps as a custom app tag, then reference it in Entra ID conditional access policies.
grantControls demands multi-factor authentication for every AI tool sessionsignInFrequency forces re-auth every 60 minutes, preventing session hijackingFor Okta environments, leverage Okta's Access Gateway or SWG integration to apply sign-on policies to AI URL categories. Configure phishing-resistant authentication (FIDO2/WebAuthn) for AI tool access — the strongest verification available, aligned with CISA's zero trust maturity model.
Not every employee needs access to every AI tool category. Map organizational roles to the blocklist's 18 categories and create group-based conditional access policies for each tier.
Access limited to sanctioned enterprise AI tools only (e.g., Microsoft Copilot, approved chatbot). All other AI tool categories blocked. Basic MFA required. Device compliance enforced. This is the default tier for all employees — access to unsanctioned AI tools is denied by policy.
Access to sanctioned tools plus approved AI code assistants and AI data analytics tools. Phishing-resistant MFA (FIDO2) required. Compliant device mandatory. Session recording enabled. Data loss prevention policies applied to outbound AI traffic. Requires manager approval and annual recertification.
Broad access to AI tools for security research, competitive evaluation, or vendor assessment. All sessions proxied and logged. DLP scanning on all uploads. Step-up authentication for each new AI tool domain. Restricted to security and innovation teams with CISO approval. Quarterly access review mandatory.
Just-in-time access for specific AI tools with time-limited tokens. Used for incident response, red team operations, or executive-approved AI initiatives. Requires two-person approval (manager + CISO). Access expires automatically after defined window. Full session capture and audit trail for compliance.
A verified identity on a compromised endpoint is still a data exfiltration vector. Zero trust demands device posture evaluation as a condition of AI access, not a separate concern.
Evaluate these through Intune compliance policies, Jamf Pro rules for macOS, or CrowdStrike Zero Trust Assessment (ZTA) scores — all feed into conditional access decisions.
When Intune marks a device as non-compliant, Entra ID's conditional access engine denies AI tool access automatically. Employees who want to use AI tools must keep their devices compliant — improving overall security posture as a side effect of AI governance.
Route AI-destined traffic through a dedicated inspection zone with deep packet inspection, DLP, and session logging — without impacting general internet performance.
Import the AI Tools Blocklist as an External Dynamic List (EDL). Reference it in security policy rules that route matching traffic through a dedicated security zone with enhanced inspection profiles.
Populate a custom URL category with blocklist domains. Trigger specific DLP and CASB policies for AI-destined traffic through Zscaler's cloud proxy architecture.
Internal AI environments — self-hosted LLMs, open-source model experiments, AI training infrastructure — must be segmented from production data stores with the same identity-based policies as external AI tools. Internal AI tools exfiltrate to a different destination, but the data exposure risk is identical.
AI-destined internet traffic routed through a dedicated inspection zone. The AI Tools Blocklist feeds the classification engine — traffic to any of the 16,024+ AI domains triggers enhanced inspection, DLP scanning, and session logging.
Internal AI development environments, self-hosted LLM instances, and AI model training infrastructure isolated in dedicated network segments. Production data cannot flow to AI segments without explicit policy approval.
Point-in-time authentication violates zero trust. AI sessions are long-running and interactive — risk increases with every prompt as more sensitive context is shared.
Continuous verification ensures that sessions remain legitimate throughout, not just at the moment of initial authentication.
| AI Tool Category | Re-Auth Interval | MFA Type | Risk Level |
|---|---|---|---|
| AI Code Assistants | 30 minutes | FIDO2 / WebAuthn | Critical |
| AI Data Analytics | 30 minutes | FIDO2 / WebAuthn | Critical |
| AI Agents | 30 minutes | FIDO2 / WebAuthn | Critical |
| AI Chatbots | 60 minutes | Standard MFA | High |
| AI Writing Tools | 60 minutes | Standard MFA | High |
| AI Image / Design | 120 minutes | Standard MFA | Medium |
User moves from AI text generation to AI code generation — different risk category requires re-verification before allowing access.
User begins uploading files after a text-only session — the risk profile of the interaction has fundamentally changed.
Cumulative data submission to AI tools exceeds a threshold (e.g., 100 KB in one hour) — warrants verification of intent.
Behavioral analytics platforms — Entra ID Protection, CrowdStrike Falcon Identity Protection, or UEBA platforms — evaluate AI tool interactions in real time for anomalous patterns.
AI tool access outside the user's established working hours baseline
Sudden increase in data volume submitted to AI tools beyond normal patterns
Rapid access to many different AI tools in succession — potential data exfiltration
AI tool access from a geographic location inconsistent with the user's recent activity
Low-risk signals (sanctioned tool, usual location, business hours, compliant device) allow longer re-auth intervals. High-risk signals (unsanctioned tool, new location, 2 AM, elevated data volume) trigger immediate step-up authentication and SOC alerting.
The default state for every employee should be no access to unsanctioned AI tools. Incremental access is granted only when a business need is demonstrated, approved, and time-bounded.
Employee submits request via ServiceNow, SailPoint, or custom workflow — specifying the AI tool, business justification, data types, and access duration needed.
Request routes to the appropriate approver based on risk category. Low-risk categories require manager approval only; high-risk categories require both manager and security team sign-off.
User activates access through Azure PIM with phishing-resistant MFA (FIDO2). Access group membership is granted for a maximum 4-hour window per activation.
Access expires automatically — no standing permissions. Need more time? Re-activate with a new approval cycle. Eligibility itself expires after 90 days, forcing quarterly recertification.
The following Azure PIM configuration implements this workflow with Entra ID group-based conditional access.
Access certification campaigns are manual, time-consuming, and prone to rubber-stamping. Correlate the AI Tools Blocklist against proxy and DNS logs to make reviews data-driven.
| Signal | Example | Recommended Action |
|---|---|---|
| Unused Access | "Tier 2 access granted, no AI code assistant accessed in 60 days" | Revoke — violates least privilege |
| Expired Justification | "Tier 3 research access for Project X — project ended 30 days ago" | Revoke — original business need no longer exists |
| Category Mismatch | "Tier 2 Code access granted, but user only accesses AI Writing tools" | Downgrade to Tier 1 — right-size the permission |
This evidence-based approach transforms access reviews from opinion-based ("do you think this person still needs access?") into data-driven decisions ("this person hasn't used the access — recertify or revoke?").
Deploying full enforcement on day one generates support tickets, shadow workarounds, and executive escalations. Use a phased approach that builds organizational support while progressively tightening controls.
Deploy the AI Tools Blocklist in monitoring-only mode. Correlate DNS and proxy logs against the 16,024+ domain feed to identify which AI tools employees are currently using. Produce a baseline report showing tool categories, user counts, and data volume. This report becomes the business case for subsequent phases. No access is blocked — visibility only. Integrate with your shadow AI detection workflow.
Using the baseline data, define the role-based AI access tiers, map organizational groups to tiers, and draft conditional access policies. Identify sanctioned AI tools that will be explicitly allowed and configure identity provider integrations. Socialize the policy with business stakeholders and IT leadership. Build the JIT access request workflow.
Deploy conditional access policies in report-only mode first to validate impact. Gradually move policies to enforcement, starting with the highest-risk AI tool categories (AI code assistants, AI data analytics). Monitor for access disruptions, refine tier assignments based on support feedback, and tune behavioral analytics baselines. Enable DLP scanning for AI-bound traffic.
All AI tool access requires identity verification, device compliance, and continuous monitoring. Behavioral analytics drive adaptive re-authentication. Access reviews run quarterly. The daily-updated blocklist feed ensures new AI tools are captured automatically. Monthly reporting to security leadership on AI governance posture, trend data, and exception metrics.
Without comprehensive AI domain classification, Phase 1 cannot produce an accurate baseline. Without daily updates, Phase 4 cannot maintain coverage. The blocklist transforms zero trust AI governance from aspirational to operationally achievable.
| Layer | Technology | Function |
|---|---|---|
| Domain Intelligence | AI Tools Blocklist | Classify every AI destination — 16,024+ domains across 18 categories |
| Identity & Access | Entra ID, Okta, Ping | Authentication, authorization, conditional access policies |
| Device Compliance | Intune, Jamf, Workspace ONE | Posture checks, patch status, EDR verification, encryption enforcement |
| Network Enforcement | Palo Alto, Zscaler, Cisco Umbrella | SWG/NGFW-based domain blocking, SSL inspection, DLP |
| Monitoring & Analytics | SIEM, UEBA platforms | Behavioral analytics, anomaly detection, compliance reporting |
The AI Tools Blocklist API connects these layers — EDL feeds for Palo Alto, custom URL categories for Zscaler, app tags for Defender for Cloud Apps, and JSON for custom integrations. When a new AI tool domain is added, every component in the stack receives the update automatically within the daily cycle.
We work with zero trust architects to integrate AI tool governance into conditional access policies, device compliance workflows, and network segmentation strategies.
Tell us about your zero trust architecture and we will help you integrate AI tool governance into your identity and access framework.