Enterprise · AI Data Governance
AI data governance at enterprise scale
Govern every AI agent, MCP server, and copilot from one policy plane. Identity-synced from your IdP, redacted at egress, audited end-to-end — built for CISO, GRC, and Privacy.
Three pillars of enterprise AI governance
Org-wide policy plane
One control point for Claude, ChatGPT, Copilot, Gemini, and Cursor across every team. Set ceilings at the account level, override per-team via Policy Groups, and roll out changes without redeploying a single agent.
Identity-synced from your IdP
Roles flow from Okta, Microsoft Entra ID, and Google Workspace into default policy bundles. Joiner-mover-leaver events update AI access in seconds — no parallel ACL to drift.
Tamper-evident audit trail
Every prompt, redaction decision, and authorization outcome is signed and streamed to Splunk, Datadog, Elastic, or S3. Population-testable evidence for SOC 2, HIPAA, and EU AI Act audits.
Compliance map
How PortEden helps you satisfy the controls your auditors read
| Requirement | What PortEden does | Evidence |
|---|---|---|
| HIPAA §164.308(a)(3)–(4) — Workforce Security & Information Access Management | Identity-synced policy bundles enforce minimum-necessary access at the AI layer. Per-request authorization decisions include subject, resource, and policy version. | Per-request audit log · default-deny PBAC |
| SOC 2 CC6.1 / CC6.3 — Logical access controls | Default-deny six-layer access control with per-AI-client policy enforcement. Continuous evidence collection via SIEM stream. | Tamper-evident SIEM stream · signed CSV evidence pack |
| GDPR Art. 32 — Security of processing | Pseudonymization at egress, encryption in transit (TLS 1.3) and at rest (AES-256), tested incident response, EU Data Boundary deployment option. | DPA · pseudonymization at egress |
| ISO 27001 A.5.15 / A.5.18 — Access control & information access | Policy-as-code expressed in attribute terms. Access reviews exportable as signed CSV; tested quarterly via automated drift detection. | Signed access-review CSV · policy-version trail |
| NIST 800-53 AC-2 / AC-6 — Account management & least privilege | Policy Groups inherit organization defaults; deny rules cannot be overridden downward. Break-glass tokens are time-bound and audited. | Per-request decision log · time-bound break-glass tokens |
| EU AI Act Art. 9 — Risk management & data governance | Per-AI-client policy isolation. High-risk model use is gated by purpose attribute and routed through redaction before egress. | Per-AI-client policy isolation · purpose-attribute gating |
Built for procurement
DPA available
Subprocessor list
SIG / CAIQ pre-filled
Pen-test report on request
Book a demo
Talk to our enterprise team
30-minute discovery call. Bring your security questionnaire.
Frequently Asked Questions
What is AI data governance?
AI data governance is the practice of controlling which AI agents, models, and copilots can read your organization's data, what they can do with it, and how that activity is logged. PortEden implements it as one policy plane that sits between your AI clients (Claude, ChatGPT, Copilot, Gemini, Cursor) and your data providers (Gmail, Outlook, Drive, SharePoint, Slack, Teams, Jira), enforcing identity-synced policies and tamper-evident audit on every request.
How is this different from a CASB or DLP?
CASBs proxy SaaS traffic at the network layer; DLP scans for patterns at the file level. Neither understands the AI request shape — what the agent is trying to accomplish, which resources it actually needs, or whether the output should be redacted. PortEden runs at the AI/data boundary with semantic awareness: per-request policy evaluation, structure-preserving PII redaction, and AI-client-specific scoping that a CASB cannot express.
Can we govern Claude, ChatGPT, Copilot, and Gemini from one place?
Yes. PortEden treats every AI client as a first-class subject in the policy model. The same rule — "contractors cannot read confidential data outside business hours" — applies whether the request comes from Claude Desktop via MCP, ChatGPT via Connectors, Copilot in M365, Gemini in Workspace, or a CLI agent. Per-client overrides are also possible (e.g., allow Claude in regulated workflows, deny ChatGPT).
How fast can we roll this out across the organization?
Most enterprise rollouts take 2–4 weeks: week 1 connects identity (Okta / Entra / Workspace SCIM) and a pilot data source, week 2 imports policies in observe-only mode, weeks 3–4 enable enforcement and SIEM streaming. Free-tier teams can self-onboard in under 30 minutes for proof-of-concept.
Does this work with our existing IdP and SIEM?
Yes. Identity sync is via SCIM 2.0 with first-class support for Okta, Microsoft Entra ID, and Google Workspace. Audit streams to Splunk HEC, Datadog Logs, Elastic Common Schema, and S3 — formats your detection engineers already parse. Signed CSV exports are also available for regulators who require offline evidence.
What evidence do we get for audits?
Every authorization decision is recorded with subject, resource, action, AI-client, environment, policy version, and outcome. Evidence packs are signed and exportable. The same audit stream produces the per-request evidence SOC 2 CC7.2, HIPAA §164.312(b), GDPR Art. 30, ISO 27001 A.5.15, and NIST 800-53 AU-family auditors typically request. Compliance with those frameworks remains your responsibility — PortEden provides the technical control, you operate the program around it.
Ready to govern AI across your organization?
Book a discovery call. Bring your security questionnaire — DPA, subprocessor list, and pen-test summary available on request.