ServiceNow AI Passport Ties Agent Identity to Business Context at Runtime
Source
ServiceNow gives AI agents a passport, and limits on what they can do
ServiceNow
Via ServiceNow
What happened
ServiceNow has launched AI Passport, described in ServiceNow gives AI agents a passport, and limits on what they can do as a cryptographically signed credential. It verifies what an AI agent is authorized to do at the moment it acts, not just when it logs in. The credential carries the agent's approved scope, including which systems it may access and what actions it may take. That scope is checked continuously as the agent moves through multi-agent workflows and Model Context Protocol (MCP) environments. MCP is an open protocol that lets AI agents connect to external tools and data sources; without controls at that layer, an agent can quietly exceed its original permissions. The launch follows a documented pattern of authorization failures in agentic deployments, including 253 MCP Server Bugs and Six Framework Bypasses Expose Agent Authorization Gap. It also follows the finding that 55% of Organizations Run System-Changing AI Agents Without Identity Controls. The product reflects a shift that researchers and practitioners have named explicitly: governance over agents must move from setup-time configuration to continuous, per-action authorization.
Why it matters
- ·Regulators and auditors increasingly expect organizations to show not just that agent permissions were set correctly at deployment, but that those permissions were enforced at every action step. A runtime credential approach makes that evidence producible, which matters for EU AI Act (Regulation (EU) 2024/1689) conformity assessments and financial regulators examining agentic AI deployments.
- ·The identity-at-runtime model directly addresses the control gap documented across MCP environments. Agents can acquire access to systems or data far beyond their intended scope once live. Organizations already using ServiceNow workflows or MCP-connected agents face immediate procurement and configuration decisions if they lack equivalent controls today.
- ·Because AI Passport is a vendor product rather than an open standard, procurement teams must evaluate several factors. These include whether its authorization model integrates with existing access governance systems, what audit log format it produces, and whether those logs meet the organization's incident response and regulatory reporting requirements.
Governance controls affected
What to do now
- ☐Ask your engineering or IT team to list every AI agent currently running in your environment and confirm whether each one has a distinct identity credential that records what it is authorized to do, separate from general user credentials.
- ☐For any agent connected to MCP servers or multi-agent workflows, verify that authorization is checked at each action step, not just at startup; request evidence of how the current system would prove this to an auditor.
- ☐If you are evaluating ServiceNow AI Passport or a comparable product, require the vendor to demonstrate what audit log records are generated for each agent action and confirm those logs can be exported into your existing log management or compliance reporting system.
- ☐Review your agent procurement checklist to add a specific requirement: vendors must document how their products enforce and record per-action authorization boundaries, not merely initial access controls.
- ☐Confirm with your legal and compliance team whether your current incident response plan covers scenarios where an AI agent exceeded its authorized scope, and update the plan if runtime authorization evidence is not yet part of the required record.
What to watch next
The market for runtime agent authorization products is forming quickly, and ServiceNow's named entry is likely to prompt comparable announcements from other enterprise platform vendors. Compliance teams should watch whether these products align with emerging standards from bodies such as the International Telecommunication Union's focus group on trust and identity for agentic AI. They should also watch whether regulators begin to treat runtime credential evidence as an expected audit artifact. The Five Eyes Guidance on the Careful Adoption of Agentic AI Services has already named identity and scope controls as a baseline expectation. Enforcement-minded regulators in financial services and healthcare may begin referencing that framing when reviewing incidents involving agents that exceeded intended access.
Stay ahead of stories like this
Get every US AI governance development like this one, plus the rest of the week's developments. Every Thursday.
Recent issues
- Three separate incidents this week reveal that AI vendors cannot be trusted to self-police, and that harm from deployed agents can run unchecked for months before anyone inside the organization notices.15 Oct
- AI systems built to extend your reach are now extending attackers' reach too, and regulators in California and South Korea are making clear that containment failures belong to deployers, not just vendors.8 Oct
Free every Thursday. Unsubscribe anytime.
