Your AI agent can reach enterprise systems. Can your security team explain exactly which tools it may use—and who is allowed to use the agent?
That question brings together two growing identity challenges.
Established automation depends on service accounts, application identities and cloud workloads. AI adoption adds agents that can interact with tools, retrieve information and initiate actions on behalf of people.
Each needs an accountable owner, appropriate access and a lifecycle that ends when its purpose ends.
For enterprises comparing Citadel Identity360 and SailPoint, Citadel offers a compelling proposition: bring human, machine and AI identities into a common governance model, with explicit controls over agent ownership, MCP connections, permitted tools and human usage.
This makes Citadel particularly relevant to organizations that want to expand automation while keeping control of the access behind it.
Govern the identities already running your business
Before an enterprise deploys its first AI agent, non-human identities are already performing essential work.
Service accounts run scheduled processes. Application identities connect business systems. Workload identities access cloud resources. Integration accounts move information between platforms.
These identities do not follow the same lifecycle as employees. A service account may remain active after its creator leaves. An integration may retain permissions after the project it supported ends.
Effective non-human identity governance therefore needs to connect identity, ownership, permissions, review and decommissioning.
Citadel brings these responsibilities into its broader identity-governance model. Organizations can address machine identities alongside workforce access, using consistent principles of accountability and least privilege.
This reflects the wider purpose of identity and access management: ensuring that people and things have appropriate access to resources throughout their lifecycle.
Make ownership the starting point
An inventory can show that an identity exists. Ownership establishes who is responsible for it.
For an AI agent, that responsibility should be clear before the agent receives access to enterprise tools.
Citadel captures ownership when MCP servers and agents are registered. This makes accountability part of onboarding rather than a cleanup exercise after deployment.
For the wider non-human estate, Citadel’s lifecycle capabilities support accountable ownership from creation through decommissioning.
The Cloud Security Alliance’s work on defining non-human identity similarly emphasizes ownership, lifecycle and access scope as central governance concerns.
For an enterprise team, the operational questions become clearer:
- Who is responsible for this identity?
- What business purpose does it serve?
- Which resources does it need?
- Who should review its access?
- What should happen when it is no longer required?
Citadel provides a common governance foundation for addressing those questions across identity types.
Control the tools an AI agent can use
Citadel’s agent-governance model makes tool authorization explicit.
Administrators register Model Context Protocol servers, create agents with assigned owners and connect each agent to the appropriate MCP servers. They then authorize the specific tools each agent needs.
Connecting an agent to an MCP server does not require granting it every tool that server exposes.
This distinction matters when a server offers both low-risk retrieval functions and more consequential modification functions.
Consider a research agent connected to a knowledge system and a project-management system. Its intended purpose might require:
- Searching and reading documents.
- Listing projects.
- Reading project status.
Deleting documents or updating project records would represent a different level of authority.
Citadel’s tool-level authorization allows these boundaries to be defined explicitly. Explore Citadel’s agent and MCP governance.
The wider importance of controlling AI access to enterprise information is explored in KuppingerCole’s analysis of agentic AI and data access control. Tool authorization forms one important part of that control model, alongside the permissions enforced by the underlying systems.
Govern who can use the agent
An agent’s permissions are only half the access relationship. The organization also needs to control which people can invoke that agent.
Citadel uses an OAuth layer to restrict agent usage to organizational members. An additional allowlist can narrow access to selected members.
This creates two distinct governance decisions:
| Governance question | Citadel control |
|---|---|
| What may the agent use? | Authorization for specific tools on connected MCP servers |
| Who may use the agent? | Organizational authentication and an optional user allowlist |
These decisions help address a practical risk: a person may be able to initiate actions through an agent that holds access they do not possess directly.
Understanding OAuth and OpenID Connect helps distinguish the authentication and authorization roles involved in such access patterns.
The Cloud Security Alliance’s discussion of intent-based access control for AI agents explores the broader challenge of aligning an agent’s authority with its intended task.
Citadel gives organizations concrete controls over the agent, its permitted tools and its authorized users.
Enable configuration-based access from AI platforms
Citadel generates a configuration file that platforms such as Claude, OpenAI and Cursor can use to connect their agents to governed MCP servers.
This is a configuration-based approach. The connection is established through the Citadel-generated configuration, while access remains subject to the governance rules defined in Citadel.
Users sign in with their organizational identity. Citadel’s configuration-distribution model avoids embedding tokens, keys or secrets in the configuration shared with users.
For enterprises adopting AI across multiple teams, this provides a practical way to combine platform choice with centrally defined access boundaries.
The conversation becomes specific: which agent, which MCP servers, which tools and which authorized users?
Keep access reviewable as automation evolves
An identity’s original permissions may stop matching its purpose.
A service account gains access during troubleshooting. An application changes ownership. An agent is repurposed for a new workflow. A temporary integration becomes permanent without a corresponding governance decision.
Citadel combines lifecycle management, access requests, reviews and risk context within its wider platform.
By certifying access, organizations can reassess whether permissions remain justified rather than allowing initial approvals to become indefinite authority.
Citadel also includes AI-agent kill-switch functionality, adding an emergency intervention capability to its agent-governance model.
For security leaders, the objective is clear: automation should remain owned, reviewable and subject to intervention throughout its operational life.
Connect AI governance to the wider enterprise
AI agents operate within an existing technology estate. Their tools may reach SaaS applications, cloud resources, databases or services backed by legacy systems.
Citadel combines agent governance with broader lifecycle management, access reviews, identity-risk visibility and enterprise integrations. Its identity graph helps teams understand relationships among identities, applications, permissions and access paths. Explore Citadel Identity360.
This matters when the risk spans multiple identity types.
An employee may use an agent that accesses an application through a non-human account. Reviewing each element separately can make it difficult to understand the overall access relationship.
Citadel’s unified approach gives organizations a foundation for bringing those relationships into the same governance program.
Why explore Citadel alongside SailPoint?
SailPoint has established non-human and AI identity capabilities. Its current Agentic Fabric includes agent and non-human identity registries, ownership and lifecycle controls, identity relationships and MCP visibility. See SailPoint’s Agentic Fabric overview.
Citadel’s case is strongest when the enterprise wants a concrete, understandable governance workflow spanning:
- Accountability: assign owners to agents and MCP servers.
- Connectivity: map agents to the MCP servers they need.
- Authority: authorize specific tools.
- Human access: control who can use each agent.
- Distribution: provide configuration-based access.
- Ongoing governance: review access and manage identity lifecycles.
- Intervention: include emergency containment in the control model.
For organizations moving AI agents from experiments into business use, this combination deserves a place at the front of the evaluation.
Citadel turns the governance discussion into decisions that business owners, IAM administrators and security teams can work through together.
Start with one agent and make its boundaries explicit
Choose an agent your organization already uses—or plans to introduce.
Identify its business owner, the MCP servers it needs, the tools it should be permitted to use and the people who should be allowed to invoke it.
Then explore that scenario in Citadel.
A focused demonstration can show how ownership is established, how tool permissions are assigned, how user access is restricted and how the configuration is distributed.
Bring your first business-critical agent to a Citadel Identity360 demonstration. Discover how to put clear ownership and access boundaries around the automation your organization wants to scale.
Frequently asked questions
What makes Citadel relevant for non-human identity governance?
Citadel brings service accounts, machine identities, workloads and AI agents into its wider governance model, connecting ownership, access management, reviews and lifecycle controls.
Can Citadel restrict an agent to selected MCP tools?
Yes. Citadel supports authorization at the tool level, allowing an agent to receive the specific tool set it needs rather than every tool on a connected MCP server.
How does Citadel support platforms such as Claude, OpenAI and Cursor?
Citadel generates a configuration file that these platforms can use for their agents to access governed MCP servers. This is configuration-based access governed through Citadel.
Can Citadel control which employees use an agent?
Yes. Citadel supports organizational access through an OAuth layer, with an additional allowlist to restrict usage to selected organizational members.
Does SailPoint also govern non-human identities and AI agents?
Yes. Citadel’s appeal lies in its combination of unified identity governance, explicit MCP and tool permissions, controlled human usage and configuration-based agent access.