Enterprise AI agents
Understand which systems autonomous agents can reach and which identities they use to get there.
Your AI agents have identities. Secure them.
AI agents connect to applications, databases, cloud infrastructure and sensitive company information using service accounts, API keys, tokens and other machine identities.
Fairpointe helps organisations discover these identities, understand what they can access and control what autonomous systems are allowed to do.
- 01Discover
- 02Govern
- 03Control
- 04Monitor
AI creates a new identity problem.
Traditional identity security was designed primarily around people.
AI agents and automated workloads operate differently. They authenticate to systems, call APIs, access data, trigger workflows and take actions without a person signing in each time.
Every credential creates a potential path to company systems and information.
As organisations deploy more AI, understanding these non-human identities becomes part of securing the AI infrastructure itself.
Agent or workloadIdentity usedSystem reachedEffective access
Agent or workloadCustomer support agent
Identity usedOAuth token
System reachedCRM
Effective accessRead and write, every record
Agent or workloadCoding agent
Identity usedGitHub App token
System reachedSource repositories
Effective accessWrite, every repository
Agent or workloadData pipeline
Identity usedService account key
System reachedData warehouse
Effective accessProject owner
Agent or workloadMCP server
Identity usedLong-lived API key
System reachedPayments API
Effective accessUnrestricted scope
Control the identities behind your AI systems.
01
Discover
Identify service accounts, API keys, tokens, secrets and other non-human identities across your technology environment.
02
Govern
Understand ownership, permissions, dependencies and which systems each identity can access.
03
Control
Reduce excessive privileges, improve credential management and establish controls around what agents and workloads are permitted to do.
04
Monitor
Identify unusual activity, changes in access and risks as your AI and cloud environments evolve.
01
Discover
Identify service accounts, API keys, tokens, secrets and other non-human identities across your technology environment.
02
Govern
Understand ownership, permissions, dependencies and which systems each identity can access.
03
Control
Reduce excessive privileges, improve credential management and establish controls around what agents and workloads are permitted to do.
04
Monitor
Identify unusual activity, changes in access and risks as your AI and cloud environments evolve.
Secure agents across your environment.
AI rarely operates inside a single platform. Fairpointe takes an environment-wide approach to the identities and infrastructure connecting agents to company systems.
| Environment | Non-human identities in scope |
|---|---|
| AWS | IAM roles, access keys, instance and function roles |
| Microsoft Azure | Managed identities, service principals, Key Vault secrets |
| Microsoft Entra | App registrations, service principals, OAuth consent grants |
| GitHub | GitHub Apps, Actions tokens, deploy keys, personal access tokens |
| Kubernetes | Service accounts, workload identity bindings, mounted secrets |
| SaaS applications | OAuth integrations, API tokens, connected applications |
| MCP infrastructure | MCP server credentials, tool permissions, delegated tokens |
Where AI agent security matters.
Machine identities
Discover and govern service accounts, API credentials, workload identities and other non-human access.
Cloud and DevOps
Understand machine access across cloud infrastructure, CI/CD systems, repositories and Kubernetes environments.
MCP and AI infrastructure
Apply security controls to the emerging infrastructure connecting AI models and agents to tools, data and enterprise systems.
AI agent security questions
What is AI agent security?
AI agent security is the practice of protecting autonomous and semi-autonomous AI systems, including the identities, credentials, permissions, applications and data they use to perform actions.
What is a non-human identity?
A non-human identity is a digital identity used by software rather than a person. Examples include service accounts, API keys, access tokens, workload identities and credentials used by automated systems or AI agents.
Why do AI agents create identity risk?
AI agents can interact with multiple systems and perform actions autonomously. If their credentials have excessive permissions, are poorly managed or become compromised, an attacker or malfunctioning agent may gain access to sensitive systems or data.
Can Fairpointe work across AWS and Microsoft Azure?
Yes. Fairpointe’s approach is designed for multi-cloud and mixed technology environments, including AWS, Microsoft Azure, Microsoft Entra, GitHub, Kubernetes and SaaS applications.
Understand what your AI agents can access.
Talk to Fairpointe about your AI, cloud and machine identity environment.