Identity management for AI agents
AI agents act on behalf of your users and access your systems: they need a verifiable identity, protected non-human credentials and scoped permissions. With LoginMaster you govern AI agent identities with least-privilege access and cryptographic per-tenant isolation, in a Zero Trust model.
Why AI agent identities matter
As agentic AI spreads, non-human identities — agents, automations, workloads and services — outnumber human ones. Every AI agent that calls an API, reads data or triggers an action is effectively an identity that must be authenticated, authorized and tracked, exactly like a user.
Treating AI agents as first-class identities reduces risk: stolen non-human credentials, excessive permissions and untracked actions are among the leading emerging attack vectors. LoginMaster applies the same strong controls used for human identities — verification, least privilege and per-tenant isolation — to AI agents too.
Every agent is an identity
Every AI agent, automation or workload gets a distinct identity and a dedicated, never-shared credential. No generic secrets reused across services: each non-human identity is unique and independently revocable.
Least privilege for agents
AI agents get only the permissions they strictly need, scoped per project and per tenant. Separation of scopes reduces the attack surface and contains the impact of a compromised credential.
Continuous verification and traceability
Every AI agent access is authenticated with dual-signature tokens and logged. You always know which identity did what, when and with which permissions, in full Zero Trust logic.
How LoginMaster governs AI agents
The platform controls cover the full non-human identity lifecycle: issuance, authentication, authorization, isolation and audit.
Dedicated non-human identities
Every AI agent, bot or service has its own identity with separate credentials. Non-human identities are managed, rotatable and revocable without impacting other agents or users.
Protected credentials and dual-signature tokens
AI agent credentials are protected with split-salt and Argon2 and validated by dual-signature authentication tokens, reducing the risk of theft and replay of non-human credentials.
Per-project permissions and least privilege
Access policies are enforced at the individual project level: each AI agent only sees the resources in its scope, with minimal permissions adapted to the usage context.
Per-tenant isolation
Unique cryptographic keys for each tenant and project. AI agents operate on encrypted and pseudonymized data: personal data stays on the customer's tenant and is not accessible even to the provider.
Integration via SDKs and REST API
Assign identities to AI agents from your services with the TypeScript and .NET SDKs and REST API, without rewriting your infrastructure. Automations authenticate in a standard, secure way.
Audit and SIEM integration
Every AI agent access, successful or failed, is logged. SIEM integration (Splunk, QRadar, Sentinel, Elastic) streams non-human identity events into your SOC in real time.
Governing AI agents step by step
A pragmatic path to bring non-human identities and AI agents under LoginMaster's control.
- 1
Inventory your agents
Identify AI agents, automations and workloads that access your systems and assign each a dedicated non-human identity on LoginMaster.
- 2
Issue dedicated credentials
Replace shared secrets and static keys with protected per-agent credentials and dual-signature tokens, independently revocable.
- 3
Enforce least privilege
Scope each AI agent's permissions per project and per tenant, isolating scopes with dedicated cryptographic keys.
- 4
Monitor and audit
Track AI agent access and forward events to your SIEM to detect anomalous behavior and quickly revoke risky credentials.
Bring AI agents under control
Discover how LoginMaster assigns verifiable identities, protected non-human credentials and least-privilege permissions to your AI agents. Request a personalized demo.
AI agent identity frequently asked questions
An AI agent identity is a non-human identity associated with an agent, automation or workload that acts on your systems. Like a user, it has its own credentials, is authenticated, receives scoped permissions and has its actions tracked.
Non-human identities belong to software — AI agents, services, bots, automations — not people. They are often far more numerous, act without direct supervision and use programmatic credentials, which is why they require strict least privilege, rotation and audit.
LoginMaster assigns each AI agent a dedicated identity with credentials protected via split-salt and Argon2 and validated by dual-signature tokens. Credentials are per-agent, isolated per tenant and independently revocable.
Yes. Access policies are enforced at the individual project level: each AI agent gets only the permissions needed for its scope. Per-project and per-tenant separation enforces least privilege and contains the impact of a possible compromise.
AI agents integrate via the TypeScript and .NET SDKs and REST API: your services assign identities and authenticate agents in a standard way, without rewriting your existing infrastructure.
Yes. Verifiable identities, least privilege, per-tenant data isolation and audit of AI agent access support the security and data protection requirements of GDPR, NIS2 and ISO 27001.