[IA]
Securing AI identities
Ident1ty secures the identities and accesses of your AI agents so that automation does not become a vulnerability.
Why most AI identity projects create security risks?
AI agents who access your critical systems
AI agents interact with your sensitive data, APIs and infrastructures. Without governance, each agent is an open door.
Invisible and uncontrolled machine identities
Unlike humans, AI agents have no badges. Their accesses are rarely inventoried, never revoked.
A regulation that does not forgive
Nis2, Dora, AI Act, regulators require full traceability of automated access. Without AI governance, compliance is impossible.
How IDENT1TY secures AI identities where others fall short
AI agents generate thousands of non-human identities invisible to traditional solutions. Our approach was built for this challenge from day one.
Total visibility on non-human identities
Automatic mapping of every AI agent, service account and API token, including those created dynamically at runtime.
Lifecycle-adapted governance
Access policies aligned with AI workload ephemerality: just-in-time access, automatic secret rotation, immediate revocation.
Multi-vendor independence
Compatible with OpenAI, Azure AI, Bedrock, Vertex AI and any on-premise model. No lock-in to a proprietary ecosystem.
Measurable results within 30 days
Quantified attack surface reduction, CISO and auditor-ready reporting included in every engagement.
What we do today
We help organisations identify, classify and govern AI agents as full digital identities in their own right.
Mapping · Governance · IAM · IGA- Mapping of all AI agents in use across the organisation, including official, experimental or undeclared agents
- Definition of a governance model specifying the owner, scope, risk level and purpose of each agent
- Implementation of creation, validation, modification and decommissioning rules for AI agent identities
- Alignment of AI agent governance with existing IAM, IGA, PAM, cloud security and machine identity policies
We secure the access granted to AI agents to limit excessive privileges and the risk of unauthorised actions.
Least privilege · Permissions · Zero Trust- Definition of access models based on least privilege, context, agent role and action criticality level
- Implementation of granular permissions across applications, APIs, data, internal tools and cloud environments
- Sensitive actions governed through human approval, temporary access and conditional rules
- Reduction of privilege escalation, lateral movement and indirect access risks through agent chains
We protect the secrets used by AI agents to prevent leaks and hidden credential dependencies.
API Keys · OAuth · Rotation · Vaulting- Secure vaulting of API keys, OAuth tokens, certificates, service accounts and secrets used by AI agents
- Implementation of rotation, expiry, revocation and scope-limiting policies for credentials
- Removal of secrets exposed in prompts, memory, logs, configuration files or code repositories
- Strict separation of credentials by agent, environment, application, risk level and business use
We enable organisations to know precisely what an AI agent did, with what rights and on what data.
Logging · SIEM · Audit · Accountability- Full logging of AI agent actions: access, queries, API calls, modifications, decisions and executions
- Correlation of AI events with SIEM, SOC, ITSM, PAM, IAM tools and existing monitoring platforms
- Implementation of detection controls for abnormal behaviour, destructive actions or unauthorised access
- Production of audit evidence tracing accountability between user, agent, tool and action performed
We help our clients secure autonomous action chains executed by AI agents.
Human-in-the-loop · Guardrails · Agentic AI- Analysis of agentic workflows to identify decision points, sensitive actions and critical dependencies
- Implementation of guardrails for high-impact actions: deletion, configuration changes, production access
- Control of tools accessible to AI agents to limit unnecessary or dangerous capabilities
- Definition of human-in-the-loop scenarios to enforce human validation before critical operations
We help organisations put in place a measurable control framework to secure AI agent usage.
NIST AI RMF · EU AI Act · Audit · Risk- Risk assessment of AI agents based on use cases, data handled, systems accessed and autonomy level
- Definition of internal policies governing usage, access, responsibilities and operational limits of AI agents
- Implementation of compliance dashboards covering agents, their rights, actions, exceptions and incidents
- Alignment of controls with AI security and risk management frameworks, including NIST AI RMF approaches
Our numbers talk for us
28
Years of experience
+100
Active Certifications
76
Projects deployed in 2025
17
Countries covered
+40
IAM/PAM/IGA certified experts
Use cases
AI agent for identity service desk assistance
Automated processing of level-1 access requests under human supervision, with compliance guardrails.
The identity service desk was handling a high volume of repetitive requests, leaving IAM teams little time for high-value work.
Security leadership wanted to pilot an AI agent capable of absorbing level-1 volume without degrading compliance or replacing human oversight on sensitive decisions.
Another use case, another challenge.
AI decision-support agent for access reviews
Contextual recommendations and risk scoring to transform IGA campaigns into qualitative reviews.
Access review campaigns suffering from mass, undifferentiated validation. Managers validating hundreds of rights with no real analysis.
The challenge was to restore meaningful reviews without increasing workload, by leveraging available data to focus attention on genuinely risky access.
How Ident1ty works on your project AI
Solution integrator
We deploy your solution from A to Z
Continuous Support & Managed Services
We maintain and optimize your AI environment
Success Plan
A dedicated CSM to support you.
AI Security Strategy
We define your AI identity governance framework, mapping agents, securing access, and ensuring compliance before risks emerge.
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