[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
01
Mapping and governance model
  • 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
02
Lifecycle rules and alignment
  • 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
01
Access models and granular permissions
  • 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
02
Sensitive action controls
  • 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
01
Vaulting and rotation policies
  • 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
02
Elimination of exposed secrets
  • 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
01
Logging and correlation
  • 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
02
Detection and audit evidence
  • 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
01
Analysis and guardrails
  • 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
02
Tool control and human validation
  • 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
01
Risk assessment and internal policies
  • 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
02
Compliance dashboards and regulatory alignment
  • 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 AgentsUniversal bank

AI agent for identity service desk assistance

Automated processing of level-1 access requests under human supervision, with compliance guardrails.

6 months
6,000 requests / month
ITSM · IGA · AI · DORA

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.

High-value tasks constantly pushed back by repetitive ticket volume
Multi-hour SLAs on trivial requests, a major frustration for end users
ACPR and DORA compliance risk from ungoverned automation
Need to preserve human oversight on sensitive decisions and end-to-end cryptographic governance
01Mapping of automatable level-1 request types and definition of compliance guardrails
02Design of an AI agent with automatic escalation to a human operator for sensitive or ambiguous cases
03Integration into the existing ITSM with full logging of every decision for audit purposes
04Implementation of a documented AI governance framework aligned with DORA and ACPR requirements
05Pilot on 20% of requests with progressive validation before full rollout
65% of level-1 requests processed automatically without human intervention
Average SLA reduced from 4 hours to 15 minutes on automated requests
100% of decisions auditable with full accountability chain traceability
IAM teams freed to focus on high-value projects
AI governance framework validated by compliance teams and presented to the regulator
65%
Level-1 requests automated
4h → 15min
Average user SLA
100%
Auditable decisions

Another use case, another challenge.

AI AgentsInsurance — joint group

AI decision-support agent for access reviews

Contextual recommendations and risk scoring to transform IGA campaigns into qualitative reviews.

5 months
9,000 employees · 250 applications
IGA · AI · Scoring · Compliance

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.

Managers with no time or context to analyse each right individually
Usage logs, right age, peer comparisons — signals available but unexploited
Strong explainability requirement from internal audit
Goal to assist decision-making, not automate it
01Development of a scoring engine leveraging usage logs, right age and peer comparisons
02Recommendations embedded directly in the existing IGA review interface, without changing the tool
03Each recommendation accompanied by a human-readable explanation and a full audit trail
04Manager remains the decision-maker; agent proposes, human validates or overrides. Model improves progressively from validated decisions
45% increase in at-risk rights correctly revoked from the first campaign with scoring
40% reduction in manager time per review campaign thanks to contextual recommendations
100% of recommendations explainable and traceable, validated by internal audit
Campaign completion rate up from 68% to 94% through simplified interface
Continuously improving model, recommendation accuracy increasing with each campaign
+45%
At-risk rights revoked
−40%
Manager time per review
100%
Explainable recommendations

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.

Our technology partners

BeyondTrust CyberArk Delinea Saviynt Okta Silverfort Secomea Sphere Devolutions Zilla

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