06 — AI

AI Security & AI Identity

AI for IAM. IAM for AI. Every copilot, agent and model integration acts through an identity — we make sure it is discovered, owned, least-privileged, vaulted, recorded and retired.

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The problem

What we see in the field

Copilots, agents and model integrations are being connected to production systems with broad standing rights, shadow API keys and no audit trail — while identity teams are still running manual certification campaigns.

Why it matters

The business case

Ungoverned AI identities become the fastest path to privilege abuse. At the same time, AI can remove much of the manual effort from identity operations. Both directions matter.

Capabilities

What we deliver

Intelligent access reviewsEntitlements in plain business language, risk-ranked, with low-risk items auto-certified.
Privileged session analyticsML baselines of privileged behaviour flag anomalous commands and lateral movement while the session is live.
Role mining & SoD intelligenceClustering proposes a clean role model and detects toxic combinations.
Self-service & ticket deflectionConversational agents handle resets, access requests and JIT elevation with policy checks in the flow.
Automated discovery & onboardingBots discover and classify privileged and service accounts and drive them into the vault.
Predictive health & auto-remediationAnomaly detection on connectors, CPM jobs and reconciliation with self-healing runbooks.
Discover shadow AI identitiesEvery API key, OAuth grant and token used by AI tools and agents.
Vault & rotate agent secretsShort-lived credentials issued from the PAM vault, never exposed in prompts, logs or model context.
Least privilege & JIT for agentsTask-scoped entitlements with time-boxed elevation and SoD checks.
Human ownership & approvalHuman-in-the-loop gates on high-risk and irreversible actions.
Session recording & audit evidenceA replayable record of what the AI did, with which identity, on which target.
AI governancePolicy, guardrails and evidence for AI use across the enterprise.

AI & Identity: two directions

AI for IAM. IAM for AI.

AI that runs your IAM

Automation and machine learning applied across the identity lifecycle.

IAM that secures your AI

Proven IAM and PAM controls extended to agents, copilots and models.

AI for IAM

AI-powered IAM & PAM operations

We apply AI and automation across the identity lifecycle to cut manual effort, shorten access decisions and surface risk earlier.

Intelligent access reviews

Entitlements translated into plain business language, risk-ranked for the reviewer and low-risk items auto-certified — ending rubber-stamped campaigns.

Privileged session analytics

ML baselines of normal privileged behaviour flag anomalous commands, off-hours vaulting and lateral movement to the SOC while the session is still live.

Role mining & SoD intelligence

Clustering across entitlement data proposes a clean role model and detects toxic combinations before they become audit findings.

Self-service & ticket deflection

Conversational agents handle password resets, access requests and JIT elevation with policy and approval checks enforced in the flow.

Automated discovery & onboarding

Bots continuously discover privileged and service accounts, classify them by risk and drive them through vault onboarding.

Predictive health & auto-remediation

Anomaly detection on connectors, CPM jobs and reconciliation failures, with self-healing runbooks that fix issues before users raise a ticket.

Identity data
AI / ML
Risk intelligence
Access decision
Automated action

Outcomes we target: materially lower manual effort in access certification • significant L1 identity ticket deflection • privileged account onboarding in hours, not weeks • faster detection of privileged misuse

IAM for AI

You cannot govern AI you cannot identify

Every copilot, agent, LLM integration, AI workload and API acts through an identity. Ungoverned, those identities become the fastest path to privilege abuse. These are the questions we help you answer for every one of them.

AI applications
AI agents
Copilots
LLMs
AI workloads
APIs
Machine identities
Service identities
AI integrations

Who is the AI acting as?
What can it access?
What privileges does it have?
What data can it reach?
What actions can it perform?
Who approved those actions?
How long should access remain active?
How is access revoked?

Securing AI with IAM

The AI identity lifecycle

Every AI agent treated as a first-class identity — discovered, owned, least-privileged, vaulted, recorded and retired.

DiscoverFind AI agents, API keys, OAuth grants, tokens and service accounts across cloud, SaaS, code and on-premises.
AssignOwner, purpose, risk tier and accountable business service.
VaultAgent credentials issued from the PAM vault — short-lived and rotated, never in prompts, logs or model context.
LimitTask-scoped access, least privilege and JIT elevation with SoD checks.
ApproveHuman-in-the-loop approval for high-risk or irreversible actions.
EvidenceRecord identity, target, action and outcome — replayable.
RetireRevoke and decommission orphaned AI identities.

AI identity risk & control matrix

Emerging AI identity risk, mapped to controls a CISO can evidence today

AI identity risk	Why it matters to the business	HSD control
Over-privileged AI agentsAn agent is given broad standing admin rights so an integration “just works”.	One compromised or manipulated agent inherits enterprise-wide blast radius.	Role-scoped agent identities, just-in-time elevation and SoD enforcement in PAM.
Shadow AI credentialsAPI keys and OAuth grants created outside IT for copilots and integrations.	Unknown, unrotated and unmonitored access paths into production data.	Continuous discovery, secrets scanning across repos and pipelines, forced vault onboarding.
Hard-coded secretsKeys embedded in prompts, notebooks, agent configs and container images.	Credential leakage through logs, model context and third-party providers.	Central secrets management with ephemeral, injected credentials — never stored in code.
Prompt-driven escalationA manipulated agent is coaxed into using its access for unintended actions.	Data exfiltration or configuration change with no human intent behind it.	Policy enforcement at the access layer, command filtering, approval workflows, live session control.
Non-human identity sprawlAgent and service accounts outlive the project that created them.	Persistent unowned access and repeat audit findings.	NHI lifecycle governance, ownership attestation, automated decommissioning.
No audit trail for AI actionsAgent activity is attributed to a shared service account.	You cannot answer “who did this” for a regulator or an incident review.	Per-agent identity, full session capture and immutable, replayable audit evidence.

Technology ecosystem

Platforms we deliver on

Select a logo to visit the vendor’s website.

CygeniqCygeniqTechnology EcosystemAI-native security platform for AI security, AI governance and AI-native threat detection — security for AI and AI for security.

Delivery approach

How we deliver

01AssessCurrent state, risk and gaps
02DesignTarget architecture and roadmap
03ImplementBuild, integrate and test
04OperateRun, monitor and support
05OptimizeMeasure and improve continuously

Outcomes

What changes for you

Materially lower manual effort in access certification
Significant L1 identity ticket deflection
Faster detection of privileged misuse
Every AI agent treated as a first-class identity
Audit evidence for AI actions regulators are starting to ask for

Identity & Access Management Strategy, implementation and managed operations for workforce and customer identity — governance, lifecycle, SSO, MFA and directory services delivered end to end. Privileged Access Management End-to-end PAM across CyberArk, BeyondTrust, Delinea, ARCON, Sectona and ManageEngine PAM360 — from strategy and vendor selection to 24x7 managed operations. Machine & Non-Human Identity Security Discover, own, vault and retire the service accounts, workload identities, API keys and AI agents that now outnumber people in your enterprise.