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Whitepaper

How to Stay in Control of Your AI, Copilot and Machine Identities

Learn how to stay in control of AI, Copilot and machine identities with continuous visibility, risk detection and governance.

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Continuous visibility, risk detection and governance for the new wave of non-human identities entering your enterprise.

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Executive Summary

AI, Copilot, and automated agents introduce a growing number of non-human identities with access to critical systems and data. Without clear visibility and governance, these identities create security and compliance risks.

This white paper explains how organisations can regain control through continuous visibility and identity governance, enabling secure and responsible AI adoption.

Why Identity Governance Matters

AI, Copilot, and automated agents are rapidly becoming part of everyday business operations. While these technologies improve productivity and automation, they also introduce new identity and access risks. Beyond human users, organizations now manage a growing number of non-human identities that access systems and data continuously.

Without proper identity governance, these identities can create blind spots, excessive permissions, and compliance challenges. Strong identity governance ensures that access remains controlled, auditable, and aligned with security and regulatory requirements as AI adoption accelerates.

Why Traditional IAM Falls Short

Traditional Identity and Access Management solutions were designed primarily for human users. As a result, they often lack visibility into AI and machine identities. Many organizations struggle with shadow applications, long-lived credentials, and over-permissioned service accounts that fall outside standard governance processes.

When AI agents are able to act autonomously, these gaps significantly increase risk. Without continuous visibility and governance, organizations cannot reliably enforce least privilege or maintain accountability.

The AI Identity Governance Blueprint

Effective AI identity governance starts with visibility. Organisations must first discover and understand AI and machine identities and the access they hold. From there, risks such as excessive permissions and unused identities can be identified and addressed.

A structured governance approach ensures clear ownership, regular reviews, and continuous monitoring. By embedding AI identities into existing identity governance processes, organisations can maintain control while supporting innovation.

5 Tips to Stay in Control of Your IAM

To securely manage AI-driven access, organisations should focus on a few key principles. Maintain clear visibility across all identities, apply least-privilege access consistently, and ensure ownership and accountability for non-human identities. Continuous monitoring and regular reviews help prevent access sprawl and support long-term compliance.

By strengthening identity governance, organisations can adopt AI and Copilot technologies with confidence while protecting critical systems and data.

What is IVIP?

Introduced by Gartner, Identity Visibility and Intelligence Platforms (IVIP) form a new category alongside Identity Governance and Administration (IGA).

An Identity Visibility and Intelligence Platform (IVIP) provides a unified, accurate view of who can access what across all systems.

By integrating with existing IAM, PAM, and IGA tools and applying advanced analytics, an IVIP consolidates identity data into a single, trusted source of truth.

This visibility enables organizations — whether they are just beginning their identity security journey or already operating mature IAM programs — to strengthen security, streamline compliance, and make informed, data-driven access decisions.

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