Topic starter
11/11/2026 6:05 pm
TL;DR: Shadow AI, browser extensions and agentic identities stay invisible until organisations surface them in inventory and identity systems, WithSecure says. Without that visibility, data exposure and privilege sprawl begin before governance can act.
Editorial analysis by NHI Mgmt Group, based on content published by WithSecure: “Introducing AI Security in WithSecure™ Elements: Seeing Shadow AI Before It Becomes a Breach”.
Key questions
Q: Why do AI browser extensions create higher data exposure risk than standard extensions?
A: AI browser extensions often request broad access to page content, messages, or input fields so they can provide context aware features.
Q: How should teams govern agent credentials in production?
A: Treat each agent credential as a governed identity with a clear owner, a narrow role, and a defined expiry.
Q: How do organisations stop shadow AI from creating access and data exposure risk?
A: Organisations need explicit usage policy, service discovery, and data access boundaries so employees know what is approved and what is not.
Practitioner guidance
- Build a unified AI inventory Surface shadow AI, browser extensions and AI-linked identities in the same discovery process so security and IAM teams can see them together.
- Review browser extension permissions Identify extensions that can read or modify content across sites, then classify them by data reach and runtime behaviour.
- Map AI identities to owners Tie AI agents, assistants and coding tools to accountable business owners, named approvers and explicit access scope.
Bottom line: Shadow AI becomes a governance issue when it sits outside inventory, browser monitoring and identity visibility.
Glossary terms: Shadow AI, Agentic Identity, Browser Extension, Software inventory
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11/11/2026 6:06 pm
Shadow AI is now an inventory problem before it is a policy problem. Security teams cannot govern tools that sit outside discovery, and browser-delivered AI makes that gap larger because it bypasses traditional software deployment paths. The practical consequence is that AI governance starts with asset visibility, not with approval workflows or policy wording.
A few things that frame the scale:
- Only 5.7% of organisations have full visibility into their service accounts, according to the Ultimate Guide to NHIs.
A question worth separating out:
Q: What is the difference between application inventory and identity inventory in AI environments?
A: Application inventory tells you what software exists, while identity inventory tells you what can act, what it can reach, and under which delegated trust relationships. In AI-heavy environments, the second view is the one that exposes real security risk.
👉 Read our full editorial: Hidden AI tools need visibility before they can be governed