Unified identity fabric for AI and NHI: what it means for IAM teams

TL;DR: Siloed IAM and ITDR stacks are no longer enough when identities, secrets, and AI agents all expand the attack surface at once, as Unosecur closed a $5 million seed round, with an additional $3 million in oversubscribed commitments, while pushing a unified identity fabric for human, machine, and AI identities across hybrid environments.

NHIMG editorial — based on content published by Unosecur: Unosecur secures $5 million in seed funding to fortify identity security in the age of AI

By the numbers:

• It is not uncommon for today’s identity and access management stack to comprise 6 to 16 different tools operating in silos.
• Gartner observed that by 2025, 75% of all security failures will be caused by inadequate identity management.

Questions worth separating out

Q: How should security teams reduce identity silos across IAM, ITDR, and NHI tooling?

A: Start by mapping where identity data is created, duplicated, and acted on, then remove any workflow that requires manual handoff between tools before remediation can happen.

Q: Why do fragmented identity stacks create more risk for machine identities and AI agents?

A: Fragmentation creates inconsistent policy state, which means the same identity can be visible in one tool and still over-privileged in another.

Q: What do IAM teams get wrong about unified identity platforms?

A: They often assume aggregation alone solves governance.

Practitioner guidance

• Inventory identity control gaps across tool silos List where identity data is created, where it is reviewed, and where remediation actually happens.
• Separate static NHI controls from runtime agent controls Treat service accounts, API keys, and certificates as lifecycle-managed identities, but evaluate AI agent behaviour for tool use, escalation paths, and execution drift.
• Reconcile identity sprawl before adding more detection Measure how many IAM, ITDR, secrets, and access governance tools are already in use, then compare that with how many can share state in practice.

What's in the full analysis

Unosecur's full post covers the operational detail this post intentionally leaves for the source:

• The company’s framing of its unified identity fabric architecture and how it positions human, machine, and AI identities inside one platform model.
• Direct customer and investor commentary on why identity sprawl, ITDR silos, and hybrid IAM complexity are shaping buying decisions.
• The specific product and go-to-market plans funded by the seed round, including R&D priorities and geographic expansion.
• The vendor’s own explanation of how AI-driven monitoring and remediation are intended to work across identity types.

👉 Read Unosecur’s seed funding post on unified identity security for AI and NHI →

Unified identity fabric for AI and NHI: what it means for IAM teams?

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