TL;DR: Only 19% of organisations have fully unified IT, while AI adoption is near universal and security concerns around non-human identities, system integration, and misuse are rising, according to JumpCloud’s Q3 2025 IT Trends Report based on a survey of 828 IT leaders in the U.S. and U.K. JumpCloud’s findings show that consolidation, visibility, and identity governance are now linked problems, not separate programmes.
NHIMG editorial — based on content published by JumpCloud: Q3 2025 IT Trends Report
By the numbers:
- Only 19% have achieved full IT unification.
- IT professionals said the top three benefits of IT consolidation were an improved user experience (55%), increased job satisfaction among IT staff (54%), and a better focus on strategic work (51%).
- JumpCloud surveyed 828 IT leaders in the U.S. and U.K. at a 50/50 split.
Questions worth separating out
Q: How should teams reduce identity risk when IT environments stay fragmented?
A: Start by identifying every place where access can be granted, changed, or revoked, then remove duplicate approval paths and orphaned controls.
Q: Why do fragmented IT environments make zero trust harder to enforce?
A: Zero trust depends on continuous verification across a complete access path.
Q: How do security teams govern AI systems that use internal credentials?
A: Treat them as identity-bearing workloads with named owners, explicit access boundaries, and reviewable entitlements.
Practitioner guidance
- Inventory identity control points across the stack Map where authentication, authorisation, access review, and secrets handling occur across HR, IAM, PAM, cloud, and AI-connected systems.
- Consolidate visibility before consolidating policy exceptions Bring logs, entitlement data, and workload access signals into a shared view so that review teams can trace human and non-human access in one place.
- Classify AI-connected systems as identity-bearing workloads Assign ownership, access boundaries, and review cadence to every AI integration that can reach internal data or tools.
What's in the full report
JumpCloud's full report covers the operational detail this post intentionally leaves for the source:
- The full survey breakdown across U.S. and U.K. IT leaders in the 200-2,500 employee range.
- Methodology details on respondent roles, sector mix, and survey timing that help you judge how representative the findings are.
- The complete split of IT priorities, including unification, Zero Trust, AI, automation, and MSP usage.
- JumpCloud’s own framing of the pressures shaping IT strategy across consolidation and automation.
👉 Read JumpCloud's Q3 2025 IT Trends Report on IT consolidation, Zero Trust, and AI risk →
IT consolidation and AI identity risk: what should teams do now?
Explore further
IT consolidation is now an identity security problem, not just an operations problem. When only 19% of organisations have fully unified IT, the control surface is still too fragmented for reliable identity governance. That fragmentation matters across human IAM, NHI security, and AI governance because access decisions lose consistency when the evidence is split across tools. Practitioners should read consolidation as a control architecture decision, not a procurement preference.
A few things that frame the scale:
- Only 13% of organisations feel extremely prepared for the reality of agentic AI despite the majority racing toward autonomous adoption, according to the 2026 Infrastructure Identity Survey.
- 69% of security leaders agree identity management must fundamentally shift to address agentic AI systems, which is why old lifecycle assumptions are already under strain.
A question worth separating out:
Q: What should organisations measure to know if identity consolidation is working?
A: Measure whether teams can answer access questions faster, trace entitlements across fewer systems, and reduce the number of exceptions that exist only because controls are split apart. If governance still depends on manual reconciliation, consolidation has not yet produced real control improvement.
👉 Read our full editorial: IT consolidation, zero trust, and AI identity risks are converging