Identity governance trends for 2026: NHI sprawl, AI attacks, trust

At a glance

What this is: Clarity Security frames 2026 as a year where NHI growth, AI attacks, and identity-first controls reshape governance priorities.

Why it matters: IAM teams must account for faster-spreading non-human identities, more automated attack pressure, and tighter alignment between identity governance, access control, and monitoring across human and machine estates.

By the numbers:

• Non-human identities have increased to a 144:1 ratio, marking a 44% increase from 2024 to 2025.
• AI-powered cyber attacks increased 47% globally in 2025.
• 78% of CISOs reported that AI threats are having a significant impact on their businesses.

👉 Read Clarity Security's 2026 IAM trends analysis for NHI and identity-first security

Context

Identity governance is the discipline of deciding who or what should have access, for how long, and under what conditions. In this article, the core problem is that identity environments are expanding faster than manual governance processes can control them, especially as non-human identities and AI-driven attacks increase the number and speed of access decisions.

The article also connects identity governance to broader operational resilience. That matters because security teams now have to manage human users, machine identities, and AI-enabled attack pressure in one control model, rather than treating each as a separate programme or afterthought.

Key questions

Q: How should security teams govern non-human identities at scale?

A: Security teams should govern non-human identities through continuous discovery, lifecycle ownership, entitlement review, and automated drift detection. The goal is to know which identities exist, which systems they can reach, and whether that access still matches the business need. Manual certification alone cannot keep up with machine-scale sprawl.

Q: Why do AI-driven attacks force changes in identity governance?

A: AI-driven attacks compress the time available to detect misuse and reduce access. That means identity governance must support faster signals, tighter privilege scope, and automated remediation. If approval cycles are slower than attacker movement, the governance model is already behind the threat.

Q: What do security teams get wrong about identity-first security?

A: Teams often treat identity-first security as a policy change when it is really an operating model change. Identity must become the main control plane for access decisions across human users, service accounts, cloud workloads, and AI-enabled processes. If identity remains a separate admin function, the programme stays reactive.

Q: How can organisations reduce risk from shadow IT and unmanaged bots?

A: Organisations should standardise application onboarding, require ownership for every new identity, and monitor for access drift in real time. Shadow IT becomes dangerous when unmanaged applications create persistent identities outside governance. Reducing risk means making every identity discoverable, reviewable, and attributable.

Technical breakdown

Why non-human identity sprawl breaks manual governance

Non-human identity sprawl occurs when service accounts, bots, API keys, and agent accounts multiply faster than teams can inventory and review them. The governance problem is not just count, but drift: identities keep access after the original use case has changed. When entitlements are hidden inside nested permissions, access reviews miss the real blast radius. In practice, that means the environment can look controlled while unmanaged identities still retain high-risk access across cloud, hybrid, and on-prem systems.

Practical implication: build continuous discovery and entitlement review for NHIs, not periodic spreadsheet-based certification.

How AI-driven attacks change the access control model

AI-driven attacks increase both speed and precision, which compresses the time defenders have to detect misuse and revoke access. That changes the control model from static protection to rapid response. Zero Trust Architecture and context-aware access matter here because attackers can exploit legitimate identities, manipulate trust signals, or move through overly broad permissions before manual remediation catches up. The key technical issue is that identity checks must be evaluated continuously, not only at login or provisioning time.

Practical implication: combine least privilege, contextual policy, and automated remediation so access can be reduced as fast as it is abused.

Why identity-first security treats access as a control plane

Identity-first security treats identity as the primary control layer rather than a byproduct of network location. That matters because modern environments are dynamic: cloud workloads, third-party integrations, and AI-assisted processes all create new access paths faster than perimeter controls can react. ABAC supports this model by making access decisions based on attributes such as role, device, context, and risk. The architectural shift is from static gatekeeping to an adaptive control plane that can govern both people and machines.

Practical implication: move identity policy closer to real-time context and reduce reliance on fixed assignments.

NHI Mgmt Group analysis

Non-human identity sprawl is now a governance problem, not a hygiene issue. Once machine identities outnumber human identities at this scale, inventory and certification processes stop being administrative tasks and become control limits. The article's 144:1 ratio shows that the access surface is now structurally shaped by NHIs, not just by workforce accounts. Practitioners should treat unmanaged service identities as a core governance domain, not a side inventory exercise.

Manual identity governance cannot absorb AI-driven attack velocity. The article's 47% rise in AI-powered attacks is not just a threat statistic, it is a timing problem for IAM. Ticket queues, delayed approvals, and human-paced remediation assume defenders have time to intervene. When attackers can move faster than the review cycle, access governance must be designed for automated detection and fast control changes.

Identity-first security is becoming the default operating model for mixed estates. The article correctly frames identity as the security perimeter because cloud, on-premise, third-party, and AI-enabled access paths now converge through the same trust layer. That convergence means governance teams cannot separate NHI controls from human access strategy or machine-assisted attack response. The implication is clear: identity architecture has to be designed as one control plane across all actors.

Legacy authentication assumptions are being stressed by machine scale and machine speed. Traditional governance models often assume that access is visible, reviewable, and slow enough to certify. That assumption holds poorly when identities are created programmatically, reused across systems, and abused within short attack windows. Practitioners should stop treating authentication, entitlement management, and monitoring as separate lanes and start aligning them around shared identity risk.

Identity data is moving from security evidence to business telemetry. The article's final theme is important because onboarding velocity, application usage, and access patterns are not just risk indicators, they are operational signals. That broadens the mandate of identity teams from control enforcement to measurement and insight. The practical conclusion is that identity programmes now need reporting that serves both security governance and business planning.

From our research:

• 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, according to The 2024 ESG Report: Managing Non-Human Identities.
• Enterprises that have experienced a compromised NHI averaged 2.7 separate incidents in the past 12 months, according to the same report.
• That is why practitioners should also compare their exposure with the Ultimate Guide to NHIs , Key Challenges and Risks when prioritising governance work.

What this signals

Identity teams should expect governance demand to shift from periodic review to continuous control. When NHIs expand faster than certification cycles, the programme has to behave more like a live control system than a compliance calendar. That is especially true where automated onboarding, third-party integrations, and AI-assisted workflows are all creating new identities faster than traditional queues can process them.

Non-human identity exposure is now common enough to require board-level reporting. The 72% breach-or-suspected-breach figure from our 2024 ESG Report: Managing Non-Human Identities shows that this is no longer an edge case. Teams need reporting that separates discovered identities, governed identities, and identities still outside lifecycle control.

Unified governance is the named gap this trend exposes. If human access, machine identity, and context-aware policy are still managed in different workflows, the organisation will miss privilege drift until after exposure. Practitioners should align identity data, access policy, and monitoring so they can govern the full estate as one control plane.

For practitioners

• Inventory every non-human identity continuously Establish automated discovery across cloud, hybrid, and on-premise environments so service accounts, bots, API keys, and agent identities are visible before they accumulate hidden privilege.
• Replace periodic reviews with nested entitlement checks Review indirect permissions and inherited access paths, not just top-level accounts, because hidden entitlements often carry the highest operational risk in sprawling identity estates.
• Automate remediation for high-risk access drift Trigger permission reduction or revocation when an identity's behaviour changes, rather than waiting for a manual ticket to clear, so attack windows stay short.
• Shift sensitive access to context-aware policy Use attribute-based controls for sensitive systems so access decisions can reflect role, device, location, and trust signals instead of static assignments.

Key takeaways

• Non-human identity growth is creating a governance problem that manual IAM processes cannot absorb.
• AI-driven attacks are shortening the defender response window, which makes automated remediation and continuous access control essential.
• Identity-first security only works when human, machine, and context-aware controls are governed as one operating model.

Key terms

• Non-Human Identity: A non-human identity is any digital identity used by software, services, workloads, bots, or agents rather than a person. It can include service accounts, API keys, tokens, and certificates. In governance terms, it must be lifecycle-managed because it can outlive the workflow or system that created it.
• Identity-first security: Identity-first security is an operating model that uses identity as the primary control plane for access decisions. Instead of treating the network boundary as the main line of defence, it uses identity, context, and entitlement data to govern access across cloud, on-premise, and third-party systems.
• Access drift: Access drift is the gap between the access an identity was originally meant to have and the access it actually retains over time. It often appears when permissions accumulate, roles change, or machine identities are never recertified. Left unchecked, drift creates hidden privilege and weakens governance evidence.
• Nested entitlement review: Nested entitlement review is the practice of checking inherited and indirect permissions, not just the top-level account or role. This matters because hidden group membership and delegated access can produce more privilege than the visible account record suggests. For NHIs, those indirect paths are often where risk hides.

What's in the full article

Clarity Security's full report covers the operational detail this post intentionally leaves for the source:

• The article's full breakdown of how each 2026 trend affects governance, security operations, and identity team workload.
• The report's specific recommendations for unified governance, continuous monitoring, and context-aware access.
• The article's examples of how identity data can support workforce planning and onboarding efficiency.
• The vendor's broader trend framing across NHI growth, AI attacks, authentication, and identity-first strategy.

👉 Clarity Security's full article expands the trend breakdown, examples, and recommended response areas.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity security are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are responsible for identity security strategy or programme maturity, it is worth exploring.