Identity security tool sprawl is driving platform consolidation

At a glance

What this is: ESG research shows identity security is becoming a consolidation problem, with teams trying to unify visibility across workforce identities, NHIs, and AI agent access.

Why it matters: This matters because IAM, NHI, and PAM teams are being forced to decide whether fragmented point tools can still deliver governance, or whether platform consolidation is now the more practical operating model.

By the numbers:

• ESG surveyed 370 IT and cybersecurity decision-makers across multiple industries, mostly organisations with at least 1,000 employees.
• 70% of teams plan to expand usage of an existing tool to cover a new use case in the next 12-18 months.
• 62% of organisations plan to implement a net new tool to satisfy a use case.
• 91% of organisations surveyed consider identity security one of their top five priorities in the next 12-24 months.

👉 Read Silverfort's analysis of ESG identity security research

Context

Identity security tool sprawl is no longer just an operational nuisance. When teams have separate products for MFA, NHI security, ITDR, and adjacent controls, visibility breaks across identities, environments, and policy domains, which makes it harder to understand what any identity is accessing or doing.

The article’s central claim is that consolidation is becoming a governance requirement, not a procurement preference. That matters across human IAM, NHI governance, and emerging AI agent oversight because the same control problem keeps repeating: fragmented telemetry produces fragmented decisions, and fragmented decisions produce weak identity assurance.

Key questions

Q: How should security teams reduce identity tool sprawl without losing control quality?

A: Start by mapping every identity control to a clear owner, a clear data source, and a clear decision point. Then remove duplicate tooling where two products answer the same question differently. The goal is not fewer products on paper. It is faster, more reliable identity decisions across workforce, NHI, and privileged access.

Q: Why does NHI growth make identity consolidation more urgent?

A: NHIs increase the number of identities that must be governed outside human login workflows, which makes fragmented tools harder to operate safely. Service accounts, API keys, and tokens create access paths that must be visible alongside workforce identity data. Consolidation becomes urgent because the control problem is no longer limited to one identity type.

Q: What do security teams get wrong about platform consolidation in identity security?

A: They often focus on product count instead of decision quality. A smaller stack is only useful if it improves visibility, correlation, and enforcement across identity types. If the new platform still leaves manual stitching between logs, entitlements, and privileged activity, the governance problem remains.

Q: How can organisations tell whether identity security is still too fragmented?

A: If analysts need multiple consoles to answer basic questions about access, privilege, and activity, the programme is still fragmented. Another signal is when ownership differs across tools and no one can explain who is accountable for a single identity event end to end. That is a governance gap, not just a tooling issue.

Technical breakdown

Why identity tool sprawl creates visibility gaps

Identity tool sprawl occurs when separate products manage related control functions without a common data model or enforcement plane. In practice, that means MFA, access intelligence, NHI security, and detection tooling each see only part of the identity story. The result is poor context: teams can authenticate a user, inspect a service account, or flag a risky session, but not easily connect those events across the identity lifecycle. That is why tool count alone is a poor maturity metric. The real issue is whether the programme can correlate access, privilege, and activity across human and machine identities in one operational view.

Practical implication: map where identity decisions are still made in separate consoles, then prioritise correlation before adding another point tool.

What changing NHI and AI agent usage means for identity architecture

Non-human identities such as service accounts and API keys already force teams to govern credentials that never log in like a person. AI agents add another layer because they may act with runtime decision-making that changes how access is requested, used, and delegated. Even when the identity subject is not fully autonomous, the control model has to follow the actor’s behaviour rather than the label on the system. That makes identity architecture a governance problem about context, ownership, and policy continuity rather than only authentication. The more diverse the identity estate becomes, the more dangerous it is to keep separate tools for each domain.

Practical implication: design your identity stack around actor type and lifecycle state, not around whether the workload happens to be human-facing or machine-facing.

Consolidation is really about decision quality, not vendor count

The operational promise of consolidation is not simply fewer products. It is better decisions because the programme can see entitlement, privilege, and usage in one place. ESG’s findings show that many teams are already reacting to complexity by extending current tools or adding new ones, which often increases overlap unless the architecture is intentionally rationalised. For identity governance, the useful question is whether a platform can reduce blind spots across access reviews, NHI oversight, and privileged activity without collapsing distinct control requirements into a generic dashboard.

Practical implication: evaluate consolidation by the quality of identity decisions it improves, not by how many tools it replaces.

Threat narrative

Attacker objective: The attacker objective is to exploit identity blind spots created by fragmented visibility and inconsistent governance across tools.

1. Entry begins when identity coverage is fragmented across multiple tools, leaving gaps between authentication, entitlement, and monitoring views.
2. Escalation follows when teams cannot correlate human and non-human access patterns quickly enough to distinguish legitimate use from overreach or misuse.
3. Impact is reduced governance quality, where blind spots persist across NHI sprawl, AI agent activity, and workforce access decisions.

Breaches seen in the wild

• Moltbook AI agent keys breach — Moltbook breach exposed 1.5M AI agent keys.
• Cisco DevHub NHI breach — IntelBroker exploited exposed Cisco credentials, API tokens and keys in DevHub.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Identity tool sprawl is now a governance failure, not just an efficiency problem. When teams manage MFA, NHI security, and identity threat detection in separate stacks, they create control gaps between ownership, visibility, and enforcement. That gap matters because identity risk is rarely isolated to one product domain. Practitioners should treat sprawl as an architecture defect that weakens every downstream identity decision.

Non-human identity growth is forcing IAM programmes to abandon person-first assumptions. Service accounts, API keys, and token-based workflows do not fit neatly inside tools designed around user login flows. The practical result is that visibility, review, and response have to follow the identity’s lifecycle and usage pattern, not just the authentication event. Identity governance teams should expect NHI controls to become part of core IAM rather than a specialist side function.

Agentic AI extends the same fragmentation problem into a new category of identity. The article’s signal is not that AI agents need a separate silo, but that identity governance must decide how runtime behaviour, delegation, and accountability are represented in one operating model. That makes cross-domain governance the real differentiator. Security teams should prepare for identity platforms that unify policy without flattening the distinct controls each actor type requires.

Consolidation only works when it improves the identity decision path. A single platform is useful only if it joins visibility, context, and enforcement across human, NHI, and AI agent activity. Otherwise, consolidation simply re-bundles the same blind spots into a larger product surface. Practitioners should measure whether the programme can answer who accessed what, through which identity, under which policy, and with what privilege in one workflow.

Fragmented identity stacks create the hidden blast radius of modern infrastructure. The more tools a programme uses to cover identity security, the more likely it is that ownership, telemetry, and remediation become misaligned. That is why board-level conversations about identity security increasingly turn into platform decisions. Teams should use the current consolidation wave to rebuild operating clarity, not just to reduce license counts.

From our research:

• 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools, according to Ultimate Guide to NHIs.
• 71% of NHIs are not rotated within recommended time frames, increasing the risk of compromise over time.
• For the control backdrop, see Ultimate Guide to NHIs , Key Challenges and Risks for the visibility and sprawl problems that make consolidation harder.

What this signals

Tool consolidation will become more compelling as identity estates keep expanding across humans, NHIs, and AI agents. The operational pain is not abstract. If 96% of organisations still store secrets outside secrets managers, the identity stack is already compensating for poor control placement rather than preventing it. Teams should expect governance demands to rise faster than point solutions can absorb them, which makes architecture rationalisation a priority.

Identity programmes should treat platform choice as a decision-quality question. A consolidated stack is only useful if it improves entitlement context, review workflows, and incident response across identity types. Otherwise, the programme simply moves fragmentation into a new product wrapper. Security leaders should test whether access questions can be answered without manual correlation across systems.

As NHIs and AI agents grow, the hidden cost is not just scale but governance drift. The article points to a market where buyers want platforms that can see across the full identity estate, but practitioners should not assume bundling alone resolves accountability. Teams need a clear operating model for who owns access, who reviews it, and who can act when identity behaviour changes.

For practitioners

• Rationalise identity control ownership across stacks Document which team owns authentication, entitlement, NHI oversight, and detection for each identity class. Remove overlap where two tools make competing decisions about the same identity event.
• Build a single identity visibility model Unify logs and entitlement data so analysts can see workforce access, service account usage, and agent activity in one investigation path. Separate data sources are acceptable only if the correlation layer is reliable.
• Classify identities by actor type and lifecycle Separate humans, NHIs, and AI agents in governance workflows, then apply the right ownership and review process to each. Do not let one generic policy obscure the different review cadence each actor requires.
• Use consolidation reviews to remove control gaps When evaluating tool overlap, check whether any existing product leaves blind spots in access reviews, privilege usage, or offboarding. Prioritise the gaps that affect the most identities first.
• Tie procurement to decision quality metrics Measure whether the current stack can answer access questions without manual stitching across consoles. If analysts still need multiple systems to determine who acted, the architecture is not yet consolidated enough.

Key takeaways

• Identity security sprawl is now an operational governance issue because fragmented tools obscure access, privilege, and activity across identity types.
• ESG’s findings show that most teams are already expanding or replacing tools, which signals that current identity architectures are under strain.
• The next step is not simply consolidation, but building a decision model that preserves visibility and accountability across human, NHI, and AI agent access.

Key terms

• Identity Tool Sprawl: The accumulation of separate tools that each govern a slice of identity security without shared context or consistent enforcement. It creates operational blind spots because teams must stitch together access, activity, and entitlement data manually, which weakens governance across human and non-human identities.
• Non-Human Identity: A machine or software identity used by systems rather than people, such as service accounts, API keys, tokens, certificates, and workload identities. In practice, NHIs need lifecycle governance, visibility, and privilege control because they often outnumber human identities and are easier to overlook.
• Identity Decision Quality: The reliability of the decisions a security programme can make about who or what has access, what that access means, and whether it is still appropriate. High decision quality depends on complete context, consistent ownership, and the ability to correlate activity across identity types.
• Agentic AI Identity: An identity pattern for AI systems that can act with some degree of independent runtime decision-making and tool use. Compared with static machine identities, agentic identities require additional governance around delegation, accountability, and how policy follows behaviour rather than just credentials.

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 governance maturity, it is worth exploring.

This post draws on content published by Silverfort: Identity Security at a Crossroads: Balancing Stability, Agility, and Security. Read the original.