TL;DR: Gartner says disconnected tools and isolated silos create an unmonitored IAM attack surface, and predicts that by 2028, 70% of CISOs will use an identity visibility and intelligence platform to reduce risks including credential compromise, ATOs, session compromise, and unauthorized access. The governance problem is no longer discovery alone, but whether visibility can drive timely remediation across human, machine, and emerging AI identities.
At a glance
What this is: This is a Zluri post summarising Gartner research on reducing IAM attack surface through visibility, observability, and remediation.
Why it matters: It matters because IAM teams need to connect discovery and remediation across human accounts, NHI sprawl, and AI-adjacent identity exposure before unmonitored access turns into compromise.
By the numbers:
- By 2028, 70% of chief information security officers (CISOs) will utilize an identity visibility and intelligence platform (IVIP) to shrink their IAM attack surface.
- Zluri is rated 4.7 based on 10 reviews as of 19th Nov 2025.
- Zluri is rated 4.6 with 26 Ratings in Gartner Peer Insights for SaaS Management Platforms.
👉 Read Zluri's summary of Gartner's IAM attack surface guidance
Context
IAM attack surface visibility is the core issue here: when identity data sits in disconnected tools and isolated silos, security teams cannot see who has access, what changed, or which entitlements should be removed. The article uses Gartner research to argue that those gaps create an unmonitored attack surface that spans identities, applications, roles, activity, and access.
For identity programmes, the practical problem is not just finding accounts. It is turning discovery into observability and then into remediation before credential compromise, account takeover, session compromise, or unauthorized access can take hold. That puts the discussion squarely in human IAM and NHI governance, with direct relevance for AI apps and shadow systems that often sit outside normal control paths.
Key questions
Q: How should security teams reduce IAM attack surface in fragmented environments?
A: Security teams should start by unifying identity, application, and access data so they can see where privilege persists outside normal control paths. The next step is to make remediation part of the same workflow, so high-risk access is assigned, reviewed, and removed quickly rather than merely reported. Visibility without enforcement does not reduce attack surface.
Q: Why do disconnected identity tools increase access risk?
A: Disconnected tools create blind spots across ownership, entitlement, and usage data, which means stale or excessive access can remain active unnoticed. That increases the chance of credential compromise, unauthorized access, and session abuse because defenders cannot reliably reconcile what should exist with what actually does.
Q: How do organisations know whether identity visibility is actually working?
A: A working identity visibility programme shortens the time between finding a risky identity and removing or correcting the access. It also shows whether dormant, orphaned, and overprivileged accounts are declining over time. If the programme only produces reports, then visibility exists, but operational control does not.
Q: What is the difference between identity visibility and remediation?
A: Identity visibility identifies who and what is in scope, while remediation changes the actual access state. Both are needed, but they are not interchangeable. A programme that sees risk but cannot remove it still leaves the attack surface exposed, especially where access ownership is unclear or review cycles are slow.
Technical breakdown
What creates an IAM attack surface in disconnected identity tooling?
An IAM attack surface is the collection of identities, entitlements, sessions, and applications that can be abused when visibility is incomplete. Disconnected tools fragment the evidence needed to answer basic questions such as who owns an account, which permissions are still active, and whether a session is legitimate. In practice, the gap is not only missing inventory. It is missing correlation across sources, so dormant, orphaned, and overprivileged access remains hidden long enough to be exploited.
Practical implication: consolidate identity telemetry into one control view before trying to tune remediation workflows.
How do visibility, observability, and remediation work together?
Visibility tells you what identities and permissions exist. Observability adds behavioural context, showing which accounts are active, stale, unusual, or drifting from expected use. Remediation closes the loop by removing access, fixing ownership, or forcing review. Gartner’s framing matters because mature identity security is not a discovery project alone. It is a closed operational cycle where each finding must be actionable, otherwise the attack surface remains measurable but not reduced.
Practical implication: design identity monitoring so every high-risk signal has a defined ownership and removal path.
Why do identity visibility and intelligence platforms matter now?
Identity visibility and intelligence platforms sit above fragmented identity, SaaS, and access systems to correlate entitlements across environments. Their value is not in collecting another dashboard, but in identifying where access risk is hiding across connected and disconnected systems. Gartner’s prediction signals that boards and CISOs will increasingly treat identity attack surface reduction as a governance measure, not just an operational hygiene task.
Practical implication: evaluate whether your current tooling can prove identity risk reduction, not just list accounts.
NHI Mgmt Group analysis
Identity visibility is now a control prerequisite, not a reporting feature. Gartner’s framing reinforces what IAM teams already see in practice: if identity data is fragmented, risk decisions are delayed or wrong. An unmonitored attack surface is what emerges when ownership, entitlement, and activity data cannot be reconciled fast enough. The implication is that identity governance must be judged by decision speed, not by inventory volume.
Disconnected identity tooling creates governance debt across both human and non-human identities. The same visibility gap that hides stale employee access also hides dormant service accounts, orphaned API keys, and shadow AI access paths. That makes this topic broader than conventional IAM reporting and closer to cross-domain identity governance. Practitioners should treat fragmented visibility as a multi-actor control failure, not a product-selection nuisance.
AI-related identity risk sharpens the case for unified visibility. Zluri’s own framing points to shadow IT and AI risks, which is where identity programmes start to lose control when new tools and agents appear outside standard onboarding and review flows. The stronger lesson is that identity discovery must cover both sanctioned and unsanctioned access paths. Practitioners need a control model that can see emerging identity types before they become exceptions.
Identity visibility and intelligence platforms are becoming the operating layer for remediation decisions. The Gartner signal suggests that the market is moving from static access review toward continuous identity intelligence. That shift does not reduce the need for governance, it increases it by making remediation more dependent on data quality and correlation. The practitioner takeaway is to align access review, entitlement ownership, and removal workflows to one evidence model.
From our research:
- The average estimated time to remediate a leaked secret is 27 days, despite 75% of organisations expressing strong confidence in their secrets management capabilities, according to The State of Secrets in AppSec.
- Organisations maintain an average of 6 distinct secrets manager instances, creating fragmentation that undermines centralised control.
- For a broader control baseline, see NHI Lifecycle Management Guide for provisioning, rotation, and offboarding discipline.
What this signals
Identity attack surface management is becoming a continuous programme function. The practical shift is from periodic access review to ongoing correlation of identity state across systems, because disconnected evidence makes remediation late or incomplete. Teams should align this work with NIST SP 800-207 Zero Trust Architecture so identity decisions are tied to continuous verification, not static snapshots.
Shadow IT and AI access paths should be treated as identity inputs, not edge cases. Zluri’s framing reflects a wider programme reality: if new tools are outside discovery, they are outside governance. That is why identity teams need explicit intake, ownership, and offboarding steps for unsanctioned apps and emerging AI-enabled access paths.
With 43% of security professionals concerned about AI systems learning and reproducing sensitive information patterns from codebases, the visibility problem extends beyond classic access review into how identity-bound systems interact with data and code, according to The State of Secrets in AppSec.
For practitioners
- Map identity data sources end to end Inventory every system that contributes to identity state, including directories, SaaS platforms, cloud IAM, PAM, and application-level access stores. Then identify where disconnected tools create gaps in ownership, entitlement, or activity visibility.
- Prioritise identities with the highest unobserved blast radius Focus first on dormant, orphaned, and overprivileged accounts because these are the identities most likely to persist outside normal review cycles. Tie each account to an owner and a removal trigger so remediation can happen without waiting for the next review window.
- Connect observability to enforced remediation Do not stop at dashboards or alerting. Build a workflow where high-risk access findings automatically route to the right owner, with evidence for why the entitlement should be removed, reduced, or recertified.
- Extend governance to shadow IT and AI access paths Include unsanctioned applications, AI tools, and other unmanaged access paths in identity review scope so discovery is not limited to approved systems. The goal is to reduce the attack surface before those paths become normalised.
Key takeaways
- Disconnected identity tools create an unmonitored attack surface because ownership, entitlement, and activity data cannot be reliably reconciled.
- Gartner’s forecast that 70% of CISOs will use identity visibility and intelligence platforms by 2028 shows that identity attack surface reduction is becoming a mainstream control objective.
- Practitioners should measure identity security by how quickly they can turn discovery into remediation, not by how many accounts they can list.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | ID.AM-1 | Asset and identity inventory is central to attack-surface reduction. |
| NIST Zero Trust (SP 800-207) | PR.AC-1 | Continuous verification depends on knowing who has access and why. |
| OWASP Non-Human Identity Top 10 | NHI-01 | Visibility gaps often hide unmanaged non-human identities and overprivileged secrets. |
Inventory non-human identities and secrets sources before setting rotation or review policies.
Key terms
- Identity Attack Surface: The identity attack surface is the full set of identities, entitlements, sessions, and connected systems that can be abused if governance is incomplete. It includes human users, service accounts, tokens, and AI-linked access paths when they are not properly inventoried or controlled.
- Identity Visibility And Intelligence Platform: An identity visibility and intelligence platform correlates identity data from multiple sources to show who has access, where risk exists, and which entitlements need attention. The key value is not reporting alone, but connecting discovery to operational decisions about removal, review, and ownership.
- Observability: Observability in identity security is the ability to understand identity behaviour from logs, events, and access context, not just static account lists. It helps teams see whether access is active, stale, unusual, or drifting, which makes remediation decisions more accurate and more timely.
What's in the full analysis
Zluri's full article covers the operational detail this post intentionally leaves for the source:
- Gartner report excerpts on the data sources that make up the IAM attack surface
- The report context behind visibility, observability, and remediation as a control sequence
- Zluri's product mapping for unified identity visibility across connected and disconnected systems
- The specific recommendations IAM leaders can use when comparing identity visibility approaches
Deepen your knowledge
NHI governance, agentic AI identity, and machine identity lifecycle 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 NHI governance in your organisation, it is worth exploring.
Published by the NHIMG editorial team on 2025-10-08.
NHI Mgmt Group — the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org