By NHI Mgmt Group Editorial TeamPublished 2025-09-04Domain: Governance & RiskSource: Gurucul

TL;DR: SIEM dissatisfaction is widespread, with Cybersecurity Insiders reporting that 47% of enterprises are unhappy with their SIEM and 31% need to augment it, which points to a broader architecture problem than tooling preference alone. The real issue is whether security data, identity signals, and response workflows can remain portable enough to support governance across changing environments.


At a glance

What this is: This is Gurucul’s argument that SIEM architecture should avoid lock-in by supporting modular deployment, federated data access, and configurable analytics.

Why it matters: It matters because IAM, NHI, and SOC teams all depend on the same identity and telemetry fabric, and architecture choices now shape how well organisations can correlate compromise, privilege, and response.

By the numbers:

👉 Read Gurucul’s blog on SIEM architecture without lock-in


Context

SIEM lock-in becomes an identity governance problem when telemetry, detections, and response logic are trapped inside one platform and cannot follow the organisation’s actual control boundaries. In practice, that means compromise account detection, identity threat correlation, and storage strategy are being shaped by vendor architecture as much as by security design.

Gurucul’s article is framed as a product architecture case, but the underlying issue is broader: whether a SOC can preserve control over its data model, analytics, and integrations as identity telemetry expands across cloud, on-premises, and hybrid environments. That question affects NHI monitoring, IAM visibility, and the ability to stitch identity events into incident response without replatforming.

The article’s starting position is typical of modern security programmes facing SIEM fatigue: they want lower cost, more flexibility, and less dependence on proprietary ingestion or storage choices.


Key questions

Q: How should security teams evaluate SIEM architecture for identity-heavy environments?

A: They should test whether the platform preserves identity context across storage, analytics, and response layers. The key question is not whether it ingests logs, but whether IAM, NHI, and privileged access signals remain portable enough to support correlation, investigation, and policy change without rebuilding the stack.

Q: Why does SIEM lock-in create governance risk for identity programmes?

A: Because the organisation loses control over how identity evidence is stored, queried, and operationalised. When telemetry is trapped in one vendor model, it becomes harder to align IAM reviews, NHI monitoring, and incident response around the same facts.

Q: What should teams look for in modular SOC tooling?

A: They should look for component-level adoption, clear integration boundaries, and the ability to turn analytics on or off without a full replatforming effort. That makes it easier to mature identity detection and response in phases instead of committing to a single rigid operating model.

Q: How do organisations avoid losing identity correlation as their SIEM evolves?

A: They keep the data model portable, maintain source-of-truth ownership outside the platform, and validate that searches still work across distributed stores. If identity relationships only exist inside one product, they are fragile and difficult to govern over time.


Technical breakdown

Federated search and portable security data

Federated search lets analysts query data where it already lives instead of forcing every record into a single vendor-owned repository. That matters because identity telemetry often spans multiple stores, including cloud logs, cold archives, and operational data lakes. When the search layer can traverse those sources without duplication, organisations reduce data movement, storage overhead, and the risk of creating a second control plane that becomes harder to govern than the first.

Practical implication: preserve data locality where possible and verify that identity and security searches still work across distributed stores.

Modular SIEM, UEBA, and SOAR adoption

A modular security architecture separates collection, analytics, and orchestration so teams can adopt capabilities independently. In the article’s model, Data Pipeline Management can be used to manage ingest cost, UEBA can be layered in for identity-based threat detection, and SOAR can be enabled without forcing a full-stack replacement. The technical value is not just flexibility. It is the ability to change one layer without breaking the assumptions of the others.

Practical implication: insist on component-level adoption paths so identity analytics and response can evolve without a platform rewrite.

Custom analytics and identity risk scoring

Custom machine learning models, configurable thresholds, and role-sensitive risk scoring allow a SOC to tune detection to its own environment rather than inheriting a fixed vendor baseline. For identity-heavy use cases, that matters because privileged users, compromise accounts, and machine identities generate different behavioural patterns. A single generic score can hide the distinction between noisy access and genuinely suspicious identity activity.

Practical implication: calibrate risk scoring by identity type and use case instead of accepting one default threshold for everything.


NHI Mgmt Group analysis

SIEM lock-in is increasingly an identity governance constraint, not just a tooling nuisance. When identity telemetry, detection logic, and storage choices are fixed inside one stack, security teams lose the ability to govern how identity signals move across the programme. That makes it harder to connect human IAM, NHI monitoring, and response workflows into one control plane. The implication is that architecture decisions now shape identity governance outcomes, not just SOC convenience.

Data portability is the new control boundary for identity security operations. The article’s emphasis on bring-your-own-data-lake and federated search reflects a broader shift away from vendor-owned telemetry silos. That aligns with the practical reality that identity evidence must remain queryable across multiple environments, including cloud, on-premises, and hybrid estates. Practitioners should treat portability as a governance requirement, not a storage preference.

Modularity changes how security programmes mature across IAM, NHI, and SOC functions. A platform that can start with data optimisation, then add UEBA or SOAR, supports phased adoption without forcing a full redesign. That matters because many organisations are still trying to align identity detection, privileged access signals, and response automation in the same operating model. The field is moving toward composable security architectures, and identity teams need to plan for that reality.

Identity correlation depends on architecture that can absorb change without losing context. The core problem is not whether a vendor can ingest more logs, but whether the organisation can preserve identity relationships as sources, destinations, and analytics evolve. That is where many programmes lose fidelity. Practitioners should evaluate SIEM strategy through the lens of identity correlation continuity, not only through feature checklists.

From our research:

  • 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, according to the Ultimate Guide to NHIs.
  • Only 5.7% of organisations have full visibility into their service accounts, which means most identity programmes still lack a complete machine-identity inventory.
  • That is why teams should pair architecture changes with lifecycle control, starting with Ultimate Guide to NHIs , Why NHI Security Matters Now and the identity visibility problem it frames.

What this signals

Identity portability is becoming a prerequisite for SOC resilience. As environments spread across cloud, on-premises, and hybrid estates, the real test is whether identity telemetry can move with the operating model instead of being pinned to a single platform. The practical signal for practitioners is clear: if queries, detections, and response logic cannot survive a platform change, the control is already too brittle.

SIEM modernisation should be measured against identity correlation fidelity, not interface flexibility. Teams that focus only on ingestion breadth or dashboard customisation risk missing the deeper issue, which is whether human identity, NHI, and privileged activity still line up in one investigative path. That is the point where architecture either supports governance or undermines it.

Data democracy is a useful named concept here: it means security data remains under organisational control even when analytics are distributed. In practice, that should push teams to review where identity evidence is stored, who can query it, and whether the search layer depends on one vendor’s proprietary format.


For practitioners

  • Map identity telemetry dependencies before changing SIEM architecture Inventory which IAM, PAM, NHI, and response workflows depend on specific log sources, data stores, and analytics rules so you can see what will break if the platform changes.
  • Test federated search against real identity use cases Run queries across live and cold storage for compromise accounts, service accounts, and privileged sessions to confirm the architecture preserves context without data duplication.
  • Separate ingestion, analytics, and orchestration decisions Evaluate whether your programme can adopt data pipeline management, UEBA, and SOAR independently, because coupling them increases migration risk and makes governance harder to change.
  • Tune identity risk scoring by actor type Set different thresholds for human users, service accounts, and machine identities so high-volume activity does not hide genuinely risky behaviour in privileged workflows.

Key takeaways

  • SIEM lock-in is no longer just an operational inconvenience. It can directly limit how identity telemetry is governed across IAM, NHI, and response workflows.
  • The strongest signal in the article is architectural, not cosmetic: portability, modularity, and federated search determine whether security data stays usable as environments change.
  • Practitioners should treat identity correlation continuity as a design requirement and verify that analytics still work when storage, ingestion, or orchestration layers change.

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.

FrameworkControl / ReferenceRelevance
NIST CSF 2.0PR.DS-1Data portability and storage control affect how identity evidence is protected and used.
NIST Zero Trust (SP 800-207)PR.AC-4Identity correlation across distributed environments supports continuous access assessment.
OWASP Non-Human Identity Top 10NHI-01Identity-based detection depends on visibility into machine accounts and service credentials.

Use Zero Trust principles to keep identity telemetry and access decisions continuously verifiable.


Key terms

  • Federated Search: Federated search is a query method that looks across multiple data stores without first copying everything into one central repository. In identity security operations, it helps teams preserve context across live, cold, and distributed sources while reducing duplication and storage lock-in.
  • Identity Correlation: Identity correlation is the process of connecting events, accounts, and sessions so analysts can see how access, privilege, and behaviour relate over time. It is essential when the same person, service account, or machine identity appears across multiple tools and telemetry sources.
  • Data Portability: Data portability is the ability to move, query, and use security data without being trapped in one product’s format or control layer. For identity programmes, it determines whether evidence remains usable when the SOC architecture, storage model, or analytics platform changes.
  • Modular Security Architecture: A modular security architecture separates collection, analytics, and response into components that can be adopted and changed independently. In identity and SOC programmes, that reduces migration risk and makes it easier to evolve controls without replacing the whole stack.

What's in the full article

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

  • How its modular SIEM, UEBA, and SOAR components are intended to be adopted in sequence
  • The specific deployment choices for cloud, on-premises, and hybrid environments
  • The product-side explanation of federated search across distributed storage layers
  • How the platform positions itself around identity threat correlation and data optimisation

👉 Gurucul’s full post outlines the modular architecture and deployment options in more detail

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.
NHIMG Editorial Note
Published by the NHIMG editorial team on 2025-09-04.
NHI Mgmt Group — the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org