Machine-user identity: how the 'security fabric' redefines controls and auditing

By
Ana
February 2, 2026
5 min read
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In modern corporate environments, the concept of digital identity has exceeded the limit of the human collaborator. APIs, bots, automated scripts, service accounts and AI models now operate autonomously, accessing systems, extracting data and executing critical actions. These are the so-called non-human identities (NHIs).

According to Gartner, non-human identities today account for more than 60% of all privileged access in large companies, and less than 30% of them are properly tracked or actively controlled. This creates silent gaps for lateral movements, data exfiltration and compliance violations.

This exponential growth exposes an unprecedented challenge: how to control access, track behaviors and ensure compliance in an ecosystem where decisions are not always made by humans?

Consequences for internal audit, access control and SoD

The increase in NHIs directly changes the paradigms of auditing and internal controls. Automated credentials often operate without periodic review, without proper audit trails, and without traceability of the decisions they make. This compromises the effectiveness of the SoD (Segregation of Duties) matrix and makes regulated structures vulnerable, such as those that need to comply with SOx, ISO 27001 and LGPD.

Internal audit needs to evolve from a point and retrospective analysis to real-time governance, based on risk indicators and dynamic access tracking.

RBAC is not enough: towards the Identity Security Fabric

Traditional models such as RBAC (Role-Based Access Control) were built for static and predictable environments. But with NHIs operating in milliseconds, you need a model that is adaptive, contextual and intelligent.

This is where the concept of Identity Security Fabric(ISF): an architecture that unites identity governance, access management, anomaly detection and response to identity incidents in an integrated and orchestrated mesh. According to Gartner, ISF is one of the most recommended approaches for regulated environments with high NHIS density and automated flows.

The ISF allows you to:

  • Revoke accesses automatically in the event of diversions;
  • Correlate behaviors between human and non-human identities;
  • Generate automated alerts and responses based on AI;
  • Integrate RBAC, ABAC and real-time behavioral detection.

How Vennx works in this context

Vennx already anticipates this new reality through solutions such as Oracle and SoD Discovery. Using AI and big data, our tools monitor identities in real time, identify risks and correct accesses in an automated and auditable way.

We carry out access diagnostics, sanitation of non-nominal accounts and structure identity governance with a focus on regulated environments. For customers audited or exposed to high operational risks, this means:

  • Reduction of exposure to penalties;
  • Greater transparency in audits;
  • Continuous compliance with standards such as SOx and LGPD.

The era of machine-user identities has arrived. And those who do not evolve their controls are, quietly, opening loopholes for invisible risks.

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