Identity-Governance

Enterprises Extend PAM Controls to Cover AI Agent Access

FIRST LOOK ATLAS OWASP HIGH ▲ 7.2 Dark Reading Sep 29, 2026

A new analysis highlights that autonomous AI agents are operating with broad privileged access inside enterprises without the same auditing rigor applied to human users — effectively creating an unmonitored privileged-user class. This closes a critical visibility gap for defenders by framing AI agents explicitly within the privileged-access management (PAM) paradigm, giving security teams a concrete control framework to apply. The residual challenge lies in tooling maturity: most PAM platforms, SIEM pipelines, and identity governance workflows require meaningful extension before they can meaningfully instrument agent behaviour at the depth human-user auditing achieves.

Enterprise IAM Framework for AI Agents Closes Identity Governance Gap

FIRST LOOK ATLAS OWASP MEDIUM ▲ 7.8 The Hacker News Sep 29, 2026

A practical enterprise framework for applying Identity and Access Management principles to AI agents has been published, treating each agent as a non-human identity with scoped authorisation, defined ownership, and continuous monitoring. This closes a critical visibility gap where conventional IAM platforms describe access as configured but cannot observe what an autonomous agent actually executed once inside an application — the so-called intent-to-execution gap. Residual maturity questions remain around tooling integration, runtime telemetry completeness, and the organisational readiness required to assign human ownership to every deployed agent identity.

SOC 2 Framework Adapts to Cover AI Agent Identity Controls

FIRST LOOK ATLAS OWASP MEDIUM ▲ 7.2 BleepingComputer Sep 28, 2026

A sponsored analysis by Token Security argues that SOC 2's Trust Services Criteria are hollowing out under AI agent adoption, as the framework's core assumptions about account ownership, log attribution, and access approval no longer hold when agents act autonomously under human identities. The piece closes a conceptual gap by surfacing exactly which SOC 2 controls (CC6.1–CC6.3) are most exposed, giving compliance and security teams a concrete starting point for remediation and audit scope expansion. Realising the full benefit requires auditors, certification bodies, and organisations to reach consensus on treating AI agents as a distinct identity class — maturity that does not yet exist uniformly across the industry.

Microsoft Sentinel and Defender Experts Add Multi-Cloud MDR Coverage

FIRST LOOK ATLAS OWASP MEDIUM ▲ 6.5 Microsoft Security Blog Aug 28, 2026

Microsoft's August 2026 security update extends Defender Experts MDR to third-party data sources ingested via Sentinel — including Palo Alto Networks, AWS, and Okta — and introduces Entra Tenant Governance for centralised multi-tenant visibility and drift monitoring. These additions close a meaningful gap for organisations running hybrid or multi-cloud environments, where managed detection historically stopped at Microsoft-native telemetry boundaries. Realising the full benefit requires P2 licensing, mature Sentinel ingestion pipelines, and organisational readiness to act on cross-tenant configuration drift alerts.

GhostJacking Attack Hijacks AI Agents via Security Alerts

ATLAS OWASP HIGH ▲ 8.2 Dark Reading Aug 11, 2026

New research dubbed 'GhostJacking' demonstrates how attackers can exploit security alerts and blocked events to manipulate and hijack AI agents, exposing fundamental identity governance gaps in agentic AI systems. The technique highlights how defensive signals—normally indicators of protection—can be weaponised to subvert agent behaviour and assume control of automated workflows. This finding has significant implications for enterprises deploying AI agents in sensitive or privileged operational contexts.

Netwrix Analysis: AI Agents Widen the Non-Human Identity Gap

FIRST LOOK ATLAS OWASP HIGH ▲ 8.2 BleepingComputer Jul 11, 2026

A Netwrix-sponsored analysis highlights how AI agents are rapidly proliferating machine identities inside enterprise environments, creating credentials and inheriting permissions far faster than existing identity governance can track. The core risk is that AI agents operate outside traditional human-lifecycle identity controls, leaving security teams unable to enumerate what exists, who owns it, or what it can access. Defenders face an expanding blind spot where a single compromised agent credential can chain laterally across cloud services, SaaS platforms, and secrets stores — as demonstrated by the UNC6395/Drift OAuth campaign against Salesforce environments in 2025.

IGA Platforms Add AI Agent Governance and Access Control

FIRST LOOK ATLAS OWASP HIGH ▲ 7.8 The Hacker News Jul 03, 2026

A new analysis published via The Hacker News details how traditional Identity Governance and Administration (IGA) frameworks — built around HR-driven, human-centric lifecycle events — are fundamentally unequipped to govern AI agents acting as autonomous principals in enterprise environments. Security teams face a growing blind spot: AI agents acquire, retain, and exercise entitlements without triggering the joiner-mover-leaver workflows, manager attestations, or termination events that IGA tooling depends on. Defenders must now treat AI agent identities as a separate governance tier, requiring purpose-built provisioning, audit, and deprovisioning logic that existing platforms like Workday, SailPoint, and Azure AD connectors were never designed to provide.