Where Autonomous IRM Begins—And Where It Must Go Next

The Quiet Rise of Autonomous IRM—From the Middle Out

Autonomous IRM is no longer theoretical. AI-powered platforms are starting to deliver tangible value: agentic systems that simulate attacker behavior, validate control effectiveness, and recommend mitigation actions—often autonomously.

The June 5 announcement from Tuskira, integrating directly with ServiceNow’s Vulnerability Response and SecOps modules, is a prime example. By embedding simulation-backed scoring and posture-aware mitigation into operational workflows, Tuskira is delivering intelligence in real time.

But there’s something missing: the announcement doesn’t mention Integrated Risk Management (IRM) at all.

That silence is a signal. Tuskira operates in what Wheelhouse Advisors defines as Layer 3: Intelligence & Validation—the middle of the risk architecture. And while this layer is where automation is gaining traction, it’s also where many organizations are managing in isolation, without input from either end of the enterprise risk stack.

John A. Wheeler

John A. Wheeler is the founder and CEO of Wheelhouse Advisors, a global risk management strategy and technology advisory firm. With over three decades of experience spanning executive management, finance, risk management, audit, and IT, John is a world-renowned expert in integrated risk management technology, executive leadership, and corporate governance.

https://www.linkedin.com/in/johnawheeler/
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The Coming Wave: Why AI-Fueled Cyber Crime Demands a New Layer of Risk Management

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Inside the Hack: Why Social Engineering Exposes the Limits of Cyber Defense and Demands Integrated Risk Management