The RiskTech Journal

The RiskTech Journal is your premier source for insights on cutting-edge risk management technologies. We deliver expert analysis, industry trends, and practical solutions to help professionals stay ahead in an ever-changing risk landscape. Join us to explore the innovations shaping the future of risk management.

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When Cyber Risk Becomes Enterprise Risk, Whose Job Did It Just Become?

When Cyber Risk Becomes Enterprise Risk, Whose Job Did It Just Become?

Integrated risk management reached mainstream adoption this month. The discipline itself is not new. When the IRM category was defined in 2016, leading organizations were already managing cyber, technology, and operational risk as a single enterprise concern owned at the top. What was missing for the past decade was broad adoption. That gap is now closing in plain view. Rating agencies are pricing security governance into credit. Regulators are addressing corporate leaders directly rather than their security teams. And enterprise research now documents boards accepting accountability for exposures that used to live three levels down in a technology function.

Two publications captured the shift in the same week, without citing each other. On July 8, Cybersecurity Dive reported on new research from Information Services Group showing that U.S. enterprises are folding cyber risk into their overall enterprise risk strategy, with boards and C-suites taking direct accountability for business continuity, financial exposure, and regulatory compliance. One day later, Harvard Business Review published an argument that lands like a rebuttal to every executive hoping that accountability might live somewhere else: you can outsource the AI, but the risk stays with you.

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The Reason We Do Not Need Another AI Risk Framework
Autonomous IRM, GRC, IRM Navigator™, IRM Leaders John A. Wheeler Autonomous IRM, GRC, IRM Navigator™, IRM Leaders John A. Wheeler

The Reason We Do Not Need Another AI Risk Framework

Every few weeks, another framework for AI-era risk management arrives. Some come from standards bodies, some from consulting firms, and a growing number from commentators inviting the profession to build one together. Each opens with the same claim: no proven guide exists for the AI era, so here is a fresh set of principles to fill the void.

The claim is wrong, and the error is expensive. Risk, compliance, and governance leaders are not short of frameworks. They are surrounded by them. What the profession actually lacks goes by a different name, and the distinction is the reason Wheelhouse Advisors chose its vocabulary with such care.

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What Risk Leaders Need to Know About AI Infrastructure
Artificial Intelligence, Autonomous IRM, AI Risk Samantha "Sam" Jones Artificial Intelligence, Autonomous IRM, AI Risk Samantha "Sam" Jones

What Risk Leaders Need to Know About AI Infrastructure

Risk leaders are sitting in vendor briefings where the presenter uses the words "agentic," "MCP," "orchestration," and "autonomous" in the same sentence, often without defining any of them. Most audiences nod along. A growing number are starting to ask harder questions. The ones who understand the infrastructure layer underneath the marketing claims are getting better answers.

This is not a technology article. It is a procurement and governance article. The AI infrastructure concepts that matter for risk leaders are not technical curiosities. They determine whether a vendor's agentic AI claims are architecturally real or a chat interface with a new label. They determine whether your organization's AI agents will operate within auditable guardrails or outside them. And they determine how exposed your technology investments are as AI reshapes the economics of risk and compliance delivery.

This article tells you what you need to know.

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WEF Claims AI Governance is a Growth Strategy
World Economic Forum, AI Governance, IRM Navigator™ Samantha "Sam" Jones World Economic Forum, AI Governance, IRM Navigator™ Samantha "Sam" Jones

WEF Claims AI Governance is a Growth Strategy

The recent World Economic Forum argument that “effective AI governance” is now a growth strategy is directionally correct, and also incomplete in a way that will matter for buyers in 2026. The claim is correct because governance reduces friction, clarifies accountability, and increases repeatability as AI moves from pilots to enterprise scale. The claim is incomplete because many organizations are calling the entire operating model “AI governance,” when the value is realized only when governance is translated into management execution.

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The Real AI Test: How to Tell a Platform from a Chat Overlay
Artificial Intelligence, AI Risk, AI Governance Samantha "Sam" Jones Artificial Intelligence, AI Risk, AI Governance Samantha "Sam" Jones

The Real AI Test: How to Tell a Platform from a Chat Overlay

Most vendors now claim to have “AI platforms,” but many are just chat interfaces placed on top of disconnected systems. The difference is more than marketing. Without the right controls, these overlays can leak data, bypass policies, and mislead buyers into thinking they are getting enterprise-grade AI governance when they are not.

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Executive Comparison of AI Governance Frameworks for Risk & Compliance
ISO 42001, EU AI Act, NIST AI RMF, AI Governance Samantha "Sam" Jones ISO 42001, EU AI Act, NIST AI RMF, AI Governance Samantha "Sam" Jones

Executive Comparison of AI Governance Frameworks for Risk & Compliance

Artificial Intelligence (AI) is becoming integral to enterprise operations and risk management, including emerging Autonomous IRM (Integrated Risk Management) initiatives where AI agents autonomously assist in identifying and managing risks. Executives and boards need to ensure such AI deployments are trustworthy, compliant, and aligned with business objectives. Several frameworks have emerged to govern AI risk and compliance. Below is a comparison of three key frameworks – ISO/IEC 42001 (the new AI Management System standard), the EU AI Act (forthcoming European regulation), and the NIST AI Risk Management Framework (RMF) (a U.S. voluntary guideline) – focusing on what executives should understand, monitor, and prioritize in each.

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