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.
The Fraud Market Is Funding Its Way Toward Autonomous IRM
CB Insights just mapped more than 200 companies building the next generation of fraud and trust infrastructure. The pattern in the funding is worth sitting with. The platforms pulling in the most capital have stopped selling single tools. They sell one system that handles risk decisioning, case management, and compliance at once. CB Insights calls it the integrated stack. Fraud detection drew three and a half times the equity capital in 2025 that it raised the year before, and the orchestration platforms that fold identity, monitoring, and compliance into one system post the highest average company-health scores anywhere on the map. Sardine, SEON, and Feedzai lead that group, and they are the ones that have absorbed the most functions.
Cyber Regret at the Gartner Security & Risk Management Summit: From Risk Dysfunction to Risk Agency
The Gartner Security and Risk Management Summit is running this week at National Harbor in Washington, DC, and the theme is "Smarter, Faster, Stronger... Together." Almost every session points in one direction, which is speed. The opening keynote called the next eighteen months a compressed decision cycle where the cost of waiting keeps rising. The Day 1 sessions covered how to secure AI agents before they act on their own, how to scale AI in cybersecurity while proving a return, and where security skills and tools will be by 2030. The message to the CISOs in the room is simple. Move faster, especially on AI.
One session says the opposite, and it is the one to watch. Gartner has a name for it now, cyber regret. The research describes a reckoning building in boardrooms over the cybersecurity money spent in recent years.
The Agent Sprawl Problem Is an IRM Problem
FICO’s chief information officer told The Wall Street Journal this week that his company’s 3,500 employees are creating dozens of new AI agents every single day. DaVita’s employees have created more than 10,000. GitLab’s CIO says their existing governance guardrails are “holding the line” — which is another way of saying the pressure is real and building. The Wall Street Journal is calling this “AI agent sprawl.” Risk professionals should recognize it by a different name: a governance failure in progress.
The mechanism is not complicated. Platforms like Claude Cowork and open-source orchestration tools have made it trivially easy for nontechnical employees to spin up independent AI agents. That accessibility is, by design, a feature. The problem is that features do not come with governance structures. When every employee at every tier of an organization can create an agent that writes briefs, manages data sets, or executes workflows, the organization does not have an AI strategy. It has an AI population.
The NC State ERM Summit Just Proved the COSO Survey Right
Last week, more than 110 enterprise risk management practitioners gathered at NC State's Poole College for the 2026 ERM Roundtable Summit. The case studies they shared were compelling. The programs they described were mature, relationship-driven, and genuinely effective at connecting risk functions across large, complex organizations. They also illustrated, with striking precision, exactly why the COSO/Crowe survey published earlier this year found that only 7 percent of ERM programs are seen as strategic partners by the business.
That is not a criticism of the practitioners. It is a diagnosis of where most ERM programs sit on the maturity curve, and what the next investment must accomplish to move beyond it.
Why Your ERM Program Cannot Get a Seat at the Strategy Table
Every chief risk officer reading this knows the conversation. The CEO asks what the top three strategic risks are this quarter. The answer comes from a quarterly risk register refresh and a heat map. The CEO nods, thanks the CRO, and moves on. Nothing changes.
The new COSO/Crowe practitioner guide, From Guidance to Action: Exploring Practical Enterprise Risk Management, just put a number on how widespread this pattern is. Ninety-three percent of enterprise risk management programs are stuck on the wrong side of the strategy conversation, and the reason is not what most risk leaders have been told.
What ServiceNow Just Announced Is Bigger Than a Security Story
ServiceNow announced Autonomous Security and Risk on Tuesday morning, integrating its recent acquisitions of Armis and Veza into the ServiceNow AI Platform under what the company calls the AI Control Tower. The press release framed the launch as a way to govern every AI agent, identity, and connected asset across the enterprise. I am writing from Knowledge ’26 in Las Vegas, where the announcement landed in the opening keynote and where the architectural ambition behind it has been on display all week.
The first-wave coverage is reading the announcement as a security story. The Armis acquisition closed two weeks ago, the Veza integration extends identity controls to the AI agents now operating inside enterprises, and a new generation of what ServiceNow calls AI specialists handles vulnerability remediation and security operations end to end. Those elements are real, and the security framing is not wrong. It is incomplete. What ServiceNow has actually announced is the first complete commercial architecture for governing the autonomous enterprise. We have been writing about the emergence of this category, autonomous integrated risk management (IRM), in The RiskTech Journal (RTJ) since October 2024.
Why Risk Technology Is More Exposed to the Systems of Record Shift Than Other Software Categories
Between December 2025 and February 2026, venture commentary converged on an architectural argument: traditional systems of record are losing primacy as agentic AI takes over execution, and value is migrating from the systems that record state to the systems that capture reasoning. Sarah Wang at Andreessen Horowitz, Jamin Ball at Clouded Judgement, and Jaya Gupta and Ashu Garg at Foundation Capital each made a version of the case in pieces published within two weeks of one another.
The venture commentary drew its examples from sales, support, and finance. Those domains can tolerate lossy decision capture. Risk technology cannot. Audit, compliance, and assurance are not optional use cases bolted onto risk platforms. They are the reason the platforms exist, and each of them requires the ability to answer why something was allowed to happen.
The IRM50 AI Disruption Risk Index measures vendor-level exposure across fifty IRM and GRC platforms. The gap between tier one and tier five is not incremental. It is the difference between absorbing the shift and being absorbed by it.
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.
The IRM Vendor Market: What the Major Analyst Firms Won’t or Can’t Tell You
The IRM vendor market spans five segments — GRC, ERM, ORM, TRM, and Risk Management Consulting — but no major analyst firm covers all five in a single research program. Gartner focuses exclusively on Assurance Leaders. Forrester and IDC treat GRC and cybersecurity as separate tracks. The 2025-2026 IRM Navigator™ Vendor Compass from Wheelhouse Advisors is the only research series that evaluates vendors across all five IRM segments using a consistent methodology. This article explains how buyers, investors, and vendors can use the free interactive Vendor Compass Segment Summary to answer the market questions that traditional analyst research leaves unanswered.
Chasing the Certificate: How AI Hype Is Putting Vendors, Buyers, and Investors at Risk
The Agentic GRC market has a sequencing problem. AI agents that autonomously collect evidence, monitor controls, and generate audit-ready documentation are real capabilities, and they are being deployed at scale before the compliance programs underneath them are mature enough to make them trustworthy.
The Delve case, in which a Y Combinator-backed platform allegedly let its agents generate auditor conclusions rather than supporting independent auditors who drew their own, is the most visible proof point of that dynamic. But the more important question is not what Delve did. It is what conditions made it possible, and whether those conditions are specific to one startup or structural to the segment.
Who is responsible when an Agentic GRC platform collapses the auditor-client boundary?
What does a buyer's procurement process need to ask to detect that collapse before it produces legal exposure?
And what does investment diligence look like for a platform category where the core product is trust itself?
The IRM Navigator Curve, developed by Wheelhouse Advisors, establishes that Foundational program integrity is not optional preparation for agentic deployment. It is the architectural prerequisite without which agentic compliance capabilities are structurally unstable.
The IRM50 AI Disruption Risk Index provides the second dimension: a structured framework for evaluating which platforms in the compliance automation segment are built on durable integrity architecture and which are carrying the kind of artifact-production dependency that the Delve allegations represent at their extreme.
This article examines the Delve case through both lenses, raises the specific questions each constituency needs to answer, and explains why the AI disruption frenzy has made all of them harder to ask and more expensive to ignore.
Professional Services Firms Admit AI Is an Existential Risk
PwC just announced PwC One, an AI platform that delivers tax, audit, and consulting services directly to clients without a PwC professional in the loop. CEO Paul Griggs warned this week that partners who resist are "not going to be here that long." Accenture said something similar earlier this month.
Two of the largest professional services firms in the world have now publicly acknowledged that AI threatens their core business model. But the bigger question is not what happens to PwC and Accenture.
It is what happens to the technology vendors who depend on them.
Subscribe free to The RiskTech Journal to learn more.
Thoma Bravo’s Investor Meeting Sends a Warning RiskTech Cannot Ignore
Orlando Bravo did not mince words at Thoma Bravo’s annual investor meeting in Miami yesterday. Speaking exclusively with CNBC’s Leslie Picker on the floor of the event, the firm’s founder and managing partner addressed the AI disruption narrative head-on – and drew a sharp line between the software companies his firm owns and the ones it would not touch. “There are many, many software companies in the public markets that will be disrupted from AI,” Bravo told Picker. “Those companies were going to be disrupted anyway. AI will create that disruption a lot faster, and some of the decreases in their valuations are very warranted.”
Thoma Bravo manages over $183 billion in assets across roughly 80 enterprise software companies, making it the largest investment firm with concentrated exposure to the software sector. That portfolio visibility – into customer contracts, renewal rates, and the operating fundamentals of dozens of companies – gives Bravo’s assessment unusual weight. This was not a market prediction. It was a practitioner’s observation. The RiskTech industry should take it seriously.
Reality Check: The “Always On” Enterprise Can Burn Itself Out
The market is falling in love with the idea of the “homeostatic enterprise,” an organization that continuously senses drift and continuously corrects. It sounds like the end of quarterly risk theater and the start of real-time resilience.
But here is the uncomfortable truth. Many organizations are already “always on,” and they are not stable. They are exhausted.
They survive through constant adaptation, nonstop escalation, and a culture that rewards heroic recovery over engineered stability. Over time, that chronic strain becomes a structural condition. In stress science, the cumulative wear and tear is called allostatic load. In organizations, it shows up as chronic rework, exception overload, control debt, and a widening gap between effort and outcomes.
The risk for leaders is obvious: you can modernize sensing and orchestration and still make the enterprise worse by accelerating the machine that is already burning people and processes down.
The 2026 Convergence: Integrated Risk Management In a New Era
The 2026 global risk survey cycle marks an inflection point in how risk is understood, prioritized, and operationalized by large organizations. For the first time in several years, leading surveys from Aon, Allianz, the World Economic Forum, Protiviti, PwC, Marsh, Zurich, and Eurasia Group are not merely aligned on top risks, they are aligned on why those risks are proving so difficult to manage with legacy approaches.
Cyber remains the top-ranked risk globally. Geopolitical volatility has become a structural operating condition rather than a periodic shock. Artificial intelligence has moved decisively from emerging concern to material enterprise exposure. Third-party dependency is now treated as a first-order risk category. Across these themes, one signal is clear: risk is no longer behaving as a set of discrete domains. It is behaving as an interconnected system of dependencies, amplifiers, and cascading impacts.
This convergence explains why Integrated Risk Management (IRM) is shifting from an architectural aspiration to an execution requirement.
IRM Navigator: The Operating Model for Integrated Risk Management
Many organizations have adopted ERM standards and clarified accountability, yet risk still fails to shape planning, capital allocation, and operational decisions. The gap is not conceptual. It is operational. Most programs have guidance on what effective risk management should achieve and who should perform key activities, but they lack an operating model that specifies how risk work is unified across domains and instrumented through business processes and technology.
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.
RiskTech Buyer Trap - When “Next Gen SaaS” Signals Foundation Rebuild, Not Integration Maturity
The GRC and broader RiskTech platform landscape is in a visible transition cycle. Several large vendors are rebranding portfolios, introducing AI capabilities, and emphasizing SaaS-first delivery and modern user experiences. Buyers often interpret these moves as a direct signal of near-term integration maturity, faster operational embedding, and “out of the box” IRM outcomes.
That interpretation can be costly.
The more reliable buyer lens is to recognize that platform modernization usually follows a sequenced transformation path, and integration maturity tends to become repeatable only after the new baseline stabilizes across SaaS delivery, experience, and extensibility.
Why DORA Metrics Belong in the Risk Committee Packet
Boards increasingly receive dashboards showing deployment speed, incident counts, and technology uptime. What is often missing is the recognition that software delivery performance is now a primary driver of enterprise risk. Every material change to products, services, data flows, and controls is executed through software delivery pipelines.
DORA metrics were created to measure delivery performance, but when viewed through an integrated risk lens, they function as early-warning indicators of change risk, operational resilience, and assurance quality. Boards that treat these metrics as engineering detail miss one of the clearest signals of whether risk controls are embedded or cosmetic.
Governance and Management: The Distinction That Determines Risk Effectiveness
Executives often use “governance” and “management” interchangeably, but they are distinct disciplines. Without a clear line between them, policies never translate into behavior.
The difference is structural. Governance defines expectations. Management delivers outcomes.
This is the biggest blind spot in AI. Companies mistake principles and checklists for control. But governance is only the guardrails. It cannot catch model drift or detect bias. That is the job of management.
Governance does not scale by adding more rules. Management does not scale by adding more meetings.
[Read the full article to stop confusing documentation with execution.]
The IRM Navigator™ Curve: A Faster Way to Classify Vendors and Clarify Your Risk Technology Roadmap
Most organizations still evaluate risk technology using surface features or maturity labels that do not reveal where a solution truly fits in the broader risk ecosystem. The IRM Navigator™ Curve provides a more reliable assessment. It combines the five IRM maturity levels with the four underlying investment domains to show how organizations advance from Risk Dysfunction to Risk Agency. This article introduces the curve in plain terms and provides a quick test that allows buyers to slot any vendor on the curve in less than two minutes.