The profile of risk is changing. The onset of technology and rapidly evolving AI means that how organizations assess and measure risk has to inevitably change too.
With that in mind, Cowbell has built on its existing Cowbell Factors (CF), which are its proprietary rating system for measuring risk in enterprises, by adding three new AI-centric elements. The new AI Cowbell Factors assess three dimensions that increasingly define responsible AI deployment: AI Exposure, AI Vulnerability, and AI Assurance. As a group, they create a continuously updated posture score designed to help brokers, policyholders, and underwriters understand AI risk with greater clarity.
“These three factors answer different questions, and a business can be strong on one and weak on another,” added Cowbell CPO Rajeev Gupta. “Together they follow the standard risk decomposition: how bad it could be, how likely it is, and how well it is controlled. Collapsing them into a single number would hide exactly the information a broker or underwriter needs to act on.”
Every enterprise AI process and deployment raises three fundamental questions;
And it’s these questions that form the ultimate foundation for Cowbell’s three new AI factors.
At its core, AI Exposure measures a business’s viability within the AI ecosystem. AI Exposure measures how much damage an AI system could do if it fails, while also looking at what the AI is actually permitted to do.
“Whether it acts or only advises, how broad its permissions are, whether those actions can be reversed, what data it can reach, and whether a human approves consequential decisions,” added Gupta. “Severity is the part traditional cover cannot see. Two AI systems can behave identically in every conversation and still carry entirely different risk. One drafts a summary. The other sends payments. Autonomy is the largest severity multiplier in AI risk, and nobody has been measuring it continuously.”
AI Vulnerability CF evaluates how safely and reliably AI systems perform within their intended operating environments. Because as systems go on to wield greater authority, their subsequent reliability is ever more important.
“AI Vulnerability measures how often an AI system actually goes wrong,” added Gupta. “It’s scored from the system's own recorded activity: credential and data leakage, prompt injection and jailbreak attempts, fabricated answers, unsafe output, and operational failures such as error and tool-failure rates.”
But why exactly did Cowbell add this factor?
“This is the question a questionnaire cannot answer,” explained Gupta. “Asking a business whether its AI is safe produces an opinion. Watching what the AI did produces evidence. This is the factor that turns AI governance from an annual attestation into a continuous measurement.”
Having powerful and robust AI governance really helps to mitigate any anxieties, showcasing that an organization knows what they’re doing with their AI systems. Cowbell’s AI Assurance CF helps businesses evaluate documentation, enforce policies, complete internal audits, and even aligns seamlessly with existing frameworks.
“AI Assurance measures how well an AI system is governed, scored from controls we can observe working rather than controls a business says it has,” said Gupta. “It looks for the AI confirming before it takes a consequential action, refusing requests outside its remit, citing its sources, running its own evaluations, and maintaining versioned, well-logged operations
“Governance is the easiest thing to claim and the hardest thing to verify. Self-reported policy documentation moves the score only marginally. Demonstrated behavior is what moves it.”
Because as AI becomes embedded across every business function, insurers need to understand more than just which tools an organization uses.
“The future of underwriting intelligent systems depends on measuring them as they operate,” added Gupta. “By bringing observability, autonomy, and governance into a continuously updated risk framework, the industry can move toward a clearer and more confident understanding of enterprise AI exposure.”
This article was created in partnership with Cowbell
