The AI Metric Every Board Should Be Asking For
Boards are used to asking about vulnerabilities, patching, phishing tests, incidents, and response times. Those metrics still matter, but they do not fully answer the question that matters most in the AI era: "How much AI is actually operating inside the business?" Not just the AI that was approved. Not just the AI listed in the strategy deck. The real number... across SaaS platforms, copilots, chatbots, browser extensions, developer tools, automation workflows, and AI agents.
That question is becoming a cybersecurity issue, a governance issue, and a leadership issue. Because once an AI tool can access sensitive data, influence decisions, generate code, summarize documents, update records, or trigger workflows, it is no longer just another productivity feature. It becomes part of the enterprise risk surface.
The next cybersecurity metric Boards should ask for is not complicated: "How many AI tools do we have, what data can they access, what actions can they take, and how many are unknown?" Because if AI is becoming part of the business, AI risk needs to become part of Board reporting.
