Consulting Governance

AI Finds More Than You Can Fix. Who Decides What Waits?

When AI finds vulnerabilities faster than teams can fix them, something will wait. Someone should decide what, in writing.

Christopher R. McCraleyThe Decision Terrain2 min read

October 31, 2026. That's the date the European Central Bank set for the banks it directly supervises to submit action plans on AI-enabled cyber threats.

Behind the deadline is a simple imbalance. Finding problems got faster. Fixing them didn't.

What supervisors are seeing

On September 2, 2026, the UK Financial Conduct Authority published a multi-firm review of frontier AI and cyber resilience. Its headline observation: "Vulnerability discovery is accelerating faster than firms' ability to respond." Firms described constraints in validation capacity, engineering resource, patch testing, emergency change control and evidence of closure. Some are moving beyond severity scores to weigh exploitability and the impact on business services. The FCA stresses that human oversight remains central to validating findings and making risk decisions, and says the review introduces no new rules or expectations.1

The ECB's July letter goes further for the banks it supervises. It asks boards to review budgets, staffing and risk appetite frameworks, including patching-frequency controls, and says open findings and known security weaknesses should be addressed without delay.2

If finding outpaces fixing, the backlog grows. A growing backlog is a stack of risk decisions that nobody has made.

The queue is a decision

Every unpatched vulnerability sitting in a queue is a risk being accepted. When the queue was short, the order barely mattered. When AI fills it faster than teams can drain it, the order is the risk decision.

Automated scanners produced a smaller version of this flood years ago. AI makes it bigger and faster. The question it raises is the same: who decided what could wait?

The FCA's observation about prioritization helps. Severity alone produces a long list of urgent items. Exploitability and business-service impact produce a shorter list that a person can defend.

Put names on the waiting

Finding: [ID]
Business service exposed: [service]
Exploitability: [actively exploited, plausible, theoretical]
Fix by: [date], or accepted until [date] by [name, authority level]
Compensating control in the meantime: [control]

Set the authority levels in advance. Who can accept a risk on a critical service for 30 days? For 90? Who can accept one that's being actively exploited, if anyone? Without those tiers, acceptance happens by default, at whatever level the queue happens to stop. Write the tiers into the risk appetite statement, where the board already approves thresholds.

Give the board the tail of the list, not the total: the oldest accepted items on the most important services, and who accepted each one. A total tells the board the queue is large. The tail tells it which decisions to question.

Smaller firms face the same arithmetic with fewer people. That makes the tiers more important, not less.

Finding faster is progress only if deciding keeps up.

Read False Green in Disaster Recovery: Why the Finding Determines the Fix for why the nature of a finding should shape the fix that follows.

Sources and Notes
About The Decision Terrain

The Decision Terrain — Driving Integrity in the Era of AI

The Decision Terrain examines how organizations preserve judgment, evidence, accountability, and the capacity to act when they must make critical decisions under stress.

All articles in The Decision Terrain are authored by Christopher McCraley.

About the author
Christopher R. McCraley, Founder and Principal Advisor, SRS Platinum.
Christopher R. McCraley
Founder & Principal Advisor

Founder and Principal Advisor of SRS Platinum, Inc., an institutional advisory practice focused on operational resilience, AI governance, infrastructure modernization, and operational decision integrity. Four decades across financial services, insurance, infrastructure, consulting, and enterprise technology environments.

How to cite this article

McCraley, C. R. (2026). AI Finds More Than You Can Fix. Who Decides What Waits?. The Decision Terrain, SRS Platinum, Inc. https://srsplatinuminc.com/vulnerability-backlog-risk-acceptance/

The views expressed in this article are solely my own and do not represent the views, positions, or policies of any current or former employer, client, or affiliated organization. Any professional examples are anonymized and presented solely to illustrate broader principles.

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