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An examiner asks a CCO why a specific alert was cleared six weeks ago, and the honest answer is that the review happened, the judgment was sound, but nobody wrote down why. That gap, between work that was done well and work that can be proven to have been done well, now matters a lot more.
AI Supervision Is Now an Exam Priority
Speaking at SIFMA's Compliance and Legal Society Midwest Regional Seminar in St. Louis in June, SEC Examinations Director Keith Cassidy flagged AI supervision as an active exam priority for 2026. Examiners will be assessing whether firms have adequate policies and procedures governing how AI technologies are used and overseen.
That's the headline for 2026: if you're using AI in supervision, expect examiners to ask how you're overseeing it.
Compliant vs. Defensible
Being compliant means your programme meets the standard. Being defensible means you can prove it did, after the fact, to someone who wasn't in the room and has no reason to take your word for it.
That gap rarely opens through negligence. It opens through the ordinary texture of the job; a judgment call that was right but never logged, an escalation that happened over a conversation and went no further, a decision made by someone with twenty years of instinct whose reasoning lived entirely in their head.
In a stable regulatory environment, that instinct is an asset. A seasoned supervisor who reads a situation correctly and moves on is exactly what good compliance looks like day to day. The problem is that instinct doesn't leave a paper trail, and the tools, the communications, and the expectations examiners bring to a review are all changing fast enough that relying on memory alone is a risk most firms wouldn't choose if they thought about it directly.
Good compliance work that leaves no trace looks, to an examiner, like no compliance work at all.
Making the Reasoning Visible
The firms that handle exams well treat the reasoning behind a decision as part of the decision itself. The review isn't finished when the call is made. It's finished when that call is written down in a way that makes sense to someone with no context. Documentation discipline and supervision discipline are different muscles, and building one doesn't automatically build the other.
That distinction gets sharper as AI supervision tools become standard. When a system clears an alert, the reasoning behind that clearance has to survive past the moment it was made. Examiners won't just ask whether a firm is using AI. They'll ask whether human oversight of that AI is visible in the record, and not just in someone's head.
What Firms Should Be Asking Now
The current SEC environment is a real opportunity for firms that can back up their program with evidence. Cassidy's remarks in St. Louis point to an examiner relationship where good-faith compliance work gets recognized as such.
But that only works if the work can be shown. The firms who benefit most from this environment won't be the ones who relaxed when enforcement activity slowed. They'll be those who used the quieter period to ask a harder question: if an examiner walked in and asked us to reconstruct an AI supervision decision from two months ago, could we do it?
Compliant is the floor. Defensible is what gets built on top of it.
How MirrorWeb Can Help
Mira, MirrorWeb's AI supervision engine, is built around this exact problem. Every decision Mira surfaces carries a documented audit trail: what was flagged, who reviewed it, when, and what conclusion was reached. The reasoning behind an alert - or a clearance - doesn't disappear when the reviewer moves on to the next case. It stays in the record, in a form that makes sense to someone who wasn't there.
For firms building supervision programmes that need to hold up under scrutiny, that's the difference between a process that works and a process that can be proven to work.
To find out more, speak to our team.
