Craig Thomas
speaker
382 appearances
2 recordings
1 series
first heard Jun 2026
last heard 8 Jul
Craig Thomas’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 2 in all, peaking in Jul 2026 with 1.
Appearances
It's an underrated drift mechanism.
The malicious content in a data source
Your support ticket, scraped web page, user message, it can redirect an agent's behavior.
No one touches the model, right?
With Drift events on an AI particularly, you've got various components and several of those are out of your control.
Model updates may change the behavior without you changing a single thing or single code deploy.
If you're calling a hosted LLL and the provider updates the model, your agent's behavior can shift.
No pull requests, no change management, no one reviewing the delta.
Back to the conversation of what broke and why, you've got to go a layer deeper.
And that's a big way that AI systems can drift because of from the user interaction or the agent interaction to an API, to a tool, to an LLA.
There's various components in there that can all be changing and outside your general control.
I define shadow LLMs that they are the new shadow IT, right?
A developer spins up an LLM endpoint in AWS or Azure or somewhere else because the internal approval process takes weeks, if not months, for various things.
And so typical behavior with shadow I and shadow LLMs, right?
It's because it takes too long.
They have a legitimate use case, a business case, but it's just taking too long to get
what they want done.
And so there's no security review, no data handling policy, no logging.
Or you bring in a new third party tool with its own AI built in, calling LLMs that you never approved.
Need to be able to see that, surface that and stop it.
Showing 221–240 of 382 · page 12 of 20
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