
FCA turns to AI to fight fraud: What the Palantir contract means for financial regulation
TLT picks out the key points you shouldn't miss...
What’s this about?
The FCA has engaged Palantir to analyse highly sensitive data - including case files, Suspicious Activity Reports (SARs), consumer complaints and internal investigations – using AI tools designed to enhance fraud detection. The three-month, £30,000-a-week deal deploys Palantir's Foundry platform across the regulator's entire data lake, covering 42,000 firms from high street banks to crypto exchanges. If the trial works, a full AI rollout follows.
Our Head of Risk and Financial Crime, Ben Cooper says...
“The FCA letting AI loose on live enforcement data is a bold move — and a significant one. For regulated firms, the message is clear: the regulator’s detection capabilities are evolving rapidly, and historic assumptions about enforcement lag, data silos or manual review are no longer safe.”
The points not to miss...
The pilot gives Palantir access to some of the FCA’s most sensitive datasets, including communications, complaints, SARs and reports of suspected criminal activity. Even as a time‑limited exercise, this represents one of the most high‑profile uses of AI in UK financial regulation to date.
Legal and data privacy experts have raised questions about the use of real, live data, rather than synthetic datasets, for what is positioned as a trial. Commentators have also queried the extent to which external suppliers may gain insight into the FCA’s investigative methods and supervisory approach.
The FCA has sought to address these concerns by stating that Palantir will act strictly as a "data processor", operating only on the regulator's instructions. Data will be stored in the UK, encryption keys will be retained by the FCA, Palantir will be required to delete the data at the end of the trial, and any intellectual property generated will remain with the watchdog.
Officials have indicated that this trial could pave the way for a broader rollout of AI tools across the FCA, which is responsible for overseeing approximately 42,000 firms. This reflects a wider trend across Whitehall, where departments are increasingly turning to data-driven tools to process growing volumes of digital information under resource pressures.
Notwithstanding the concerns raised, experts have long warned that enforcement agencies are under-using the regulatory data already at their disposal. Professor Michael Levi, a specialist in financial crime at Cardiff University, has highlighted "serious under-exploitation" of regulatory data and suggested that AI could deliver a meaningful step change in detection capabilities, particularly given that financial crime remains one of the UK's largest categories of offending.
What should firms be thinking about now?
While the FCA’s pilot is aimed at improving its own capabilities, the implications for firms are clear:
- Data quality matters more than ever. Inconsistent, incomplete or poorly contextualised regulatory submissions are more likely to be identified through AI‑driven analysis.
- Patterns will surface faster. Issues that might previously have appeared isolated — across products, entities or time periods — may now be linked more quickly.
- Legacy weaknesses carry greater risk. Historical control failures, remediation gaps or cultural issues may become more visible when datasets are analysed holistically.
- Explainability and governance will be key. Firms using AI internally should expect increased scrutiny of how decisions are made, documented and challenged.
In short, this is not just a technology story – it is a signal that the FCA’s approach to supervision and enforcement is becoming more proactive, predictive and data‑led.
At a glance...
Authors: Ben Cooper and Ailbhe Redding
This publication is intended for general guidance and represents our understanding of the relevant law and practice as at March 2026. Specific advice should be sought for specific cases. For more information see our terms & conditions.
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