# Regulators were right — but don’t let panic replace basics
The Bank of England, FCA and HM Treasury have issued a joint warning about frontier AI cyber threats. That nudge is important. Frontier models bring new capabilities that can be weaponised, and boards should pay attention. But my practical experience with regional lenders and SMEs shows the scariest AI risks are rarely exotic: they’re human error layered on top of weak fundamentals.
Picture a payroll clerk clicking “Allow” on an AI assistant and a customer list streaming into the cloud. Or an old admin account without multi-factor authentication being the path an attacker uses to exfiltrate sensitive data. Those aren’t headline-grabbing model hallucinations — they’re preventable failures of basic cyber hygiene.
## Start with fundamentals
Before buying every defensive gadget on the market, fix the basics. That means the same things any sensible risk team would prioritise today:
– Inventory AI assets and integrations: which models are used, what data they touch, which vendors are involved.
– Close old accounts and enforce MFA: remove unused accounts and apply multi-factor authentication everywhere administrative access exists.
– Enforce least-privilege access: limit privileges to what users and services actually need.
– Segment networks and restrict data flows: keep AI experiments separated from sensitive production datasets.
– Require model provenance and security commitments from vendors: know what you’re sending to third-party models.
– Log, monitor and alert for anomalous data access or exfiltration.
Those controls stop most of the common incidents I see. In one engagement with a regional lender, the client was worried about adversarial prompts and hallucinations. We found an old admin account with no MFA and a forgotten third-party integration. Patch the account, tighten access, add logging and run a tabletop — and most of the panic evaporated.
## Make the regulator asks proportional and practical
The regulators’ recommendations to do threat modelling, supplier due diligence and incident response planning are sensible. But “frontier AI” is a broad, scary-sounding term. That uncertainty can cause paralysis or lead to expensive, one-size-fits-all investments that don’t address the root cause.
Small and medium firms need proportionate guidance. A multinational bank’s checklist won’t map cleanly to a regional lender or community finance provider. Prioritise controls based on exposure, sensitivity of data, and the criticality of services that integrate with AI models.
## Experiment safely
Learning by doing is important — but do it behind a fence. Practical steps to experiment safely:
– Use synthetic data sandboxes for development and testing.
– Limit agent permissions and network access during experiments.
– Teach staff how to prompt models safely and what not to share with a third-party model.
– Include AI failure scenarios in tabletop exercises so staff understand roles and escalation paths.
These practices let teams build competence without exposing sensitive data or critical systems to unnecessary risk.
## Practical checklist to act on today
1. Create an inventory of AI assets, models and vendor integrations.
2. Remove or secure stale accounts; enforce MFA and least-privilege access.
3. Segment and restrict data flows between production systems and AI environments.
4. Demand security and provenance commitments from vendors (contracts and SLAs).
5. Run table-top incident exercises that include AI failure modes.
6. Implement logging, monitoring and alerting for anomalous data access and exfiltration.
## Final thought
Take the regulators’ warning seriously, but don’t let it turn into FOMO-fuelled shopping. Fix the basics, be pragmatic about where your biggest AI exposures actually are, and practice simple drills so your team can respond when something goes pear-shaped. If you want help sifting the sensible from the shiny, I’m always around — I like practical plans more than panic, and I’ll bring the biscuits.
Source: [Bank of England, FCA and HM Treasury Warn Financial Firms Over Frontier AI Cyber Threats](https://www.foreignpolicyjournal.com/2026/05/17/bank-of-england-fca-and-hm-treasury-warn-financial-firms-over-frontier-ai-cyber-threats/)
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