How UK financial firms can use Claude AI securely
Updated: 1 day ago
UK financial firms can use Claude AI securely by controlling access to sensitive data, managing integrations, reviewing automated actions and maintaining clear oversight. For alternative investment firms, including hedge funds, private equity and family offices, these controls are particularly important when handling confidential investment information and regulated activities.
Alternit One helps financial services firms assess their IT environments and introduce AI tools with suitable security and governance controls.
Its secure Claude deployment framework covers approximately 70 configuration decisions across four areas: organisation-wide settings, Claude Code, desktop integrations and Claude Cowork's autonomous task capabilities. The framework was presented at the With Intelligence Hedge Fund COO Summit in September 2026.
Why does Claude AI security matter in financial services?
Using Claude without appropriate controls can expose financial firms to data leakage, unauthorised access and insufficient oversight of automated activities.
According to IBM's 2024 research, the average cost of a data breach in the financial sector was $6.08 million globally. In its 2025 report, IBM found that 97% of organisations reporting breaches involving AI models or applications lacked proper AI access controls.
The risks depend on how employees use AI. Drafting internal documents presents different concerns from connecting Claude to confidential client records or allowing it to modify business systems.
For regulated investment firms, the main priorities are:
Data protection: Control access to confidential investment information and personal data.
Access management: Restrict accounts, connectors and permissions to authorised users.
Human oversight: Review sensitive AI-assisted decisions and automated actions.
Auditability: Maintain records that support internal oversight and regulatory enquiries.
These controls should reflect the sensitivity of the information and the potential impact of errors or misuse.
What Claude security controls should financial firms review?
Alternit One's secure Claude deployment framework identifies approximately 70 configuration decisions across four security areas. These cover identity and privacy, developer tools, desktop integrations and autonomous tasks.
Security area | Controls in Alternit One's framework | Main security focus |
Organisation-wide settings | 27 | Identity, data privacy, sharing and connectors |
Claude Code | 17 | Developer permissions, execution environments and automation |
Desktop application | 14 | Extensions, local access and device management |
Claude Cowork / autonomous tasks | 12 | Agent permissions, human oversight and auditability |
Total | 70 |
Figures from Alternit One's September 2026 framework.
Claude's chat and Cowork capabilities are being brought into a more unified experience. The distinction between conversational assistance and autonomous actions remains important for security reviews, even when both are accessible through the same interface.
Which security settings matter most?
Security area | Specific controls to consider |
Organisation-wide | Single sign-on, role-based permissions, connector access and sharing restrictions |
Claude Code | Centrally managed permissions, controlled execution environments and approved tools |
Desktop integrations | Approved extensions, restrictions on local MCP servers and managed updates |
Claude Cowork / autonomous tasks | Folder permissions, network restrictions, approval requirements and activity records |
Anthropic documents enterprise role-based permissions and device-level controls for Cowork and desktop integrations.
These controls vary by subscription and deployment. Confirm which settings are available and appropriate for your organisation.
How do Claude security controls relate to FCA requirements?
Financial firms must assess Claude against the regulatory requirements relevant to their activities. For alternative investment firms, the main considerations include governance, outsourcing, operational resilience, confidentiality and data protection.
Regulatory area | Main consideration | Relevant AI security measures |
Accountability for technology risks and internal controls | Named ownership, access management and activity records | |
FCA outsourcing and third-party risk | Oversight of external technology providers | Due diligence, contractual review and ongoing monitoring |
Operational resilience | Managing disruption to important business services where the rules apply | Contingency planning and controlled automation |
Protecting inside information and preventing market abuse | Restricted access, data-sharing controls and monitoring | |
Lawful and secure processing of personal information | Data minimisation, access restrictions and risk assessment | |
PRA requirements, where applicable | Relevant outsourcing and model-risk obligations | Materiality assessments, oversight and governance |
For example, a hedge fund may handle material non-public information (MNPI), such as confidential investment information that has not been released publicly. Allowing AI tools to access or share sensitive information without adequate controls can create confidentiality and market-abuse risks.
The FCA's outsourcing guidance makes clear that regulated firms remain accountable for their responsibilities when using third-party providers.
Firms within scope of the FCA's operational resilience rules must identify important business services, set impact tolerances and carry out mapping and testing.
Additional PRA requirements may apply depending on the firm's regulatory status and activities.
What should firms check about Claude's data processing?
Before allowing Claude to process sensitive business or client information, financial firms should review Anthropic's contractual terms, data handling practices and available security configurations.
Key questions include:
Where will information be processed and stored?
What retention arrangements apply?
Can submitted information be used for model improvement?
Which employees and connected services can access the information?
How are international data transfers handled?
What happens to information when the organisation ends its subscription?
Firms should review the applicable commercial agreement and data processing documentation.
Under UK GDPR, a Data Protection Impact Assessment (DPIA) is required when processing is likely to result in a high risk to individuals, as explained in the Information Commissioner's Office guidance.
How can firms control autonomous tasks in Claude?
Claude Cowork's autonomous task capabilities can work across authorised files, tools and connected services. Firms should review the permissions granted to these capabilities, particularly when handling sensitive information or performing actions on behalf of employees.
Three safeguards are important:
Limit access: Restrict files, connectors and business systems to those required for the task.
Control actions: Require human approval for consequential operations, particularly changes to client records or external communications.
Maintain oversight: Use available activity records and establish procedures for investigating unexpected actions.
Alternit One's workshop highlights inherited permissions as a particular concern when autonomous tools interact with connected systems. These risks deserve a separate assessment alongside organisation-wide security settings.
The companion article, The hidden security risks of Claude Cowork for UK financial firms, examines inherited access, unintended data exposure and approval controls in more detail.
How can financial firms prevent shadow AI?
A clear AI usage policy helps prevent employees from processing confidential information through unapproved personal accounts or integrations.
The policy should explain which tools employees may use, what information they can share and which activities require additional approval.
Training should reflect the needs of different departments. Investment teams handling confidential research, operations teams processing client information and developers connecting AI to internal systems may require different safeguards.
Firms should update their policies as AI capabilities, integrations and regulatory expectations change.
How can Alternit One help firms adopt Claude securely?
Alternit One helps financial services firms review their Claude deployment, identify configuration risks and establish suitable security and governance controls.
Its secure Claude deployment framework examines organisation-wide settings, Claude Code, desktop integrations and autonomous tasks, with particular attention to data access, automation and regulatory requirements.
Contact Alternit One to discuss a Claude security configuration review for your organisation.
