Your CISO has questions. Your legal team has questions. Your auditors will have questions. Our Claude AI governance service answers all of them — before deployment, not after an incident.
Most enterprises deploying Claude underestimate the governance surface area. It's not just about whether Claude is "allowed" to process your data — it's about operator vs. user permission boundaries, system prompt injection risks, MCP server data leakage, audit trail requirements, and the regulatory implications of AI-generated output in regulated processes.
Generic AI governance frameworks don't address Claude-specific controls. Claude Enterprise has a sophisticated permissions model — operator system prompts, user-level overrides, tool access restrictions, and conversation data handling — that needs to be configured deliberately for your organisation. Out-of-the-box Claude Enterprise is not configured for financial services, healthcare, or legal environments. That configuration requires expertise in Claude's architecture.
Our enterprise implementation work spans financial services, healthcare, and legal firms — sectors where governance isn't optional. We've built the governance frameworks, had them reviewed by legal and compliance teams, and refined them against real audit requirements. That experience is what we bring to your deployment.
Design and implement the operator/user permission model for your Claude Enterprise deployment. Define which employees access Claude, at which permission level, with which data sources, and subject to which usage policies. Integrate with your existing SSO and directory services.
Document exactly what data transits Claude's infrastructure, what is stored, for how long, and in which regions. Map your Claude data flows against GDPR, CCPA, HIPAA, or sector-specific requirements. Provide a data processing record suitable for DPA agreements.
Harden your system prompts against injection attacks and privilege escalation attempts. Define prompt engineering standards that prevent users from eliciting behaviour outside your governance policy. Implement prompt version control and change management.
Configure comprehensive audit logging for all Claude interactions — who used it, when, what data was accessed, what was generated. Integrate with your SIEM. Design anomaly detection rules for unusual usage patterns. Produce compliance-ready audit reports.
Audit and secure all MCP server connections. Enforce least-privilege tool access — Claude should only be able to read, write, or execute what each use case requires. Design authentication patterns for MCP integrations with internal systems like Salesforce, Jira, or internal databases.
Draft the governance policy documents your organisation needs: an AI acceptable use policy, an AI-generated content disclosure policy, a data handling standard for AI interactions, and an incident response procedure for AI-related security events.
Our governance frameworks are designed for organisations subject to regulatory oversight — not generic enterprise environments.
Data subject rights, lawful basis for processing, DPA templates, cross-border transfer compliance.
PHI handling controls, BAA requirements, minimum necessary access, breach notification procedures.
AI output audit trails for regulated advice, human oversight requirements, model risk governance.
AI security controls mapping, audit evidence generation, third-party risk assessment documentation.
We review your existing security policies, data classification scheme, regulatory obligations, and current Claude configuration (if deployed). We interview your CISO, DPO, legal counsel, and IT security leads to understand your risk appetite and compliance requirements.
We produce a risk register mapping your planned Claude use cases against your regulatory obligations. For each use case, we assess data sensitivity, AI output risk (is this output being relied upon in a regulated process?), access surface area, and audit requirements. This becomes the basis for your governance controls.
Based on the risk assessment, we design and implement your Claude governance controls: permission architecture, system prompt standards, MCP security patterns, data handling configurations, and audit logging setup. All controls are documented with rationale and mapped to specific regulatory requirements.
We draft the policy documents your legal and compliance teams need: AI acceptable use policy, data processing records, DPA schedules for Claude, and incident response procedures. Drafted for your specific regulatory environment — not adapted from generic AI policy templates.
A final review session with your CISO and compliance team to validate that the governance framework satisfies your audit requirements. We provide a governance evidence pack suitable for external audit, ISO 27001 certification, or regulatory inspection. For ongoing support, ask about our Claude strategy and roadmap retainer arrangements.
You need to sign off on Claude before deployment and require a documented security architecture, not reassurances from product marketing.
You need DPA schedules, acceptable use policies, and audit trail documentation before your organisation can process personal or regulated data through Claude.
Healthcare, financial services, and legal teams operating under HIPAA, FCA rules, or legal privilege obligations need governance frameworks purpose-built for their sector.
Organisations that deployed Claude quickly and now face an audit, a compliance review, or a security incident who need to retrofit proper governance before it becomes a problem.
Governance is the foundation. Build on it with implementation and strategy.
Governance is one component of a complete Claude strategy. Align security controls with your broader implementation roadmap.
Once governance is established, we deploy Claude across your organisation with security controls embedded from day one.
Secure MCP server architecture that integrates with your internal systems without exposing sensitive data to uncontrolled access.
Don't deploy Claude and hope governance catches up. Our security and governance engagement puts the controls in place before the first production user sees the system.
No. Claude Enterprise includes a commitment from Anthropic that conversation data is not used to train models. This is a standard contractual provision in the Enterprise tier. However, the data handling practices around storage, retention, and logging within your own systems are your responsibility — and that is exactly what our governance framework addresses. We help you document your Claude data flows accurately for compliance and audit purposes.
In many cases, yes — but the governance architecture matters. For HIPAA-covered entities, you need a Business Associate Agreement (BAA) with Anthropic, which is available under Claude Enterprise. For legal firms handling privileged materials, the governance concern is more about access controls and audit trails than data residency. We've designed Claude deployments for healthcare providers and law firms and can tell you specifically what is and isn't viable for your use case in our initial consultation.
Claude's permission model distinguishes between operators (your organisation, configuring Claude via system prompts and API settings) and users (your employees or customers interacting with Claude). Operators can grant or restrict user permissions — for example, allowing users to request specific tool access or preventing them from overriding compliance guardrails. Without deliberate configuration of this model, either users have more access than your governance policy intends, or the system is more restrictive than it needs to be. Properly configuring this hierarchy is a core component of our enterprise implementation service.
A standalone governance engagement typically runs 4-6 weeks and is priced based on organisational complexity, regulatory scope, and the number of Claude use cases to govern. For clients who are also running our strategy engagement or implementation project, governance is typically integrated into the broader engagement rather than run separately. Contact us for a scoping call — we won't quote until we understand your specific situation.
Prompt injection occurs when a user crafts an input that overrides or manipulates your system prompt instructions — for example, convincing Claude to ignore its access restrictions or to reveal confidential system prompt content. This is a real attack vector, particularly in customer-facing Claude deployments. Our system prompt security work includes injection resistance testing, prompt engineering standards that reduce attack surface, and monitoring configurations that flag potential injection attempts in audit logs.
Yes. We offer a standalone Claude governance audit for organisations that have already deployed Claude without a formal governance framework. The audit covers your current configuration, identifies gaps against regulatory requirements and security best practices, and produces a prioritised remediation plan. It's a faster engagement than a full governance build — typically 2-3 weeks — and is a common starting point for organisations that moved fast and now need to establish proper controls before an audit or incident.