Anthropic / Claude + Areebi

Areebi integrates with Anthropic's Claude model family - including Claude 4.5, Claude 4, and Claude Haiku - to deliver enterprise-grade governance on top of one of the most capable and safety-oriented LLMs available. Claude's built-in safety training is a strong foundation, but enterprises need more: data loss prevention, audit trails, access controls, and compliance reporting. Areebi provides that governance layer without compromising Claude's capabilities.

Every interaction with Claude through Areebi passes through the DLP engine, which scans prompts for sensitive data before they reach Anthropic's API. This means organisations can give their teams access to Claude's extended thinking, tool use, vision, and 200K+ context window while maintaining full control over what data leaves the organisation. API keys are managed centrally by administrators - individual users never see or handle keys directly.

Claude's long-context capability is particularly valuable for document analysis, legal review, and research workflows. Areebi ensures that even when users submit large documents for analysis, the DLP engine scans the full input, and the audit log captures the complete interaction for compliance purposes. Workspace isolation ensures that conversations in one business unit remain invisible to others.

Areebi's governance for Claude covers data protection, auditability, and policy enforcement. The DLP engine applies over 50 built-in detectors to every prompt, catching PII such as names, addresses, financial identifiers, and health information before it reaches Anthropic's infrastructure. Custom detectors allow organisations to protect proprietary data patterns - project codes, client names, internal terminology - unique to their business.

The audit logging system records every Claude interaction with full context: user identity, workspace, model selected, feature flags (extended thinking, tool use), token count, and the content of the exchange. For organisations requiring SOC 2 compliance, these logs provide the evidence that AI usage is monitored and controlled. For HIPAA-regulated environments, the combination of DLP masking and audit logging demonstrates that PHI is protected even when AI tools are in use.

Policy enforcement gives administrators granular control: restrict extended thinking to specific user groups, limit tool-use capabilities to approved functions, set per-user token budgets, and enforce rate limits to control costs. Claude's safety features and Areebi's governance layer work in concert - Claude provides model-level safety, and Areebi provides organisation-level controls, creating a defence-in-depth approach to responsible AI adoption.

Anthropic's Claude is recognised for its safety-first approach to AI development, making it a natural fit for regulated industries. Areebi augments Claude's model-level safety with organisational controls that auditors and regulators expect. The policy builder allows compliance teams to define acceptable use policies that are enforced automatically - no reliance on user training or honour systems.

For financial services, Areebi's audit trail provides examiner-ready evidence of AI governance. For healthcare, the DLP engine ensures PHI never reaches external APIs in identifiable form. For legal teams, workspace isolation and access controls create defensible boundaries between client matters. All governance configurations are versioned and auditable, so compliance teams can demonstrate not just current controls, but the history of policy changes.

To evaluate how Areebi's governance layer works with Claude in your environment, visit our trust centre for security documentation, review pricing plans, or request a personalised demo.