Best Practice

Secure Agentic Architecture for Enterprises

Cluster Reply supports organisations on their journey towards the safe, compliant and scalable adoption of Artificial Intelligence, integrating security, governance and FinOps controls directly into agentic architectures.

Advanced Implementation of Enterprise AI Systems

Thanks to the distinctive expertise built up with Microsoft frameworks, Cluster Reply supports clients in putting enterprise AI systems into production, not merely experimental, through the Secure Agentic Architecture, a solution based on Microsoft’s AI Gateway and enhanced with proprietary controls for security, compliance and observability.

Cluster Reply implements, customises and secures the entire life cycle of enterprise AI systems.

AI Gateway Hardening

Integrating Microsoft’s AI Gateway is only the first step: Cluster Reply extends it with advanced security controls based on the OWASP LLM Top 10 and the Microsoft Security Stack (Purview, Sentinel, Defender for Cloud, Presidio).

Explore the key steps Cluster Reply follows in every project.

Conditional Access Policies

Throttling and Rate-limiting

Semantic Caching and Controlled Routing

Microsoft Sentinel and Log Analytics

Sensitive Data Protection

We use Microsoft Purview and Presidio to classify, mask and protect sensitive data within prompts and generated responses.

Information Protection

Avoid information leakage (PII, IP, confidential data).

Data Loss Prevention

Apply Data Loss Prevention in real time even on AI interactions.

Regulatory compliance

Maintain compliance with GDPR and AI Act throughout the value chain.

Governance and monitoring

Cluster Reply can enable full visibility across all AI flows.

Metrics
Monitoring

It’s possible to view metrics at the token and model level, with specific dashboards in Log Analytics or Sentinel.

Cost
control

It is possible to view the budget and consumption (FinOps) policies to keep costs under control and allocate them to business owners.

Automatic response
to violations

It is possible to view alerts and SOAR automations to automatically respond to any deviations or breaches.

Prompt validation and security

Every interaction is subject to automatic prompt validation and normalisation. In addition, we implement automatic fact-checking controls and semantic validation via Azure AI Foundry and Sentinel. In this way it is possible to prevent:

Prompt injection or context manipulation.

Leakage of sensitive data.

Semantic deviations from expected behavior.

Discover how to move AI from simple experimentation to a secure, governed and scalable ecosystem