Check Point Lakera Secure LLM Reference Architecture

As described on AWS Marketplace.

The Secure LLM Reference Architecture engagement from ControlPlane enables organisations to design secure, scalable, and operationally sustainable AI application architectures on AWS. The service is designed for enterprises adopting Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), copilots, and agent-based AI systems that require clear security boundaries, runtime protections, and integration with existing cloud-native controls.

Through a structured architecture-led engagement, ControlPlane reviews current-state AI platforms and defines a target-state architecture that incorporates runtime security controls, identity and access management, data protection, logging, monitoring, secrets management, policy enforcement, and incident response considerations. The engagement also defines how Lakera integrates into the customer environment to provide protections such as prompt injection prevention, sensitive data protection, and runtime policy enforcement.

Highlighted by the publisher on AWS Marketplace.

Design secure LLM, RAG, and agent-based AI architectures on AWS with clear trust boundaries and runtime security controls.

Define Lakera integration patterns alongside AWS-native identity, logging, monitoring, and Kubernetes security services.

Accelerate enterprise AI adoption with implementation-ready reference architectures suitable for regulated and cloud-native environments.