Check Point Lakera Implementation Accelerator
ControlPlane · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
The Lakera Implementation Accelerator is a professional services engagement designed to help organizations deploy and operationalize AI runtime protection within AWS-based environments. Following initial discovery or pilot activities, many organizations face challenges integrating security controls into production AI applications. This engagement provides a structured approach to deploying Lakera across applications built on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures.
The engagement integrates Lakera into key architectural components, including application and API layers, Amazon API Gateway, AWS Lambda, Kubernetes ingress or service mesh, and associated infrastructure. Runtime protection policies are configured to address threats such as prompt injection, data leakage, unsafe outputs, and tool misuse. Logging, monitoring, and SIEM integrations are established to ensure visibility into runtime events and alignment with existing security operations workflows.
Show the rest of the publisher’s description (1 more line)
By the end of the engagement, customers have a working Lakera deployment integrated into one or more AI applications, with tuned policies, operational runbooks, and defined ownership models. A structured rollout plan is delivered to enable scaling Lakera across additional applications, allowing organizations to move confidently from pilot to production while maintaining control over enforcement and deployment decisions.
Highlights
Highlighted by the publisher on AWS Marketplace.
Deploy AI runtime protection across real applications – Integrate Lakera with APIs, Kubernetes, and AWS-native architectures including API Gateway and Lambda.
Protect against AI-specific threats – Configure policies for prompt injection, data leakage, unsafe outputs, and agent misuse.
Move from pilot to production with confidence – Deliver runbooks, monitoring integration, and a structured rollout plan for scaling AI security.
Agent build and provenance
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Sources
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