Nuvrix AI Security Review

Overview The Nuvrix AI Security Review is a fixed-scope engagement that assesses the security of your AWS-hosted AI systems. It covers the application layer, the model layer, and your cloud security posture, giving you a complete picture of where your AI systems are exposed and what to do about it.

Most organisations running GenAI workloads on AWS have tested their models for accuracy and performance. Very few have tested them for jailbreaks, prompt injection, data leakage, multi-turn attacks, or the infrastructure misconfigurations that leave model outputs and training data exposed. This engagement covers all of it.

What we test We run automated red-teaming against your GenAI endpoints using industry-standard tooling covering attack probe types including jailbreaks, encoding attacks, and data leakage scenarios. We scan your AWS environment for misconfigurations - IAM, network exposure, logging gaps, and Bedrock Guardrails configuration - using security tooling with mappings to CIS, ISO 27001, etc and AWS Foundational Technical Review controls. For regulated clients, we include multi-turn attack chain testing.

What you receive

• Red-team findings report with validated, triaged results
• Cloud posture findings mapped to your compliance obligations (Essential Eight, CPS 234, ISO 27001 etc as applicable)
• Bedrock Guardrails configuration review
• Prioritised remediation backlog with effort estimates
• Findings workshop with your technical team and executive sponsor
• Retainer proposal to maintain the security posture we establish

Who it's for Organisations running GenAI workloads on AWS - particularly those in financial services, healthcare, or government where AI security obligations are explicit. Also suited to any team about to launch a customer-facing AI product and wanting assurance before go-live.

How it works The engagement runs over two weeks. We conduct a scoping call to confirm the AI systems in scope, deploy our collection tooling using read-only access to your AWS environment, and run red-teaming against the endpoints you nominate. We triage all findings - removing false positives and ranking by exploitability and blast radius - before delivering a draft report. We close with a findings workshop and a retainer proposal.