AI/LLM Red Teaming Service

Overview: Altimetrik offers a comprehensive AI/LLM Red Teaming service with a focus on AWS environments. We simulate real-world attack scenarios to evaluate the security of your AI systems, leveraging AWS tools and services to enhance their resilience and compliance.

Key Offerings:

1. Adversarial Testing: Conduct thorough testing to identify vulnerabilities in AI models deployed on AWS by simulating adversarial attacks.

2. Model Evaluation: Assess the robustness of AI models and provide recommendations for improving security and performance in AWS.

3. Threat Landscape Analysis: Analyze the current threat landscape to understand potential risks and adversaries targeting your AWS-based AI systems.

4. Risk Assessment: Identify and assess risks associated with AWS-based AI/LLM implementations to minimize potential impacts.

5. Compliance Review: Ensure your AI systems comply with relevant regulations and industry standards specific to AWS deployments.

6. Incident Response Planning: Develop and implement effective incident response plans for security breaches involving AWS-based AI systems.

7. Security Program Development: Design and implement security programs tailored for AI/LLM deployments within AWS.

8. Policy and Procedure Development: Create and maintain security policies and procedures specifically for AWS-based AI systems.

9. Training and Awareness: Develop and oversee training programs to educate employees on AI security best practices within AWS environments.

10. Custom Engagements: Tailor AI/LLM Red Teaming services to meet the unique AWS requirements and security needs of your organization.

11. Detailed Reporting: Receive comprehensive reports on the security posture of your AWS-based AI systems, including risk assessments and strategic recommendations.

Used AWS Tools:

Amazon SageMaker (for deploying and evaluating machine learning models)

AWS Lambda (for executing custom adversarial testing scenarios)

AWS Step Functions (for orchestrating evaluation workflows)

AWS Threat Intelligence (for integrating external threat intelligence into AWS environments)

AWS Security Hub (for centralized threat and vulnerability management)

AWS Risk Manager (for assessing and managing cloud-specific risks)

AWS Config (for assessing configuration risks)

AWS Artifact (for compliance documentation and audit reports)

AWS Well-Architected Framework (for compliance best practices)

AWS CloudTrail (for logging and monitoring AI-related incidents)

AWS Systems Manager Incident Manager (for coordinating response efforts)

AWS GuardDuty (for monitoring and responding to AI-related threats)

AWS IAM (for managing policies related to AI/LLM access and permissions)

AWS Organizations (for policy enforcement across multiple AWS accounts)

AWS Training and Certification (for AWS security and AI-specific training)

AWS Well-Architected Tool (for educating teams on best practices)

AWS Managed Services (for custom red teaming engagements and managed security)

AWS CloudWatch (for detailed monitoring and reporting)