AI Assurance: Security Evaluation

Our security assessment service meticulously evaluates your AI infrastructure and applications, with a particular focus on deployments utilizing Amazon SageMaker and Amazon Bedrock. Over a period of approximately 2-3 weeks, we identify and address the most critical vulnerabilities found in AI applications, including Large Language Models (LLMs), offering a robust protection strategy.

This assessment includes an analysis of:

Prompt Injection Protection: Safeguarding against unauthorized inputs that could manipulate AI behavior.

Insecure Output Handling Mitigation: Ensuring AI-generated outputs do not compromise data security.

Training Data Poisoning Prevention: Protecting AI from malicious data inputs that could skew model behavior.

Model Denial of Service (DoS) Resilience: Enhancing defenses against attacks designed to overload AI systems.

Supply Chain Vulnerability Checks: Securing the components that contribute to AI model development and deployment.

Sensitive Information Disclosure Prevention: Implementing measures to prevent AI from inadvertently revealing confidential data.

Insecure Plugin Design Correction: Assessing and improving third-party plugin security that interacts with AI systems.

Excessive Agency Limitation: Ensuring AI does not perform unintended or unauthorized actions.

Overreliance on LLMs Assessment: Evaluating dependency on LLMs and recommending diversification of solutions.

Model Theft Protection Strategies: Securing AI intellectual property against unauthorized access and duplication.

Deliverables

Security Assessment Report: A comprehensive document detailing the findings from the assessment of your AI deployments.

This report includes:

• Specific vulnerabilities identified within your AI infrastructure and applications.
• An assessment of the impact of these vulnerabilities on your operations.
• Recommendations for immediate actions to mitigate identified risks.

Proposal for Remediation Services: Following the assessment, we provide a tailored proposal outlining:

• An estimate for zeb-provided customized remediation services designed to address the specific vulnerabilities identified in the security assessment report.
• A step-by-step plan for implementing security improvements, including timelines and milestones.
• Guidance on best practices for maintaining a secure AI environment moving forward.

Next Steps

1. Schedule an initial consultation to discuss your unique needs.
2. Receive a customized proposal tailored to your AI environment.
3. Begin the comprehensive assessment process to secure and enhance your AI deployments.