Ricardo Newman

Method:

Our LLM Security Assessment goes beyond traditional security testing methods. We use NIST AI Risk Management Framework (AI RMF), OWASP-Top-10-for-LLMs, AI Procurement Guidance, Mitre ATLAS Matrix to assess your specific setup and configuration of the LLM deployed.

The assessment includes:

• Initial Consultation and Scoping - Understand the specific use cases, deployment environment, and organizational requirements.
• Data and Access Review - Evaluate the data used for training and the access controls in place.
• Model Evaluation - Assess the LLM for potential security vulnerabilities and biases.
• Compliance Audit - Ensure the LLM deployment adheres to relevant regulations and ethical guidelines.
• Risk Assessment - Identify and prioritize risks associated with the LLM deployment.
• Recommendations and Mitigation Strategies - Provide actionable insights to address identified vulnerabilities and risks.
• Implementation Support - Assist with the implementation of recommended security measures.
• Ongoing Monitoring and Optimization - Ensure continuous security and compliance of the LLM.

Potential Involvement Required:

• Key Stakeholder Engagement - Participation in initial consultation and periodic review meetings.
• Data Access and Documentation - Provide access to relevant data, documentation, and systems for review.
• Technical Collaboration - Collaboration with IT and data science teams during the assessment.
• Compliance and Legal Team Involvement - Ensure alignment with regulatory and legal requirements.

Value:

• Enhanced Security - Reduces the risk of data breaches, unauthorized access, and other security incidents.
• Regulatory Compliance - Avoids legal penalties and enhances the organization’s reputation for compliance.
• Proactive Risk Mitigation - Protects against operational risks, including biased outcomes and misinformation.
• Operational Efficiency and ROI - Secure LLM deployments ensure your AI investments are working optimally, leading to improved efficiency and effectiveness of LLM use, resulting in better performance and outcomes.
• Increased Trust - Enhances the organization’s credibility and reliability in the market.

Product - Written Report Analysis Containing the Following:

• A non-technical section with an Executive Summary for management and decision makers
• A technical section including detailed observations and tangible recommendations to strengthen the level of security and recommendations on how hardening can be applied
• Recommendations and next steps (if applicable)