AI and LLM Security Assessment
Analysis, Assessment and Security Posture of AI LLM
IT Minister can provide an in-depth expertise in LLM security, combining technical proficiency with a deep understanding of regulatory and ethical considerations.
We offer end-to-end security assessment that not only identify risks but also provide actionable recommendations and support for secure and compliant LLM deployments.
By combining cutting-edge expertise with a client-centric approach, our comprehensive and tailored Large Language Model (LLM) Security Assessment aims to position ourselves as the trusted partner for organizations seeking to harness the power of LLMs while ensuring the highest levels of security and responsible deployment with confidence.
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)
Get in touch to learn more in detail about how we can support your cyber requirements.