SECNORA's LLM Security Audit is a consulting service that performs systematic security examinations of Large Language Model (LLM) deployments. The service is structured around the OWASP LLM Security & Governance Checklist and incorporates MITRE ATT&CK risk analysis frameworks. The audit process covers four main areas: 1. Adversarial Risk Identification and Mitigation — Detection and analysis of adversarial attacks (model manipulation to produce biased or harmful outputs) and model poisoning (injection of malicious training data to degrade model performance). 2. AI Asset Management — Implementation of data encryption, access control mechanisms, and data governance protocols to protect algorithms, datasets, and sensitive information associated with LLM deployments. 3. Employee Training — Security awareness and training programs aimed at equipping staff to maintain LLM security within their organizations. 4. Governance and Compliance Frameworks — Development of governance policies to support ethical AI usage, regulatory compliance, and ongoing monitoring of LLM systems. The service delivers risk assessments, security control recommendations, data governance improvements, and ongoing support. SECNORA is a CREST-accredited cybersecurity consulting firm specializing in Information Security, Governance, Risk, and Compliance.