AI Governance and Security Consulting

AI governance and security consulting evaluates risk across model selection, data access, prompt injection exposure, output validation, and system integration points. Engagements produce policy frameworks covering acceptable use, data classification, retention, and PII handling in AI pipelines. Technical controls include role-based access, audit logging, human-in-the-loop checkpoints, and output filtering. Assessments examine third-party API dependencies, data residency, and model provider agreements for compliance alignment. Deliverables typically include a risk register, governance policy documentation, technical control specifications, and a prioritized remediation plan mapped to the organization's existing security posture.