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PrivIQ AI Governance

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PrivIQ AI Governance helps organisations manage responsible AI adoption in one structured, audit-ready platform. Built around the NIST AI Risk Management Framework, NIST AI RMF Playbook and NIST AI 600-1 Generative AI Profile, PrivIQ provides a practical governance engine for organisations that use AI systems. The platform helps teams move beyond policy documents and informal oversight by turning AI governance into a clear operational programme across the NIST functions: Govern, Map, Measure and Manage. PrivIQ enables organisations to document AI systems, define governance controls, manage AI policies, assess internal and third-party AI risks, track stakeholder acknowledgements, record evidence and report on governance readiness. Teams can map AI usage across the business, capture system purpose, data sources, model behaviour, stakeholder impact, vendor involvement and risk exposure in one central environment. The platform supports fully customisable AI governance assessments with qualitative questions, checklists, threat analysis and scoring. Organisations can assess areas such as AI governance oversight, AI literacy and training gaps, AI system inventory and classification, human oversight and intervention readiness, transparency, user communication, record-keeping and evidence integrity. PrivIQ also supports AI vendor due diligence, helping teams assess AI-enabled suppliers against governance expectations such as model provenance, training data, behavioural testing, hallucination handling, sub-processors, oversight responsibilities and incident reporting. With AI-assisted, human-verified workflows, PrivIQ helps teams create and tailor policies, controls, assessment criteria, remediation tasks and reporting structures while keeping human review and approval at the centre. The platform maintains the audit trail around decisions, acknowledgements, reassessments, evidence and follow-up actions. PrivIQ AI Governance is designed for risk, compliance, privacy, legal, procurement and business teams that need a practical way to govern AI use. It provides the structure, visibility and evidence needed to support responsible AI adoption, regulatory preparedness, supplier assurance and board-level accountability.

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