AI-Governance
Ensuring Compliant AI Usage in the Age of an Intelligence Revolution
When algorithms make decisions, PrivIQ’s AI-Governance keeps you in control.
Built for organizations that use AI and want to remain compliant.
AI is revolutionising every industry but without governance, it creates real risk. Aligned with the NIST Risk Management Framework, PrivIQ helps organisations demonstrate responsible AI usage, manage risk, and govern AI confidently across departments, systems, and third-party tools.
Structured, Responsible AI Governance
Ensure responsible and compliant AI usage through a governance framework aligned with the NIST AI RMF. Gain oversight, accountability, and safe AI adoption across all operations.
Map your AI directly to NIST RMF
Map your AI usage directly to the NIST AI Risk Management Framework, with structured visibility and traceability. Ensure your AI governance posture meets recognised regulatory and best-practice standards.
Continuous Risk Control & Performance Assurance
Monitor AI fairness, reliability, performance, and security through ongoing evaluations and risk controls. Proactively address issues as they emerge, supporting trustworthy AI usage that meets evolving regulatory expectations and operational standards.
Policy-Driven Accountability & Compliance
Distribute AI governance policies with secure, trackable access and automated acknowledgements. Maintain a clear audit trail while ensuring stakeholders understand their responsibilities and comply with defined governance standards.
AI Governance Controls & Criteria
NIST-Aligned Oversight for all AI users
PrivIQ offers a NIST AI RMF-aligned control framework for governing the usage of AI systems. It helps establish accountability, communicate policies, manage controls and enforce consistent governance standards for both internal and third-party AI tools.
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AI Governance Policies & Lifecycle Documentation
Standardise and Automate AI Policy Management
Easily create and distribute AI governance policies with PrivIQ. It manages documentation, versioning, stakeholder acknowledgements, and audit trails, ensuring transparent and accountable AI usage across your organization.
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AI Risk Assessments & Threat Analysis
Spot AI Risks Early - Before Liability Issues Arise
PrivIQ offers AI risk assessments tailored to your systems, evaluating bias, fairness, drift, performance, security, and third-party risk. It auto-generates mitigation tasks and improvement actions.
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Monitoring, Controls & Continuous Compliance
Always-on Assurance for Every AI System
Track model fairness, security, reliability, and documentation in real time with PrivIQ. Stay compliant with evolving laws through updated controls, prompt reviews, and an audit-ready record of your AI ecosystem.
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See PrivIQ In Action
AI Governance Tailored to Your Industry
Industries
AI Governance
Solution
Use Cases
Finance & Banking
Transparent, Fair, and Compliant AI Decisions
Ensure every automated decision meets global financial ethics and transparency standards.
- Biased credit scoring or discriminatory lending outcomes
- Algorithmic fraud detection errors
- Non-compliance with EU AI Act and GLBA data handling rules
Healthcare
Ethical AI for Life-Critical Decisions
Protect patient rights and clinical integrity with accountable, bias-free AI.
- AI diagnostics using biased or incomplete training data
- Patient data misuse or HIPAA breaches
- Inaccurate or opaque clinical recommendations
Retail & E-Commerce
Trustworthy AI for Customer and Workforce Data
Align data-driven retail systems with consumer privacy and labour laws.
- AI employee monitoring violating CCPA
- Customer data used without disclosure
- Unauthorised third-party AI integrations
Technology & SaaS
Safe and Explainable Innovation at Scale
Build, deploy, and audit generative and predictive AI responsibly.
- Copyright misuse in model training data
- Biased AI-driven hiring or performance evaluation
- Incomplete transparency in LLM outputs
Public Sector & Government
Responsible AI in High-Impact Environments
Guarantee fairness, transparency, and human oversight across citizen-facing AI systems.
- Biometric or predictive policing bias
- Lack of explainability in automated decision-making
- Privacy breaches in citizen data systems
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