Glossary – Security, Compliance & Governance
This section defines how enterprises ensure AI systems operate safely, ethically, and in compliance with international standards. These terms cover governance, privacy, and accountability measures that protect data and uphold institutional integrity.
Understanding Security, Compliance & Governance
This section defines how enterprises ensure AI systems operate safely, ethically, and in compliance with international standards. These terms cover governance, privacy, and accountability measures that protect data and uphold institutional integrity.
Glossary Terms
| Term | Description |
|---|---|
| AI Governance | Framework ensuring accountability, transparency, and responsible oversight in AI systems. |
| Compliance Automation | Automated monitoring and validation of adherence to ISO, GDPR, and internal policies. |
| Access Management | Security process that controls user permissions and safeguards sensitive data. |
| Model Auditing | Evaluation of AI models for fairness, bias detection, and regulatory compliance. |
| Data Privacy | Protection of personal data aligned with privacy regulations and ethical standards. |
| Ethical AI | Practice of developing AI with transparency, fairness, and human oversight. |
| Risk Scoring | Quantitative method for assessing operational or security risks associated with AI systems. |
| Policy Intelligence | AI-powered analysis of regulatory frameworks and institutional compliance policies. |
Insights into Security, Compliance & Governance
Security and compliance drive trust in AI adoption. Through AI Governance and Compliance Automation, organizations protect user data while demonstrating accountability to regulators and stakeholders.
Related Categories
Data, Cloud & Infrastructure
Data and cloud infrastructure form the backbone for scalable AI adoption. This category defines systems and processes that ensure data reliability, real-time access, and operational efficiency across enterprise ecosystems.
Consulting & Services
Consulting and services define how organizations plan, execute, and sustain AI transformation. This section highlights advisory, implementation, and managed service models that accelerate value realization.
Analytics & Intelligence
Analytics and intelligence convert raw data into actionable insights. This category explains how AI integrates with analytics to provide real-time visibility, KPI tracking, and predictive decision-making for modern enterprises.