1
Governance framework for managing AI risks—ethical use, transparency, data protection, and accountability.
2
Aligns AI lifecycle management with established security and privacy controls (ISO 27001/27701).
1
Establishes AI policies, governance roles, and oversight committees within your organization.
2
Clarifies responsibilities for AI system design, development, deployment, and ongoing monitoring.
1
Automates AI Impact Assessments (AIA), DPIA, and risk evaluations.
2
Maintains documentation, consent purposes, and decision logs for transparency and explainability.
1
Interoperates with global regulations—DPDPA, GDPR, EU AI Act—and integrates with security/privacy frameworks.
2
Provides audit-ready evidence and assurance for AI governance.
1
Policy Register linked to RoPA, risk scoring, and impact assessment workflows.
2
Centralized governance and oversight with customizable roles and ownership assignment.
1
Conduct AI Impact Assessments, DPIAs, and Ethical Reviews through pre-built templates mapped to ISO 42001 clauses.
2
Auto-score and track risk evaluation and mitigation steps.
1
Maintain AI usage logs, privacy notices, and decision records in unified dashboards.
2
Automate disclosures to regulators, auditors, and stakeholders.
1
Integrate DSPM engine to classify data used in AI models, monitor exposures, and enforce sharing/retention rules.
2
Scan data pipelines for sensitive attributes used in training, profiling, or automated decision-making.
1
Embed fairness, human oversight, and bias mitigation directly into AI governance workflows.
2
Continuous monitoring for non-conformance, exceptions, and audit gaps.
