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AI Governance and Security: Balancing Innovation and Control
Jan 22, 2025 0 Comments
AI introduces new risks—data privacy, bias, and model integrity. This article outlines Secory’s governance approach for trustworthy AI.
AI systems rely on sensitive data and opaque models.
AI Governance ensures transparency and accountability across the lifecycle:
- Data Readiness: quality and consent.
- Model Risk Assessment: bias detection & explainability.
- Access Controls: who can train, deploy, or query models.
- Monitoring: drift detection and incident response for AI systems.
Secory helps organizations embed AI controls into existing cyber and data governance frameworks so innovation remains secure and ethical.
Responsible AI is built on trust and transparency—not just algorithms.
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