What happened
Adetunji Oludele Adebayo, a governance, risk, and compliance lead in generative AI security, has been honored with a 2025 Global Recognition Award for Excellence in Cybersecurity, recognizing his work on the SAIS-GRC framework, a model that integrates security controls, governance, and regulatory alignment to help organizations manage risks in artificial intelligence systems.
Who is affected
The award and Adebayo’s work are relevant to CISOs, security architects, risk and compliance leaders, and teams involved in deploying AI systems in enterprise environments. Organizations adopting or scaling AI models, especially those in regulated industries, are impacted by the frameworks and practices that aim to strengthen security posture and compliance.
Why CISOs should care
As AI adoption grows, so does the attack surface and regulatory scrutiny around its use. Adebayo’s SAIS-GRC framework addresses adversarial risks such as data poisoning and model manipulation, aligns AI deployments with standards like ISO 27001/27002, and integrates governance with technical controls at scale. This kind of structured approach can help CISOs both mitigate emerging threats and prepare for evolving regulatory expectations, including governance models like the NIST AI Risk Management Framework and laws such as the EU AI Act.Â
3 practical actions
- Review AI governance frameworks: Evaluate and adopt structured models that embed security and compliance controls into AI system lifecycles, ensuring adversarial risks are mitigated before deployment.
- Align with standards: Map AI security practices to established frameworks (ISO 27001/27002, NIST AI RMF) to support audit readiness and regulatory compliance across jurisdictions.Â
- Integrate monitoring and validation: Implement intelligent monitoring and regular validation routines for AI models to detect unusual behavior and ensure models perform securely in production environments.