Right-sizing AI’s Impact
Despite the hype, 90% of enterprises are still in the early stages of GenAI adoption. This phase is marked by significant challenges, including unmanaged data use, copyright issues, and emerging privacy risks. It’s essential for organisations to balance the excitement around AI with practical, manageable steps.
Implementing AI TRiSM
AI Trust, Risk, and Security Management (AI TRiSM) is a framework designed to mitigate the risks associated with AI. Key components include content anomaly detection, robust data governance, and enhanced application security. Implementing AI TRiSM can help organisations manage AI-related risks effectively.
Securing GenAI Applications
Securing GenAI applications requires a multi-faceted approach. Organisations must ensure baseline security controls for web, SaaS, and cloud infrastructure. Additionally, specific measures such as acceptable use policies, security checklists, and bot detection controls are vital to protect GenAI applications.
Addressing Key Risk Areas
GenAI introduces new risk categories, including content anomalies, data protection issues, and application security threats. Organisations must prioritise these areas to safeguard their operations and data integrity.
Preparing for the Future
As AI technologies continue to evolve, it’s crucial for organisations to integrate AI into their cybersecurity strategies. This includes updating risk management programs, preparing for new threats, and continuously adapting to the changing landscape.
Conclusion
By right-sizing AI’s impact, implementing AI TRiSM, securing GenAI applications, and addressing key risk areas, data centre professionals can harness AI’s value while managing its risks.