Insights from Chris Dimitriadis, Chief Global Strategy Officer, ISACA. Read Chris Dimitriadis' full executive profile here.
As AI technologies continue to advance, they hold immense potential for creating value that can transform industries as a whole.
As a result, there is a major need for holistic risk management and continuous monitoring when it comes to AI, both for understanding risks within the context of specific digital ecosystems and updating control frameworks, and for ensuring that AI operates as intended.
Effective trust management requires specific approaches, such as robust monitoring systems, rigorous auditing processes and well-defined incident response plans. More importantly, in order for any initiative to address AI risks to be successful, we as an industry need to build a workforce of trained professionals.
The ISACA AI survey revealed that 85% of digital trust professionals say they will need to increase their AI skills and knowledge within two years to advance or retain their jobs. This highlights the importance of continuous learning and adaptation for cybersecurity professionals in the era of AI. Gaining a deeper understanding of how AI-powered attacks are altering the threat landscape, along with how AI can be effectively utilized by security practitioners, will be essential. As security professionals learn more about AI, they need to ensure that the methods being deployed align with an enterprise’s overarching need to maintain trust with its stakeholders.
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