Mastering AI risk: An end-to-end strategy for the modern enterprise
Briefly

The article discusses the increasing sophistication of cyber threats facilitated by AI technologies, including hyper-personalized attacks and deepfakes that deceive employees into financial scams. It emphasizes that senior executives are prime targets for such attacks. The article advocates for a life-cycle approach to managing AI cyber risks, which includes dynamic governance, advanced technological tools, workforce training, and ongoing response and recovery strategies. Key to this approach is continuous improvement through iterative evaluation of risks and crisis management, adapting to the constantly changing landscape of AI capabilities and threats.
Hyper-personalized attacks leverage AI to analyze data sets for tailored emails and calls, increasing the likelihood of deception and fraud.
Deepfake technology has advanced, enabling realistic audio and video that can trick employees into financial fraud, highlighting the need for heightened awareness.
A life-cycle approach to AI cyber risk integrates governance, technology, training, and response, adapting to the rapidly evolving AI threat landscape.
Ongoing evaluation and continuous improvement post-incident are crucial for effective risk management in AI, ensuring responsiveness to new threats.
Read at InfoWorld
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