State cybersecurity officials are considering the use of generative artificial intelligence (AI) and implementing robust security measures to safeguard data, systems, and citizens. The article highlights the importance of categorizing generative AI use cases and implementing strong third-party risk management programs.
Exploring the Potential of Generative AI: Cybersecurity Considerations
( Credit to: Statescoop )
State cybersecurity officials are considering the use of generative artificial intelligence (AI) and implementing robust security measures to safeguard data, systems, and citizens. The article highlights the importance of categorizing generative AI use cases and implementing strong third-party risk management programs.
( Credit to: Statescoop )
As the use of generative AI increases, there are concerns about potential misuse and unintended consequences. Cybersecurity officials, such as CISOs, are taking steps to ensure responsible and secure adoption of this technology. They recognize the need to establish robust cybersecurity measures and control mitigation strategies.
Vitaliy Panych, the CISO for California, emphasizes the importance of categorizing generative AI use cases into low, medium, and high-risk categories. This categorization helps determine the necessary level of cybersecurity protections. For example, using generative AI for financial transactions differs from using it to manage critical infrastructure like dams. Panych stresses the need to overlay security controls and evaluate their effectiveness in a federated governing environment.
Greg Rogers, the Maryland CISO, echoes Panych's sentiments. He emphasizes the importance of understanding the purpose of generative AI and implementing strong third-party risk management programs. This approach helps protect data, systems, and residents.
California, home to 35 of the 50 major AI companies, recognizes the need to ensure the responsible and secure use of generative AI. By mapping use cases and implementing appropriate security controls, CISOs can mitigate potential risks and safeguard critical infrastructure. This approach involves considering the unique aspects of AI and treating it like any other technology, while also understanding its intricacies.
To support the responsible adoption of generative AI, organizations like U.S. Digital Response have launched initiatives to assist state and local governments. These efforts aim to provide guidance and expertise in leveraging generative AI effectively. Consulting firms like McKinsey advise organizations to adopt a pilot, scale, and adopt approach when implementing generative AI, ensuring a gradual and measured integration.
The increasing use of generative AI raises concerns about deepfake technology and its potential to deceive viewers. In response, Wisconsin has introduced regulations requiring the labeling of AI-generated materials in campaign ads, ensuring transparency and preventing misinformation.
As states continue to explore the potential of generative AI, cybersecurity officials emphasize the importance of understanding its purpose and implementing robust security measures. By doing so, they can harness the benefits of this technology while safeguarding data, systems, and citizens.
