Top Four Generative AI Cyber Risks Keeping CISOs Up at Night: A Deep Dive

In this episode of the SecurityANGLE, host Shelly Kramer and analyst Jo Peterson discuss the top four generative artificial intelligence cyber risks that keep CISOs up at night. These risks include model training and attack vulnerabilities, data privacy, corporate IP exposure, and generative AI jailbreaks and backdoors.

The discussion highlights the growing adoption of generative AI and the lack of preparedness among organizations to manage the associated risks. With generative AI expected to reach 77.8 million users by 2024, it is crucial for companies to develop comprehensive policies and governance frameworks to mitigate these risks.

The episode also covers cybersecurity best practices for using generative AI, including building an AI governance plan, training employees, data discovery and classification, and integrating data governance and security tools. These practices are essential for ensuring the safe and responsible deployment of AI tools within organizations.

Additionally, the episode highlights seven cybersecurity solutions/vendors offering solutions for securing generative AI, such as Google Cloud Security AI Workbench, Microsoft Copilot for Security, CrowdStrike Charlotte AI, Howso, Cisco Security Cloud, SecurityScorecard, and Synthesis AI.

Overall, the episode emphasizes the importance of proactive risk management and the need for organizations to prioritize cybersecurity measures when adopting generative AI technologies. By implementing best practices and leveraging advanced security solutions, companies can better protect themselves against the evolving threats posed by generative AI.