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Top 4 Consumer and Enterprise GenAI Cyber Risks and How to Combat Them
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In this episode of the SecurityANGLE, theCUBE Research's Shelly Kramer is joined by Jo Peterson, analyst, engineer, and member of theCUBE Collective community, for an exploration of four of the most pressing generative AI risks that keep CISOs up at night:
- Model training and attack surface vulnerabilities
- Data privacy
- Corporate intellectual property exposure
- Generative AI jailbreaks and backdoors
After exploring these four major security risks facing organizations today as it relates to generative AI, the conversation turned to an exploration of cybersecurity best practices for using generative AI and advice on where and what to focus on. This includes: Building AI governance in your organization, training and mentoring employees, identifying and classifying corporate data, and understanding how data governance and security tools work best together.
The last part of the episode focused on a quick cybersecurity / AI Security tool roundup from vendors we are tracking. These vendors and their AI security tools include:
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