Artificial intelligence (AI) is rapidly advancing and being adopted at a fast pace, but with this growth comes vulnerabilities that can make AI systems susceptible to attacks. From malicious data leading to incorrect decisions to hacking for sensitive data access, the challenges are numerous and complex. In response to these threats, it is essential to prioritize securing AI models, applications, data, and infrastructure.
A panel discussion featuring InformationWeek’s editor-in-chief, Sara Peters, Google Cloud’s senior staff security consultant, Anton Chuvakin, and Trustwise AI’s CEO, Manoj Saxena, emphasized the critical need for rigorous security measures in AI systems. The panel, part of the “State of AI in Cybersecurity: Beyond the Hype” event presented by InformationWeek and Dark Reading, explored the various aspects of securing AI systems and the evolving security risks in the AI landscape.
The discussion highlighted the importance of a proactive approach to securing AI systems, both from external threats entering the system and internal threats emanating from within. Key areas to focus on include cleaning up model training data, detecting hallucinations, avoiding IP leaks, and protecting against cyber-attacks and network overloads. Evaluating security during the procurement phase of new AI tools is crucial for CIOs and CISOs, with a focus on securing models, applications, infrastructure, data, and prompts.
Overall, the conversation underscored the complexity of securing AI systems and the need for a comprehensive security framework that addresses the unique challenges posed by AI technologies. The archived panel discussion provides valuable insights for organizations looking to enhance the security of their AI systems in an increasingly digital and interconnected world.
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