{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Embracing Digital Transformation","title":"#199 Cyber Defenders: Safeguarding GenAI Against Emerging Threats","html":"","width":"100%","height":180,"duration":1933,"description":"In this episode, Darren is joined by guest Chris Sistito, CEO of hiddenlayer, as we uncover the vulnerabilities threatening our digital future and explore innovative solutions to protect AI systems from exploitation and misuse.AI technologies garner significant attention for their transformative potential across multiple industries. However, this rapid technological advance also paves the way for new and unique vulnerabilities. AI models, if unprotected, expose a different kind of security turbulence not covered by traditional cybersecurity measures. Incidences such as the theft of machine learning models showcase the unique threats facing AI systems, escalating the need for developed AI cybersecurity measures. The Evolution of Cybersecurity Measures for AIConventional cybersecurity focuses predominantly on protecting the infrastructure to safeguard the data. While effective for traditional computer systems, this approach overlooks critical vulnerabilities in AI models, especially generative models and those involving reinforcement learning. AI technologies have been swiftly adopted across various sectors, increasing the urgency for cybersecurity to keep pace.The free and unchecked exchange of AI models today parallels the early days of the internet. In today’s stringent cybersecurity environment, encryption, strict access permissions, and digital signatures secure our data. However, AI models, which function similarly to code exchange and execution, largely remain overlooked regarding security. AI platforms like Hugging Face, for example, host numerous AI models that are easily downloaded and used, often without serious thought about potential security implications. The Emerging Threat Landscape in AIAI models and machine learning systems are swiftly becoming significant players in the cybersecurity arena. Threats range from malicious code hidden within model weights to simpler tactics like attaching a coin miner. These models have emerged as attractive targets...","thumbnail_url":"https://img.transistorcdn.com/IRrW2aizIeoZDn3gKLEax-JYQ8V_WzaFpHdgsslDx3k/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jM2Ji/MDk1OTdiYzA4ZWMw/NWNlOTY0N2RhMWQ3/YmY5Mi5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}