Google Cloud Tech: AI Protection Demo Unveils Security Dashboard
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In this thrilling demonstration by Google Cloud Tech, viewers are taken on a high-octane ride through the world of AI protection. The team unveils a cutting-edge AI security dashboard, offering a bird's eye view of 14 projects utilizing 18 foundation models like Llama and Gemini, alongside 21 custom models trained on 27 data sets, 18 of which harbor sensitive information. Enter the SEC's risk engine, a virtual red teaming powerhouse that sifts through the AI inventory to flag toxic combinations and potential attack paths, pinpointing the riskiest AI issues. One such peril involves data poisoning risks stemming from publicly exposed buckets, threatening models like Gemini with manipulation by malicious actors.
Transitioning to the runtime risk arena, the dashboard reveals 18 instances of foundation models, with four lacking the protective embrace of model armor. This vulnerability exposes organizations to a minefield of risks, from brand reputation tarnishing to data loss through prompt ejection jailbreaks and offensive content generation. By honing in on a Gemini 2.5 Pro instance, the team demonstrates how organizations can fortify their defenses without altering applications, leveraging model armor's arsenal of detectors like malicious URL detection and sensitive data protection. The seamless integration with Vert.ex AI streamlines the process, empowering developers and security teams alike to detect and combat potential threats proactively.
As the demo unfolds, the dashboard showcases the distribution of harmful versus benign content, along with the categories of violations detected by model armor. The cherry on top? The detection of active threats against AI, illustrated by recent AI threats such as potential LLM hijacking and coordinated prompt ejection attacks. With a click, users can delve deeper into these threats, initiating an investigation and response workflow through integrated secops capabilities. This adrenaline-pumping showcase not only automates AI inventory discovery and risk prioritization but also equips organizations to combat active threats head-on, ensuring a secure AI environment for the future.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
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