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Google Rewards Bug Hunters with $30K Prizes for AI ‘Rogue Actions’

AI Google Security Bug Bounty Generative AI Tech Cybersecurity
October 06, 2025
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Proactive Defense
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Article Summary

Google is intensifying its efforts to proactively identify and address security vulnerabilities within its AI systems, particularly focusing on the potential for misuse and ‘rogue actions.’ The new ‘AI Bounty’ program, spearheaded by Elissa Welle, offers significant financial rewards – up to $30,000 – for researchers who can demonstrate how to manipulate Google’s AI products, such as Gemini and Google Home, to cause harm or exploit security loopholes. This includes examples like prompting AI to unlock doors or stealing data. The program goes beyond simply identifying problematic output, targeting the mechanisms by which an AI’s capabilities can be subverted. Alongside the bounty program, Google unveiled CodeMender, an AI agent designed to patch vulnerabilities in open-source projects – having already addressed 72 fixes. This two-pronged approach reflects Google’s commitment to building robust safety protocols around its rapidly evolving AI technology, acknowledging the potential risks and actively seeking external expertise to mitigate them.

Key Points

  • Google is launching a new $30K bounty program for identifying and reporting vulnerabilities in its AI products.
  • Researchers can be rewarded for demonstrating how to trigger ‘rogue actions’ from AI systems like Gemini and Google Home.
  • Google has already used an AI agent, CodeMender, to patch 72 open-source vulnerabilities, highlighting a proactive security strategy.

Why It Matters

This news is critical for professionals in cybersecurity, AI safety, and software development. The increased focus on adversarial testing—specifically targeting AI—underscores the growing urgency for robust security measures within AI systems. The substantial financial rewards encourage a broader range of talent to engage in the crucial task of identifying and mitigating potential risks before they materialize in real-world deployments. Furthermore, Google’s initiative demonstrates a shift from passively addressing AI safety concerns to actively soliciting external expertise, reflecting a more collaborative and preventative approach.

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