Articles for tag: agent hijacking, AI safety, automated tasks, Cybersecurity, evaluation frameworks, security risks, U.S. AI Safety Institute

Market News

Enhancing AI Agent Hijacking Evaluations: Techniques for Improved Security and Performance in Artificial Intelligence Systems

The U.S. AI Safety Institute has explored the security risks associated with AI agents, particularly focusing on agent hijacking, where attackers manipulate AI systems to carry out harmful tasks. Their research highlights the importance of continuously improving evaluation frameworks to assess these risks effectively, considering task-specific attack performance and the need for adaptive testing strategies. ...

Market News

Mastering Multi-Agent Evaluation Systems: Key Strategies for Success in 2025

Discover the exciting realm of Multi-Agent Systems (MAS), where multiple AI agents collaborate to solve complex problems and improve productivity. These systems go beyond simple tasks, working independently and efficiently to achieve shared goals. To ensure their success, it’s crucial to evaluate their performance through metrics that assess cooperation, resource usage, and output quality. Building ...

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