Analysis
From AI-generated content to agentic action: Security and safety threats in generative AI
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Why it matters
The survey maps how attack surface and potential harm grow as AI systems gain autonomy to execute real-world actions, giving defenders a structured view of agentic threats and the governance gaps in current safeguards.
A review paper in the Journal of Information and Intelligence titled 'From AI-generated content to agentic action' surveys the security and safety implications as generative AI systems move from producing content to retrieving data, invoking tools, and executing actions through tool chains and external APIs. It analyzes content-level, model-level, and agentic threats alongside countermeasures such as detection, watermarking, alignment, and emerging agentic safeguards, arguing that attack-surface expansion outpaces defensive responses.