Unit 42 Develops Agentic AI Attack Framework

Unit 42's research introduces a framework illustrating how Agentic AI—autonomous systems capable of independent decision-making—can be weaponized to enhance the speed, scale, and sophistication of cyberattacks. By automating tasks such as reconnaissance, exploitation, and data exfiltration, these AI agents can execute attacks with minimal human intervention. The study highlights a significant reduction in the mean time to exfiltrate (MTTE) data, dropping from nine days in 2021 to two days in 2024, with some incidents occurring in under an hour. Real-world examples include the use of deepfake technology for social engineering, AI-assisted ransomware negotiations, and AI-powered productivity assistants identifying sensitive credentials. The research emphasizes the need for organizations to adapt their cybersecurity strategies to defend against these rapidly evolving threats 

https://www.paloaltonetworks.com/blog/2025/05/unit-42-develops-agentic-ai-attack-framework

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