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WHEN AI GOES ROGUE: Strengthening the Bars of the Cage

Published by Trend Micro

The Trend Micro Rogue AI eBook explores emerging cybersecurity risks associated with rogue AI, categorizing threats into accidental, subverted, and malicious AI. It highlights real-world examples like AI malware disguising itself as system updates, model poisoning by APT groups, and resource exhaustion attacks that exploit AI self-replication. The report outlines key vulnerabilities, including excessive functionality, permissions, and autonomy, which can lead to data breaches, biased decision-making, and misinformation spread. Trend Micro recommends strict AI configurations, role-based access controls, continuous monitoring, and human oversight to prevent AI-driven cyber threats and reinforce AI security governance.

 

 

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Related Categories DDoS Protection, Cybersecurity, Artificial Intelligence, Generative AI, Deep Learning, Cognitive Computing, NLP, AI Ethics, AI Applications, Threat detection, Intrusion prevention, Security Analytics

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