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ZDNET's key takeaways
As AI adoption speeds ahead, major security flaws remain unsolved.
Users and businesses should stay up to date on vulnerabilities.
These four major issues still plague AI integration.
AI systems are under attack on multiple fronts at once, and security researchers say most of the vulnerabilities have no known fixes.
Threat actors hijack autonomous AI agents to conduct cyberattacks and can poison training data for as little as 250 documents and $60. Prompt injection attacks succeed against 56% of large language models. Model repositories harbor hundreds of thousands of malicious files. Deepfake video calls have stolen tens of millions of dollars.
The same capabilities that make AI useful also make it exploitable. The rate at which these systems are advancing intensifies that reality by the minute. Security teams now face a calculation with no good answer: fall behind competitors by avoiding AI, or deploy systems with fundamental flaws that attackers are already exploiting.
Also: 10 ways AI can inflict unprecedented damage in 2026
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