The program was created by the researchers as evidence of the feasibility of such an idea, but over time the threat would be more real.
The team of researchers from the outflank created AI-Wredoson based on the open Qwen 2.5 model. According to Tom’s hardware, the software has managed to avoid Microsoft’s protector in almost 8% of cases – this is a magnitude of magnitude more effective than the results of other language models.
According to the dark reading, they plan to submit a development in August 2025 to the Black Hat Conference. The study set, the leader of “attack” outflank software Kyle Avery, spent nearly three months and $ 1,500 in model training. The result is the generation of harmful code, which the protector cannot see in 8 cases from 100.
For comparison, models from the anthropical and deepseek showed less efficiency – less than 1% and 0.5%, respectively.
However, the trend is obvious – the models are getting better. Thanks to the adoption of the study, which has been actively used since the 90s, language models can attend greater effectiveness. And while Microsoft regularly updates Defender, its software does not always know the fastest reaction to new threats.
However, researchers have emphasized that their AI-Vredenos so far remains evidence of only the feasibility of the concept. Significant more real threats to hacker attacks are leakage tools, social engineering and the use of state monitoring systems.
We remind you, earlier reported that the cheat imposed on the Secretary of State Rubio with the help of artificial intelligence.
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Source: korrespondent
I am Ben Stock, a passionate and experienced digital journalist working in the news industry. At the Buna Times, I write articles covering technology developments and related topics. I strive to provide reliable information that my readers can trust. My research skills are top-notch, as well as my ability to craft engaging stories on timely topics with clarity and accuracy.