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    Home»Security»How do AI red teams get hidden flaws before the attackers
    Security

    How do AI red teams get hidden flaws before the attackers

    PineapplesUpdateBy PineapplesUpdateJuly 30, 2025No Comments3 Mins Read
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    How do AI red teams get hidden flaws before the attackers
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    How do AI red teams get hidden flaws before the attackers

    But the results of that mentality are real – and immediately. “Companies are moving very fast now,” says Rohds-Hare. “And this is the speed problem.”

    New types of hackers for a new world

    This rapid development has forced the security world to develop – but it has also been expanded to participate in it. While traditional pen-testers still bring valuable skills to the red team to the red team, the landscape is opening to the background and a wide range of subjects.

    “There is a cycle of people that differ in different backgrounds,” says Sherets of Hacaron. “They cannot have a background of computer science. They cannot know anything about traditional web weaknesses, but they have some types of attendants with AI system.”

    In many ways, the AI is less about breaking the security test code and is more about understanding the language – and, in detail, people. “Skills are getting good with natural language,” Sherrets says. It opens the door to examiners with generous art, communication, and even training in psychology – any person who is able to easily navigate the emotional area of conversation, which produce many weaknesses.

    While the AI models do not feel anything themselves, they are trained on the huge trevings of human language – and reflect our feelings in ways that can be exploited. The best red teams have learned to bend in it, the crafting indicates that to get the system to break their rules, appeal to urgency, confusion, sympathy, or even manipulation to get a system.

    But no matter what the background, sherets say, the required quality is still the same: “Hacker mentality … eagerness to break things and do them to do the work that others did not think.”

    AI Red Teaming: 5 things you should know

    Since the generative AI becomes more wider, AI Red teams are important for the discovery of their unique weaknesses. There are five things here that the leaders should know:

    1. Breaking things to make strong AI: At its core, AI Red Teaming includes investigating, manipulating and even intentionally crashed to find the AI model to find weaknesses before doing malicious actors before doing malicious actors.
    2. Aye behaves like a real thing: The generic AI is potential and unexpected. Security teams cannot rely on the old rules. They should test for creative weaknesses such as social engineering, as AI systems do not always react twice in the same way.
    3. Security vs. Security: A significant difference: AI Red teams assess both safety (to prevent external loss to the AI system, data theft) and security (to protect the outside world from AI system, such as preventing harmful materials or helping misuse).
    4. Old flaws, new wrappers: Many AI weaknesses are not risk, but familiar people revive in terms of natural language. Prompt injection, for example, mirrors the SQL injection, while resources mimic exhaustion, denying service.
    5. Skill beyond the code: AI Red Teamers provide more than just technical expertise. A strong understanding of natural language, communication and even psychology can be important, as manipulating human contacts to an understanding of AI leads to many weaknesses. The core, however, is made to develop a hacker mentality – that is, a curiosity to break things.
    attackers flaws hidden Red teams
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