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    Home»Gaming»An AI holds the top slot in a leaderboard that ranks those who hunt for the system weaknesses used by hackers
    Gaming

    An AI holds the top slot in a leaderboard that ranks those who hunt for the system weaknesses used by hackers

    PineapplesUpdateBy PineapplesUpdateJune 25, 2025No Comments3 Mins Read
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    An AI holds the top slot in a leaderboard that ranks those who hunt for the system weaknesses used by hackers
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    In the world of cybercrime and hacking, the rise of AI has been a blessing, as it has given even more ways to steal accounts, important information, or fish for money. However, not all are lost, however, it turns out that there is an AI that is very good in finding the weakens in safety issues and codes that it is currently leading US Hacaron Leaderboard,

    The company developing the AI ​​model is called XBOW (not, not Xbox) and the same name is used for the system. Xbo is also relatively new, as one Bloomberg report It states that the start-up has been almost for only one year. So far, it has been raised $ 75 million in funding, but I suspect how successful it has been in finding security problems, that there will be more investors interested in joining it.

    What XBOW is doing, it is not new at all, because moral hackers are using all types of automatic equipment to test and check the codes, websites and years like years. AI recently, especially especially interested, is because if one thing is that artificial intelligence models are good, then it is trawling through a large amount of data to find a normal pattern.

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    XBOW AI carries something called automatic penetration test, which simulates any systematic abuse of any type of security in cyber attacks or code. In the past, this has been done to some extent manually, causing a lot of time to take and therefore expensive. In the latter case, it is sometimes so expensive that some companies will fire the code without ensuring that it is a memory-safe.

    Given that Xbo currently topped the US Hacaron Leaderboard, it is clearly doing a good job. He said, it is not correct and a part of it is down to AI hallmarks, which the model gives a completely incorrect answer because it has come beyond the data that it has never been trained or not very minimized. The XBOW, which is the company, manually gets around the issue by vetinging each reported issue.

    It is also the fact that AI has no perception of reference. For example, as XBow co-founder Oege De Mauor told Bloomberg, “It is clearly told to explain that a medical website that the prescription should be kept private.”

    How to just give Important This is to be a memory-safe for the code These days, where programs do not produce unexpected errors in memory, which makes them unsafe to attack, I say we are going to see too much start-ups and projects such as XBow in the next few years. And if they are all machine-operated but human-satisfied, then for the ultimate speed and accuracy, then it is definitely a great thing that we will be able to say that AI has done to all of us.

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