FBI’s new IDLE program helps companies trick hackers with ‘fake data’

Cyberattacks that cause massive data loss have become more common, according to slash Gear, amedia outlet. Hackers target everything from stores to large hospitals and social media platforms, putting people at risk of identity theft and financial fraud. The FBI’s IDLE program, which aims to help solve the problem, focuses on using bait data to make it difficult for malicious hackers to handle.

FBI's new IDLE program helps companies trick hackers with 'fake data'

Long T. Chu, acting assistant director of the FBI’s Cyber Engagement and Intelligence Service, said in a recent interview with Ars Technica that the agency is taking a more “holistic” approach to the growing problem of cyberattacks. The FBI is now not only alerting large companies, but also responding to security breaches. It also helps companies take proactive steps to stop these data theft attempts by masking data.

The work is being done under a project called “IDLE”, which represents illegal data loss utilization, which is described as an attempt to confuse by using bait data. Sources interviewed by Ars Technica say THAT IDLE is not a trap or a classic “honeypot” but rather a similar way to mixing a pile of fake pieces of puzzle into a box full of the right pieces.

Hackers will have to work very hard to separate fake data from real data, making the overall idea of undermining these companies less attractive. The idea is not to attract attackers by posting seductive (but fake) information. Instead, it’s to help protect the data that hackers are already looking for.

The FBI is not talking about the complexity of the project for obvious reasons, but it does not classify IDLE. It is understood that the fake data created under the project was designed to match the format in which the company used its legitimate data. Fake data is mixed into batches without negatively affecting the company itself. The FBI did not disclose how this hybrid approach occurred to avoid providing information that might benefit the attacker.

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