The AI already deceives the scammers: thus hackers are being hunting before they attack

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By Jack Ferson

The increase in telephone fraud has led some telecommunications companies to develop bots driven by artificial intelligence to fight the scammers.

This has happened with Daisy – also written as Daisy -, a bot of the created by O2 that has passed through an older person who knows little technology, technology, With the aim of wasting the scammers, with calls of up to 40 minutes.

During this time, the attackers will not bother more people and, although Daisy was created as an O2 awareness campaign, it is more than likely that more companies take advantage of AI to mitigate these scam attempts.

The strategy is very simple and takes advantage of the alleged lack of knowledge in grandmothers technology, so Daisy deceives scammers telling completely convoluted family stories, and taking advantage of this against those who want to take advantage of this population group.

In addition, Daisy’s responses are practically identical to which a real human being could offer, since it has trained through a really extensive database with calls verified by O2 itself.

In this way, Daisy discovered several issues about this type of scammers, such as They operate in call centers that use well -designed scripts To get an elderly person to fall into the trap and offer sensitive personal data, such as his bank account.

These types of deceptions are also dedicated to supplanting the identity of trusted companies, such as banking entities, logistics companies or known retail companies, with the aim of attracting consumer confidence.

By using Daisy as a weapon against scammers, O2 also discovered that, after several anecdotes of this grandmother created with AI, criminal groups begin to get angry, something that does not usually happen with trusted operators, since it would affect their own reputation.

However, Daisy seems to be rather an exception globally, since In Spanish no bot of the type has been developed; Throughout the world, there is only another very similar project, from the Macquarie University, in Sidney (Australia).

Baptized as Get itthis bot has also substantially reduce the number of scams associated with criminal organizations that supplant the identity of trust companies in the telecommunications sector, cryptocurrencies, banks and public administrations.

The best thing about Apate, which you can access from this link, is that you learn in real time with new calls and modalities of scam attempts, occupying the time of these groups, just like Daisy.

With a database of up to 300,000 scam attempts every month, Apate operation is something different, since it is not a grandmother, but different bots adapted to each sector responsible for responding up to 159,000 calls of this type in the same period.

This work, in collaboration with the Teleoperadora Tier-1, has managed to prevent the theft of almost 2 million dollars per month in scam attemptswith 53% of the calls intercepted directly by the Apate bots.

Although the average duration of the calls with the scammers has been 2 and a half minutes, the longest conversation reaches 54 minutes, a really valuable time to entertain the scammers and that, thus, the telephone frauds are reduced.

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Tags: Artificial Intelligence, Telecommunications, Scam

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