The fuse and the control point build a blockchain firewall designed not only to follow but also to avoid dangerous transactions.
Artificial intelligence applications have significant potential in crypto, especially in security. On Tuesday, April 15, the layer 2 blockchain fuse joined the cybersecurity company Check Point to create a threat prevention layer fueled by AI.
This safety layer for the fuse network would use artificial intelligence to scan transactions before its end. The AI would then use its training data to determine whether a transaction is likely to be fraudulent.
“Prevention is always better than healing,” said Fuse Mark Smargon CEO. He hopes it said he hopes that the new safety layer would become a standard to protect the two networks.
“With Check Point offering a dedicated safety layer, we are convinced that we can not only dissuade the pirates, who become more and more sophisticated, but that the pioneer is a model of cybersecurity which will become the gold stallion to protect web3 protocols”, Mark Smargon, fuse of Fuse
Security is always a major risk in the web3
Although web3 tech has developed considerably, concerns about its security harm its consumer attraction. As all the channel transactions are final, the signing of the bad intelligent contract or the sending of funds to the poor address may have serious financial consequences.
To attract consumer users, crypto protocols need anti-hacking and robust fraud measures, Dan Danay, Head of Web Security 3.0 at the checkpoint, said.
“Like robust cybersecurity has fueled the rise of web 2.0, real -time prevention will be the key to the general public adoption of web3”, Dan Danay, Check Point.
For example, crypto haunch losses amounted to $ 98.19 million in January, despite a drop in asset prices. While the figure fell by 39%, against $ 160 million in January 2024, the risk of hacking continues to be a major concern. At the same time, phishing attacks in the same month amounted to $ 10.25 million.
