Bank’s Machine Learning Systems Are Ripe for Sabotage

“I haven’t seen any real abilities in terms of being able to defend against the flood of disinformation,” Montreal AI Ethics Institute Founder Abhishek Gupta told The Journal. Gupta went on to describe machine learning security as a “novel” field filled with unknowns. “When you introduce machine learning into any kind of software infrastructure, it opens up new attack surfaces, new modalities for how a system’s behavior might be corrupted.”

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While those security weaknesses are cause for concern even in the best of times, government leaders including President Biden worry Russia may use cyberattacks to lash out against these institutions as sanctions take a continued toll. In a statement released earlier this week, Biden advised private companies in the U.S to bolster their security practices, citing “evolving intelligence that the Russian Government is exploring options for potential cyberattacks.” Global banks meanwhile have reportedly increased network monitoring and increased drilling for potential cyberattack scenarios in the weeks since the Russian military began its invasion Reuters notes.

Immediate bitcoin review.