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Politecnico di Milano's Zanero on Evolving Malware Detection and Hardware SecurityMachine learning excels at identifying repetitive patterns and anomalies, but human insight remains vital for understanding the broader context of cyberattacks - especially in cyber-physical ecosystems, said Stefano Zanero, professor at Politecnico di Milano.
Data-Poisoning Attacks Are Critical Threat to Machine Learning Security, NIST WarnsMachine learning systems continue are vulnerable to cyberattacks that could allow hackers to evade security and prompt data leaks, scientists at the National Institute of Standards and Technology warned. There is "no foolproof defense" against some of these attacks, researchers said.
The combination of data science expertise, cloud resources, and Cato's vast data lake enables real-time, ML-powered protection against evasive cyberattacks, reducing risk and improving security.