Joe Levy, CTO - Sophos
“Machine learning has become an essential part of most modern organizations’ cybersecurity strategy, and cybercriminals are now aware that these tools are being used to thwart their attacks. In response, criminals will set their sights on trying to evade or undermine machine learning security systems.
As the cat-and-mouse game between attackers and defenders continues, we can expect both offensive and defensive machine learning tools of increasing sophistication and effectiveness to develop rapidly. Over the next year, we expect to see more incidents where cybercriminals attempt to trick machine learning detection and classification models, and even leverage machine learning to generate highly convincing fake content for social engineering attacks.
In addition to leveraging prevention and protection to stop attacks before they happen, businesses are advised to take a layered approach to security. By combining human threat hunters with the leading threat intelligence and technologies like deep learning, organizations can detect and contain even the most sophisticated attacks faster, minimizing their impacts and costs.”
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