Where CISOs rely on AI and machine learning to strengthen cybersecurity

Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. Faced with an onslaught of malware-less attacks that are increasingly hard to identify and stop, CISOs are contending with a threatscape where bad actors innovate faster than security and IT teams can keep up. However, artificial intelligence (AI) and machine learning (ML) are proving effective in strengthening cybersecurity by scaling data analysis volume while increasing response speeds and securing digital transformation projects under construction. "AI is incredibly, incredibly effective in processing large amounts of data and classifying this data to determine what is good and what's bad. At Microsoft, we process 24 trillion signals every single day, and that's across identities and endpoints and devices and collaboration tools, and much more. And without AI, we simply could not tackle this," Vasu Jakkal, corporate vice president for Microsoft security, compliance, identity, and privacy, told her keynotes' audience at the RSA Conference earlier this year.