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.

It's become increasingly comment nowadays for cybersecurity companies to market their products and solutions as AI-based. After all, if cybercriminals are getting smarter, then businesses will need smarter defenses to counter them. And which of us who are working down in the trenches of our IT profession can say they can keep up with the flood of new malware, vulnerabilities, and threats? The cyber landscape seems to be growing more dangerous each week, and there's no way you or I can learn all we need to know about these dangers and how to repel, mitigate or sidestep them. Enter artificial intelligence (AI) into the room.