Cybersecurity professionals are facing an unprecedented threat environment, with record-high numbers of attacks, shortage of qualified staff, and increasing aggression and sophistication from nation-state actors. For many data center cybersecurity managers, the silver bullet for all these problems is artificial intelligence. It promises to allow security teams to handle more threats than ever before, of greater complexity than ever before, with fewer and fewer people. In fact, according to a global survey released this past September by Pillsbury, a global law firm focusing on technology, 49% of executives think artificial intelligence is the best tool to counter nation-state cyber attacks. Pillsbury predicts that cybersecurity-related AI spending will increase at a compound annual growth rate of 24% through 2027 to reach a market value of $46 billion.

What is Cryptojacking and Why Is It a Cybersecurity Risk? Artificial intelligence is already redefining cybersecurity, exposing sophisticated attacks and adding a level of Terminator-style relentlessness to threat detection tools and anti-malware software. AI is even being used by a startup to scou...

Artificial intelligence is already redefining cybersecurity, exposing sophisticated attacks and adding a level of Terminator-style relentlessness to threat detection tools and anti-malware software. AI is even being used by a startup to scour the dark web for evidence that its customers have been hacked and their sensitive data is being peddled on illicit marketplaces. But what does the future hold for AI in cybersecurity? Here's what they had to say. "The future will see self-healing and self-defending networks, which can leverage AI to take steps to fight and defend the network," said Tom McAndrew, COO of Coalfire, a provider of cyber risk management and compliance services.