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Why You Need AI for Security

Enterprises will increasingly use machine learning and AI for security and internet traffic management, according to Kyle York, vice president of product strategy for Oracle Cloud Infrastructure. 

“A lot is happening now with ML and AI, especially as they relate to internet traffic flows, how networks are architected, and how end users interface with applications,” said York, who discussed new technologies during a recent episode of the Future Tech Podcast. “I think you’re going to see ML and AI being used a lot more to address infrastructure capacity, infrastructure scaling, performance, and security vulnerabilities—and that’s definitely a massive area for us at Oracle.” 

Artificial intelligence (AI) is no longer just a buzzword. Cybersecurity solutions providers are already incorporating AI and machine learning (ML) to enhance their offerings and provide a more complete security package. There are a number of ways to use ML and AI for security and traffic management. For example, a learning model can be created and applied to automate policy tuning or assist with complex research.  

“What’s good traffic and what’s bad traffic into my website? You don’t want to wait until it’s too late to learn the answer to that,” York said. “You want to be able to put algorithms in place and ensure that you’re preparing your security posture for future attacks or patterns of attack. That’s not going to be human interaction. That’s code and AI that is leading the charge there.”  

Although most cyberattacks are still launched using basic automation and scripting, sophisticated hackers are starting to execute attacks that leverage AI as well. The only way to stay ahead of those threats is to also use AI for security.  

“The majority of the attacks that happen on the internet are entirely based on APIs, scripts, and botnets being launched into the wild,” York explained. “It’s not like one dude is launching a DDoS attack from one location in his parent’s basement. He’s infiltrating home routers and launching an attack from tens of thousands of devices. The only way to do that is through automation and APIs.”  

AI-driven automation will never fully replace the human element but is quickly becoming a necessary tool in the battle against complex, multi-vector threats. The future of cybersecurity will see the partnership of human and machine working together to fight against and protect from ever-advancing attacks.   

Blockchain not ready for prime time

York added that another technology everyone is talking about, blockchain, still has a way to go before it gets enlisted in the effort to secure cloud infrastructure and ward off malicious hackers.   

“If you think about distributed systems and systems of ledger, I think it’s definitely into the future,” York said. “But it’s definitely an area where Oracle is looking to innovate.” 


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Mark Brunelli
Whois: Mark Brunelli

Mark Brunelli is a Content Specialist at Oracle Dyn. He writes about DNS, cloud infrastructure, networking, and edge security. He previously covered data management and IT security for TechTarget and several other online publications.