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AI and Security: CyberSecurity Tools to Increasingly Incorporate AI, but Can’t Plug All the Holes
The size of the cybersecurity market is growing quickly, and to improve its effectiveness, security tools are increasingly building in artificial intelligence capabilities. Five years from now, in 2027, Meticulous Research estimates that globally, the AI-based cybersecurity market will grow to $46.3 billion.
What’s driving the growth? Primarily it’s the deluge of cyberthreats and complexity of IT systems. Cyberthreats used to be something that businesses knew of but ignored and simply assumed couldn’t happen to them. That’s changed. Almost every company with any presence on the Internet now is being scanned and probed on a daily basis by hackers, and the cost of data breaches has skyrocketed into the millions of dollars in the event of a single incident.
Dan Fein, director at Darktrace, said that “as attacks get more sophisticated, employee education and awareness are not enough. The answer lies in technology.”
Poppy Gustafsson, co-CEO of Darktrace, said that “think about what AI is really good at — the ability to adapt and respond to a constantly changing world. What AI enables us to do is to respond in an intelligent way, understanding the relevance and consequences of a breach or a change of behavior, and in real time develop a proportionate response.”
Zulfikar Ramzan, CTO at RSA, said that “cyber-security is about making intelligent decisions based on what is good and what is bad, based on the data that you have in front of you. That’s a problem that is suited to machine learning techniques. You can actually identify things that would be otherwise unknown. There are some great applications of AI and machine learning in the area of cyber-security. But…, AI and machine learning, while powerful and useful, are not a panacea and they are not going to catch every kind of threat out there.”
