Artificial intelligence (AI) makes for a splashy headline, but how often does it get implemented effectively? The results of one study note that only one in 10 companies report significant ROI from using AI in their processes. The report goes on to expand on why that might be: Apparently, companies are taking on and applying AI tools for the novelty and excitement of it without taking time to apply them strategically.
This is an easy mistake to make, given the monumental claims made around AI. To let the headlines tell it, AI is the one-size-fits-all solution for businesses of every size, stripe and strategy. But AI, as impressive and fascinating as it is, must be applied intentionally—like any other tool. Personally, I’m inclined to see the value in it for network security. With the help of AI tools, businesses can do more than ever to protect their data and their team.
Security, after all, needs to be proactive. It’s not just about putting up a good “fence”—it’s about appropriately analyzing traffic and observing patterns to identify issues in advance. AI can help organizations do that. AI can, better than any human, gather information and observe patterns—and use those observations to make predictions. It can help organizations understand where their weak spots are. It can even predict the type of data breach that might befall any given company.
It’s really all about prevention. If you can gather enough information and elevate analysis to a much more abstract level, you can potentially prevent serious problems.
Consider phishing. A company facing extensive phishing attacks often doesn’t quite know how to deal with it. You can only educate your team so much on how to avoid phishing scams, but truly skilled scam artists can continue to make their way through. AI could look at the patterns of your phishing attacks and make some estimations as to where they’re coming from and who to block. Or, if you’re experiencing DDoS attacks, AI can take a high-level look at the behavior of those attackers and analyze it.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/11/08/why-you-should-consider-using-ai-in-your-network-security-strategy/?sh=298d3226734c
This is an easy mistake to make, given the monumental claims made around AI. To let the headlines tell it, AI is the one-size-fits-all solution for businesses of every size, stripe and strategy. But AI, as impressive and fascinating as it is, must be applied intentionally—like any other tool. Personally, I’m inclined to see the value in it for network security. With the help of AI tools, businesses can do more than ever to protect their data and their team.
Security, after all, needs to be proactive. It’s not just about putting up a good “fence”—it’s about appropriately analyzing traffic and observing patterns to identify issues in advance. AI can help organizations do that. AI can, better than any human, gather information and observe patterns—and use those observations to make predictions. It can help organizations understand where their weak spots are. It can even predict the type of data breach that might befall any given company.
It’s really all about prevention. If you can gather enough information and elevate analysis to a much more abstract level, you can potentially prevent serious problems.
Consider phishing. A company facing extensive phishing attacks often doesn’t quite know how to deal with it. You can only educate your team so much on how to avoid phishing scams, but truly skilled scam artists can continue to make their way through. AI could look at the patterns of your phishing attacks and make some estimations as to where they’re coming from and who to block. Or, if you’re experiencing DDoS attacks, AI can take a high-level look at the behavior of those attackers and analyze it.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/11/08/why-you-should-consider-using-ai-in-your-network-security-strategy/?sh=298d3226734c
