{"id":4573,"date":"2023-06-16T15:44:38","date_gmt":"2023-06-16T19:44:38","guid":{"rendered":"https:\/\/solutionsreview.com\/security-information-event-management\/?p=4573"},"modified":"2023-08-09T15:21:44","modified_gmt":"2023-08-09T19:21:44","slug":"the-ai-era-why-cybersecurity-needs-to-be-ready","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/security-information-event-management\/the-ai-era-why-cybersecurity-needs-to-be-ready\/","title":{"rendered":"The AI Era: Why Cybersecurity Needs to Be Ready"},"content":{"rendered":"

\"AI<\/p>\n

Solutions Review\u2019s\u00a0Contributed Content Series<\/u><\/a>\u00a0is a collection of contributed articles written by thought leaders in enterprise software categories.\u00a0<\/strong> Dr. Jason Zhang of Anomali<\/a> warns all involved in cybersecurity that the AI era is here, and we all need to be ready to brave the new world.<\/b><\/em><\/p>\n

Artificial Intelligence (AI) is going mainstream, and that will impact cybersecurity in significant ways. But if we\u2019re not prepared for what\u2019s ahead, we\u2019re destined to learn about it the hard way.<\/p>\n

From a defender\u2019s perspective, the advent of AI is a welcome development. It can play an incredibly useful role in identifying malicious behavior from the millions of different events taking place each day across a network. For instance, it’s increasingly common for the bad guys to leverage legitimate software used in the Windows system to execute malware. That makes it hard to differentiate between malicious and legitimate behavior, which both use similar tools to execute. But here\u2019s an instance where leveraging machine learning and AI improves the signal-to-noise ratio in the events to help security teams differentiate between the malicious and the benign.<\/p>\n

That\u2019s all for the good. However, at the same time, AI now serves as a valuable weapon for cyber-criminals and other malicious actors to analyze huge amounts of data. That helps them more precisely target victims and automate their processes to speed up the cadence of attacks, making it harder for targeted victims to keep up with the pace of their cyber barrages.<\/p>\n

Looking for MDR solutions? Check out our free Buyer’s Guide<\/a><\/strong>!<\/p><\/div>\n

The AI Era in Cybersecurity<\/strong><\/h2>\n
\n

In this accelerated race against the clock, cyber-criminals can scale up the processes required to launch an attack faster than ever thanks to automation. That leaves defenders scrambling; by the time they fix one breach, they\u2019re trying to deal with new attacks, making it harder than ever to detect unknown malware or new entry vectors.<\/p>\n

None of this should come as a surprise. We\u2019re talking about a technology that anyone can access. It doesn\u2019t require the special collective expertise of a hacker group working at the behest of a wealthy nation-state. Many so-called lone wolves working on their own now have the requisite knowledge to launch sophisticated attacks with the help of AI.<\/p>\n

Who\u2019s Winning?<\/strong><\/h3>\n

The threat landscape is fluid, always changing over time. If we step back from the fray and view this in a broader context, we can think about the AI era in cybersecurity as yet another installment in the decades-long arms race between defenders and attackers. And while threat actors are getting faster, defenders can also use AI to their advantage to be more proactive, leveraging the technology\u2019s powerful automation capability to analyze massive amounts of data and more rapidly identify attack patterns.<\/p>\n

So, who\u2019s winning? Despite the accelerated cadence of attack introduced by AI, the fundamental framework for dealing with threats hasn\u2019t changed much through the years. Attackers still need to go through different stages of a probe to harvest a credential and realize their financial objectives. I think that ultimately, this battle will turn on old-school principles governing cyber defense and whether defenders do the right things when it comes to people, processes, and technology (PPT), a framework that has been around since the early 1960s that\u2019s as relevant as ever.<\/p>\n

Final Thoughts and Best Practices in the AI Era<\/strong><\/h3>\n

As we navigate our way into the AI era, keep the following signposts in mind:<\/p>\n

    \n
  • Clearly, it\u2019s important to remain current with the latest in defensive technology, but that can\u2019t come at the expense of paying attention to the role humans play in security. In my experience, it\u2019s the most critical layer of all. If you fail to adequately train your staff about security awareness, you can buy as many new security products as you like, but still won\u2019t be protected.<\/li>\n
  • The reality is that your people will click open malicious attachments or links that allow attackers entry into your networks. The advent of AI and the introduction of new threats only makes this more likely, further underscoring the importance of inculcating best practices.<\/li>\n
  • If your organization opts to use generative AI like ChatGPT to help with repeatable work, employees must learn to use it properly. When they share data in ChatGPT, the information could wind up as training data for machine learning\/large language models outside your organization. This isn\u2019t a theoretical problem \u2013 look at what happened recently at Samsung Electronics, when engineers accidentally leaked company information via ChatGPT \u2013 and on different occasions! Again, this goes back to the importance of having strong policies and processes that keep up with the times and protect company and customer data.<\/li>\n
  • In our post-pandemic world, many more people now work regularly from home, a societal shift that has introduced a myriad of new challenges when it comes to cyber protection given the number and types of devices accessing network data from remote locations. All the more reason why organizations shouldn\u2019t delay adapting their processes to deal with new security challenges introduced by this change.<\/li>\n
  • Attackers can leverage AI and automation, but they can\u2019t automate the entire process or all of the different stages of the infection chain. At best, they can possibly automate one or two stages. That puts the onus on defenders to build up a well-designed, multi-stage protection system. Even if some attacks bypass the first couple of stages of defense, the system will still detect the threat at a later stage to prevent any actual damage from occurring.<\/li>\n<\/ul>\n

    These basic security tenets will become increasingly important as AI ups the ante in the battle over cybersecurity. There\u2019s nothing unstoppable about malicious actors using these latest techniques. But changes \u2013 big changes \u2013 are coming, and defenders need to be prepared for what\u2019s on the horizon.<\/p>\n
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    Solutions Review\u2019s\u00a0Contributed Content Series\u00a0is a collection of contributed articles written by thought leaders in enterprise software categories.\u00a0 Dr. Jason Zhang of Anomali warns all involved in cybersecurity that the AI era is here, and we all need to be ready to brave the new world. Artificial Intelligence (AI) is going mainstream, and that will impact […]<\/p>\n","protected":false},"author":720,"featured_media":4574,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[551,1],"tags":[],"acf":[],"yoast_head":"\nThe AI Era: Why Cybersecurity Needs to Be Ready<\/title>\n<meta name=\"description\" content=\"Dr. Jason Zhang of Anomali warns all involved in cybersecurity that the AI era is here, and we all need to be ready to brave the new world.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/solutionsreview.com\/security-information-event-management\/the-ai-era-why-cybersecurity-needs-to-be-ready\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" 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