Artificial intelligence and machine learning are starting become buzzwords in just about every industry. Cybersecurity is no exception. In fact, even governments across the globe are jumping on the bandwagon in an effort to enhance the security of their sensitive data. Yet, despite the growing adoption, many of security agents are struggling with misconceptions and confusions surrounding the different types of solutions available on the market today. If you are among them, here’s what you need to know about how AI is disrupting the information and network security realm.
The first point to consider is the difference between traditional automation and intelligent automation powered by machine learning. While both function toward the same end-goal of streamlining and automating manual cybersecurity tasks, such as incident detection and remediation, intelligent automation takes things a step further by augmenting human intelligence, which is both costly and unscalable. Most importantly, this is done without sacrificing reliability and quality of the processes being automated.
The real difference comes into play in the area of decision making – something all cybersecurity leaders are responsible for. With traditional automation, lots of data is gathered and can be turned into reports which can then be used to help human agents forecast and plan for the future. With machine learning, that data is analyzed by artificial intelligence at a rate far faster than any human could possibly compute. The result is more accurate, precise and valuable information for making better business decisions. When you can leverage data more effectively, you can better protect your organization moving forward.
Expanding on this, automation powered by AI is capable of quickly detecting and identifying entirely new classes of threats. Over time, these agentless systems continuously learn, adapt and improve, becoming even more effective at detecting incidents, analyzing attacker behaviors and even managing more obscure threat events. At the same time, deep learning algorithms sift through mountains of data in real-time to uncover and provide valuable insights into threats and enable rapid, highly effective improvements to cybersecurity remediation processes.
The long-term goal of AI powered automation is to achieve even greater flexibility and enhanced thinking capacity that is as close to the human mind as possible. The result will be a genius system that is faster, more consistent and far more effective at maximizing cybersecurity than human agents ever could be. Such a platform, just like the human cognition its designed to mimic, will be capable of adapting and learning new tasks and processes, arriving at its own conclusions and making its own intelligent decisions.
What could your organization achieve with this level of cybersecurity protection? Believe it or not, this is not a far off goal or figment of the future. Automation powered by machine learning is here now, and you can see it in action today by clicking here.
Bring your company’s protection to the next level with the next generation of IT automation.