Cybercriminals pick efficacy over spectacle and use various attack methods to infringe network security. They leverage cutting-edge technology to initiate quicker, more powerful, and highly sophisticated attacks. With new technologies like machine learning and AI now being embedded into cyber attack methodologies, security professionals believe 2019 could be the year witnessing the wave of attacks with actual AI capabilities.
This yields trouble for already struggling global businesses to deal with large volumes of attacks and multidimensional vectors of attack. With AI now a portion of the mix, cybercriminals can carry out more automation, enhancing their attack speed and surface area. This rising threat, if left unchecked, could lead to significant incidents of a data breach, causing unprecedented damage and disruption of service on a global scale.
Magnifier, a behavioral analytics solution that uses structured and unstructured machine learning to model network behavior and enhance threat detection, was initiated by Palo Alto Networks. Chronicle is a cybersecurity intelligence stage that tosses enormous amounts of cybersecurity data storage, processing capabilities, and modern analytics to accelerate the search and exploration of needles in an aggressive haystack.
Cybersecurity providers are innovating to carry AI-based cybersecurity products to the market in a big way. According to ESG research, 12 percent of companies have already employed AI-based security analytics extensively, and 27 % have engaged in limited AI-based security analytics.
Moreover, some AI-based solutions operate on a stand-alone basis and are closely linked to other security operations and platform architecture (SOAPA) technologies. For example, SIEM and EDR commonly integrate Vectra Networks and E8 security. In addition, Kenna Security works with vulnerability scanners side by side.
Undoubtedly the industry is invaded by AI-based security analytics, but it's value noting that CISOs don't really care or even realize how the sausage is made. ESG research shows that only 30 % of cybersecurity pros feel very familiar with AI/machine learning and its applicability to cybersecurity analytics, which means cybersecurity vendors are barking the wrong tree with AI concepts, algorithms, and data science chops. CISOs want to improve security effectiveness, improve operational efficiency, and deliver highly secure IT initiatives that enable the business. AI will be accepted with open arms if it can support them reach these goals. AI can be cybersecurity's key in the future, and this chance should be available to CISOs.
