Cybercriminals pick efficacy over spectacle and use a variety of methods of attack to infringe network security. To initiate quicker, more powerful, and highly sophisticated attacks, they leverage the most cutting-edge tech. With modern technologies like machine learning and artificial intelligence now being embedded into cyber attack methodologies, security professionals believe 2019 could be the year witnessing the wave of attacks with real AI capabilities. This causes trouble for already struggling global businesses to deal with large volumes of attack and multidimensional vectors of attack. With AI now part of the mix, cybercriminals can implement more automation, improving their attack speed and surface area. This emerging threat, if left unchecked, could lead to significant incidents of data breach, causing unprecedented damage and disruption of service on a global scale.

Magnifier, a behavioral analysis solution that uses structured and unstructured machine learning to model network behavior and enhance threat detection, was introduced by Palo Alto Networks. Chronicle is a cybersecurity intelligence platform that tosses massive amounts of cybersecurity data storage, processing capabilities, and advanced analytics to speed up the search and exploration of needles in a fast-growing haystack. To bring AI-based cybersecurity products to the market in a big way, cybersecurity providers are innovating. As per ESG research, 12 percent of companies have already employed extensively AI-based security analytics, and 27 percent have employed limited AI-based security analytics.

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Additionally, some AI-based solutions work on a stand-alone basis but are also closely linked to various other security operations and platform architecture (SOAPA) technologies. SIEM and EDR often integrate Vectra Networks and E8 security. Kenna Security works with vulnerability scanners hand in hand.

There's no doubt that the industry is invaded by AI-based security analytics, but it's worth noting that CISOs don't really care or even realize how the sausage is made. ESG research shows that only 30 percent of cybersecurity pros feel they are very familiar with AI/machine learning and its applicability to cybersecurity analytics, which means vendors of cybersecurity who are barking the wrong tree with AI concepts, algorithms, and data science chops. CISOs want to improve the effectiveness of security, improve operational efficiency, and deliver highly secure IT initiatives that enable the business. If it can help them reach these goals, AI will be welcomed with open arms. AI can be a cybersecurity game-changer in the future, and this probability should be open to CISOs.

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