Artificial intelligence has long caused fear of job loss across many sectors as companies look for ways to cut costs, support workers and become more profitable. But new research suggests that even in STEM-based sectors like cybersecurity, AI simply can't replace some traits found only in humans, such as creativity, intuition and experience. There's no doubt, AI certainly has its place. And most business leaders agree that AI is important to the future success of their company. A recent survey found CEOs believe the benefits of AI include creating better efficiencies (62 percent), helping businesses remain competitive (62 percent), and allowing organizations to gain a better understanding of their customers, according to Ernst and Young.

The research revealed that while over half of organisations use artificial intelligence (AI) or machine learning in their security stack, nearly 60 percent are still more confident in cyberthreat findings verified by humans over AI. The survey responses, along with the theme of "Human Element" at RSA Conference 2020, reflect the need for security organisations to incorporate both AI- and human-centric offerings, especially in the application security space. Three-quarters of respondents use an application security tool, and more than 40 percent of those application security solutions use both AI-based and human-based verification. AI and machine learning have provided several advantages for cybersecurity professionals overall the past several years, especially in the face of the technology talent gap, which has left 45 percent of respondents' companies lacking a sufficiently staffed cybersecurity team. More than 70 percent of respondents agree that AI-based tools made their cybersecurity teams more efficient by eliminating over 55 percent of mundane tasks.

While over half of organizations use artificial intelligence or machine learning in their security stack, nearly 60 percent are still more confident in cyberthreat findings verified by humans over AI, according to WhiteHat Security. The survey responses of 102 industry professionals at RSA Conference 2020 reflect the need for security organizations to incorporate both AI- and human-centric offerings, especially in the application security space. Three-quarters of respondents use an application security tool, and more than 40 percent of those application security solutions use both AI-based and human-based verification. AI and machine learning have provided several advantages for cybersecurity professionals overall the past several years, especially in the face of the technology talent gap, which has left 45 percent of respondents' companies lacking a sufficiently staffed cybersecurity team. More than 70 percent of respondents agree that AI-based tools made their cybersecurity teams more efficient by eliminating over 55 percent of mundane tasks.

WhiteHat Security, an application security provider for enterprises' businesses and an independent subsidiary of NTT Ltd., stated that over half of organizations globally use artificial intelligence (AI) or machine learning in their security operations, however, 60% of them are more confident in cyberthreat detections verified by humans over AI. In its research, "AI and Human Element Security Sentiment Study", WhiteHat Security highlighted the need for security organizations to incorporate both AI- and human-centric offerings, especially in the application security space. According to research findings, based on the responses of 102 professionals in the cybersecurity industry, 45% of respondents opined that their companies lack a sufficiently staffed cybersecurity team. Over 70% of respondents agreed that AI-based tools made their security teams more efficient by eliminating over 55% of everyday security operations. Incorporating AI tools into security operations decreased employees' stress levels, according to 40% of respondents.

Mistrust in artificial intelligence (AI) continues to manifest itself as the emerging technology spreads to industries spanning the tech world, with cybersecurity being no exception. A report released today by WhiteHat Security has revealed while over half of surveyed organisations use artificial intelligence (AI) or machine learning in their security stack, nearly 60% are still more confident in cyberthreat findings verified by humans over AI. The research is based on a survey of 102 industry professionals at RSA Conference 2020. The survey also suggested 75% of respondents us application security tools as part of their security infrastructure, and 40% of these applications use a hybrid AI and human-based verification system. WhiteHat says the combined factors of advancing and growing security threats and the technology talent gap has meant the need for AI and machine learning tools in security protocols is essential.

We have been talking about the cybersecurity skills gap for a decade, but the pain is truly being felt now as businesses churn out new apps with insufficient security, says WhiteHat Security's Craig Hinkley. What is machine learning's role? See Also: Live Webinar Benchmarking Your Organization's Security Performance with Security Ratings Hinkley joined WhiteHat Security as CEO in early 2015, bringing more than 20 years of executive leadership in the technology sector to this role.