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WhiteHat Security Research Reveals Nearly 60% of Industry Professionals Trust Cybersecurity Findings Verified by Humans over AI

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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.


Cybersecurity teams preferring human results shows mistrust in AI

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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.


The human element in security is still needed to combat application vulnerabilities - Help Net Security

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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.


Security Pros Trust Cyberthreat Detections Verified by Humans over AI

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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.


Cybersecurity pros are using artificial intelligence but still prefer the human touch

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Security professionals need a varied bag of tricks to keep up with savvy and sophisticated cybercriminals. Artificial intelligence is one valuable weapon in the arsenal as it can handle certain tasks faster and more efficiently than can human beings. That's why many security pros still want the human element to play a significant role in their security defense, according to a survey from WhiteHat Security. Based on a survey of 102 industry professionals conducted at the RSA Conference 2020, WhiteHat's "AI and Human Element Security Sentiment Study" found that more than half of the respondents are using AI or machine learning (ML) in their security efforts. More than 20% said that AI-based tools have made their cybersecurity teams more efficient by eliminating a huge number of more mundane tasks.