{"id":4177,"date":"2022-07-14T16:12:14","date_gmt":"2022-07-14T14:12:14","guid":{"rendered":"https:\/\/10guards.com\/?p=4177"},"modified":"2022-07-14T16:16:54","modified_gmt":"2022-07-14T14:16:54","slug":"the-top-ai-myths-in-cybersecurity","status":"publish","type":"post","link":"https:\/\/10guards.com\/it\/blog\/2022\/07\/14\/the-top-ai-myths-in-cybersecurity\/","title":{"rendered":"The Top AI Myths in Cybersecurity"},"content":{"rendered":"

Ci spiace, ma questo articolo \u00e8 disponibile soltanto in en<\/a> e ua<\/a>.<\/p>

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It is believed that AI should be a tool to help cybersecurity teams work to catch malicious actors. However, the annual Devo SOC Performance Report™ states there\u2019s still work to be done.<\/p>\n

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Artificial intelligence has been (and continues to be) a popular topic of discussion in areas ranging from science fiction to cybersecurity. The android humans envisioned by Asimov, Bradbury, Philip K. Dick, and other storytellers remain science fiction, artificial intelligence is real and playing an increasingly large role in many aspects of our lives.<\/p>\n

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While it\u2019s interesting to watch the debate over the advantages and disadvantages of human-like robots with AI brains, a much more routine, but equally powerful form of AI is starting to play a role in cybersecurity.<\/p>\n

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The AI\u2019s purpose is to be a reinforcing tool for hardworking security professionals. Security operations center (SOC) analysts are often overloaded by the never-ending number of alerts and notifications hitting the organizations\u2019 security systems daily. Alarm fatigue has become an industry-wide cause of analyst burnout.<\/p>\n

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Ideally, AI could help SOC analysts keep pace with and stay ahead of well-educated and persistent threat actors who are using AI effectively for criminal or espionage purposes. Nevertheless, that doesn\u2019t seem to be happening yet.<\/p>\n

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The Big AI illusion<\/strong><\/p>\n

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Devo SOC Performance Report™ is a survey of 200 IT security professionals aimed to determine how they feel about AI. It covers AI implementations that address a range of defensive disciplines including threat detection, breach risk prediction, and incident response\/management.<\/p>\n

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Myth #1: AI-Powered Cybersecurity is Already Here<\/strong><\/p>\n

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All survey respondents state their organization is using AI in one or more areas. The most common usage area is IT asset inventory management, followed by threat detection (which is good news), and breach risk prediction.<\/p>\n

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But in terms of leveraging AI directly in the battle against threat actors, it\u2019s too early to say at this point. Some 67% of survey respondents say their organization\u2019s use of AI \u201cbarely scratches the surface.\u201d<\/p>\n

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Here is how respondents feel about their organization\u2019s reliance on AI in their cybersecurity program.<\/p>\n

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More than half of respondents believe their organization is \u2014 at least currently \u2014 relying too much on AI. Less than one-third think the reliance on AI is appropriate, while a minority of respondents believe their organization isn\u2019t doing enough with AI.<\/p>\n

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Myth #2: AI Will Solve Security Problems<\/strong><\/p>\n

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When asked for their thoughts about the challenges posed by AI use in their organizations, respondents weren\u2019t shy. Only 11% of respondents said they haven\u2019t experienced any problems using AI for cybersecurity. Most respondents see things quite differently.<\/p>\n

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When asked where in their organization\u2019s security stack AI-related challenges occurred, core cybersecurity functions were mentioned. While IT asset inventory management was the top AI problem area, according to 53% of respondents, three cybersecurity categories were listed below:<\/p>\n

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