MMonitoring logs and analyzing data is mind-numbing and time-consuming work; it’s a fast path to burnout. AI has taken over this work, offering organizations a fast and efficient way to monitor their systems for potential threats. According to a Security Intelligence article,1 AI has improved cybersecurity operations in the following ways: • Earlier recognition of threats via pattern identification and anomaly detection • More informed ability to analyze data and identify potential attack vectors • Improved threat intelligence due to the ability to mine data sources • Elimination of repetitive tasks via automation and orchestration AI Still Lacks Full Capabilities Companies benefitting from incorporating AI in their cybersecurity programs still require human intervention for the same reasons Tesla’s “Full Self-Driving” capability still requires a fully attentive driver: the deep learning capabilities of AI, where an algorithm completely mimics the structure and function of the brain, are just not there yet. AI Still Needs Humans: How To Harness the Power of Both WITH THE RAPID GROWTH OF CYBERATTACKS, PEOPLE AND TECH MUST WORK TOGETHER TO PROTECT MODERN NETWORKS By Loraine Laguerta, Technical Writer, SEI Sphere Colorado Banker 8
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