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    Editor's Pick (1 - 4 of 8)
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    Cyber Security - Integrated enterprise approach required to address the multifaceted challenges

    Sumit Puri, CIO, Max Healthcare

    Leadership Framework for Building Elite Teams

    Douglas Duncan, CIO, Columbia Insurance Group

    Four Cybersecurity Weak Spots You Should Care About When Others Don't

    Marc Probst, CIO & VP, Intermountain Healthcare

    Secure Text Messaging in an Academic Medical Center - Experience and Lessons

    Kari Cassel, SVP & CIO, UF Health

    It's Time to Turn Security Inside Out

    Gilad Raz, CIO, Varonis

    Top 3 Challenges Growing Businesses Face and How the Cloud Can Help

    Ken Shulman, CIO & CTO, Broadview Networks

    Cloud Security Grows Up

    Kevin Winter, VP & CIO, Booz Allen Hamilton

    Neil Jarvis, CIO, Fujitsu America, Inc

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    Doing More with Less using AI

    By Apac CIO Outlook | Tuesday, September 24, 2019
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    In the recent years, security professionals have been struggling to keep a watch on corporate networks for data breaches and cyberattacks. In the recent advent of cyber crimes, myriad of private information from organizations and individuals is being leaked into the dark web, with no defined future of what the information would be used for.    

    The compromise of a corporate network could be the gateway to information theft and ransomware attacks to stall the operations of a business and hold it to a ransom. Recent innovations in the field of cybersecurity can prove pivotal in the substantial reduce in the financial cost and liability on cyber professionals, all while working with a small workforce.

    With machine learning and artificial intelligence (AI) going hand in hand, predictive analytics can be expected to be a game changer. Predictive analytics enables strong control in the backdrop of constant attacks that often lead to prevention of data breaches or system compromise. AI and machine learning would imply deep learning, Big Data algorithms would work together to perform diversified tasks such as finding anomalies in systems, abnormal traffic, insider behavior anomalies, and other key indicators of breach.   

    It is believed that the combination of predictive analysis, AI, and automation can help cybersecurity personnel make use of technological advantages and achieve positive outcomes from minimal efforts. While cybersecurity posture can be strengthened through the trifecta of predictive analytics, AI, and automation, it can also be used to reduce the number of false alarms, thus streamlining cumbersome manual tasks.

    Check out: Top Fraud And Breach Protection Companies

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