Page 89 - Cyber Defense eMagazine August 2024
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Transforming Security Testing With AI: Benefits and Challenges


            Empowering Better Vulnerability Detection with Artificial Intelligence and Security Testing

            By Haresh Kumbhani, CEO, Zymr Inc.



            Security testing plays a critical role in ensuring that applications are protected against vulnerabilities and
            attacks. In times when cyber  attacks like data breaches and ransomware  are rising,  security testing is
            one of the most important parts of the software development lifecycle. However, to keep up with modern,
            complex software demands, security testing needs to ditch manual processes and static tools, which can
            be  time-consuming  and  prone  to  human  error.  Integration  with  artificial  intelligence  (AI)  can  evolve
            security testing for automation, predictive analysis, and improved accuracy.



            The Benefits of AI in Security Testing

               1.  Automated Vulnerability Detection

            AI  automates  the  detection  of  security  vulnerabilities  by  leveraging  machine  learning  algorithms  and
            pattern  recognition  techniques.  Automated  vulnerability  detection  tools  can  quickly  scan  codebases,
            applications,  and  networks  to  identify  potential  weaknesses.  For  example,  AI-powered  static  code





            Cyber Defense eMagazine – August 2024 Edition                                                                                                                                                                                                          89
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