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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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