The integration of AI in security testing brings numerous benefits such as automating vulnerability detection, leveraging predictive analysis to anticipate threats, enabling continuous monitoring for real-time response, improving accuracy by reducing false positives, and enhancing efficiency in security assessments. AI-driven tools can rapidly scan codebases to identify weaknesses, predict areas vulnerable to attacks, provide insights for threat modeling, detect anomalies in real-time, and ensure scalable and continuous security testing. However, challenges like obtaining high-quality datasets, integrating AI with existing frameworks, managing false positives and negatives, addressing ethical concerns, bridging skill gaps, and ensuring collaboration between AI and human expertise exist
Despite these challenges, the advantages of AI, including enhancing cybersecurity, improving resilience, and staying ahead of cyber threats, underscore its significance in transforming security testing for the future. https://www.cyberdefensemagazine.com/transforming-security-testing-with-ai-benefits-and-challenges/