AI in Application Security: Powerful Tool or Potential Risk?

Artificial intelligence (AI) is transforming almost every industry on the planet, including software development and application security testing. The ability of AI to apply advanced pattern recognition to large data sets has led to remarkable improvements in speed, accuracy, automation and scalability. At the same time, AI is also presenting new challenges for early adopters that need to be addressed carefully.

“AI: Friend or Foe”, a new whitepaper from HCLSoftware, takes a closer look at AI and, in particular, its use in application security testing. It explores how AI-driven tools accelerate vulnerability detection, improve threat detection accuracy, and help organizations stay ahead of emerging risks. However, the whitepaper also delves into the potential risks of relying too heavily on AI, such as generating false positives, the lack of transparency in AI algorithms, and vulnerabilities in AI systems themselves.

As AI continues to influence the cybersecurity landscape, understanding its potential as both a valuable asset and a risk is crucial. This whitepaper provides insights on balancing AI’s benefits with its inherent challenges and how organizations can use AI responsibly in their security testing efforts.

To get the full analysis, explore the whitepaper and discover how AI can act as both a powerful tool and a potential risk in application security testing.

Stay ahead of the curve—learn how AI could shape the future of your application security.