This ebook explains why traditional security testing approaches fail to provide full coverage in modern applications, especially in the AI era. It highlights issues like limited visibility, noisy results, siloed workflows, and fragmented tools that lead to duplicated findings and missed vulnerabilities. The guide emphasizes that relying solely on either SAST or DAST creates blind spots, as one focuses on code while the other focuses on runtime behavior. It advocates for a unified approach that combines both methods into a single platform, enabling continuous visibility across the software lifecycle. The ebook also stresses shifting security earlier into development, integrating testing into CI/CD workflows, and leveraging AI-driven tools to reduce noise and improve prioritization.

Join for free to read