Allocating capital to autonomous security platforms outperforms traditional consultant-driven validation models.

Robust security is critical in open networks where software controls user funds. Security strategies must evolve as AI’s role ...

The next stage of risk management will be shaped by the capacity of organizations to strike the right balance between ...

HACKBOX.AI is built on a multi-agent collaborative architecture, designed to simulate attackers’ tactics and pathways. The system automates the entire testing lifecycle—from information gathering to ...

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

Offensive security has spent years caught between two extremes: deeply manual penetration tests that do not scale, and automated scanners that scale easily but surface volumes of low-confidence ...

The RidgeBot® listing empowers organizations and partners to automate risk validation, reduce exposure, and streamline compliance directly within their Azure environments. Ridge Security, a leading ...

Fintech operates under constant regulatory pressure. At the same time, competitive pressure demands speed, innovation, and intelligent automation. Risk and compliance systems sit at the...Read More ...

Overview: AutoOps extends DevOps by embedding AI across coding, testing, deployment, monitoring, and optimization to create ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Artificial intelligence (AI) is reshaping the cybersecurity ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...