Cybersecurity in 2026 looks very different from what it did only a few years ago. Attack surfaces are larger. Cloud environments are more complex. Applications update constantly. APIs, container ...

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, ...

Researchers warn that a newly identified open-source AI security testing platform called CyberStrikeAI was used by the same threat actor behind a recent campaign that breached hundreds of Fortinet ...

CyberStrikeAI lowers the barrier to complex cyberattacks by combining AI orchestration, MCP integration, and more than 100 ...

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

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 ...

In 2026, competitive advantage will come from integrating AI into a disciplined quality framework that ensures reliability, traceability and trust, says Leon Lodewyks, CTO of Inspired Testing.

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 ...

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 ...