Mobile apps hide most risk behind login screens. AI-driven testing now pierces that blind spot, exposing real threats before attackers do.

The DevSecOps system unifies CI/CD and built-in security scans in one platform so that teams can ship faster with fewer vulnerabilities.

He's not alone. AI coding assistants have compressed development timelines from months to days. But while development velocity has exploded, security testing is often stuck in an older paradigm. This ...

Background In early 2026, OpenClaw (formerly known as Clawdbot and Moltbot), an open-source autonomous AI agent project, quickly attracted global attention. As an automated intelligent application ...

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 ...

In healthcare software, quality is inseparable from compliance. A feature working as designed is not enough. Every workflow, integration, and data exchange must protect Protected...Read More The post ...

Defense AI expert and Army cyber veteran raise over $1.1M to protect the sensitive datasets powering AI systems ...

Calsoft introduced an AI-powered approach to Test Impact Analysis that eliminates unnecessary test executions in CI/CD ...

The growth of the Data Analysis Software Market is primarily driven by the exponential rise in structured and unstructured ...

Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing costly scraping with structured function calls.