As nearly half of all Australians say they have recently used artificial intelligence (AI) tools, knowing when and how ...

Classic cybersecurity tools are nearly powerless against semantic attacks. Signature detection, hashing, and code audits all depend on identifying explicit changes in code or data, but meaning-level ...

Understanding, organizing, and validating data directly affects the accuracy of stories. New tools make cleaning accessible ...

"Vibe coding" appeared in early 2025 to describe the simple idea of programming with AI tools. So I tested a range of them — ...

Applications built by citizen developers using no-code platforms expand the attack surface without the same checks and balances as traditional development.

Global cyber roundup: new AI bug bounties, malware threats, GDPR backlash, Cisco zero-days, data leaks, and rising attacks on ...

Recorded third quarter 2025 worldwide revenue of $384.0 million, GAAP fully diluted earnings per share of $0.41, adjusted fully diluted earnings ...

The approach enables DFT and design verification (DV) teams to operate in parallel, accelerating development cycles while improving fault coverage. This cohesive strategy not only boosts test ...

Contrast Application Security Testing (AST) is a runtime-driven security solution that detects and prioritizes ...

The iconic Java framework has evolved and modernized, integrating a host of new features without sacrificing power or ...

Learn how to build secure, enterprise-ready SaaS applications. This guide covers development, ops, and product security best practices for meeting enterprise requirements.

Here's how integrating runtime security and observability can protect your AI-generated code and unburden your teams.