Overview: AI-powered cloud security tools use machine learning and automation to detect threats faster than traditional ...

As software architectures evolve toward cloud-native environments, AI-assisted development, API-centric products, and distributed CI/CD pipelines, the attack su ...

Writing clean, bug-free code is a point of pride for any developer. For decades, tools that measure code quality have been a ...

Developers are leaning more heavily on AI for code generation, but in 2026, the development pipeline and security need to be ...

AI-driven attacks leaked 23.77 million secrets in 2024, revealing that NIST, ISO, and CIS frameworks lack coverage for ...

How Can Organizations Justify the Investment in AI Security Tools? Do the benefits of AI security tools truly justify their costs? Where organizations increasingly shift towards cloud environments, ...

AI can inadvertently introduce vulnerabilities by hallucinating libraries or repeating insecure patterns found in its ...

Security researchers have found various security-relevant errors in GnuPG and similar programs. Many of the vulnerabilities ...

The Model Context Protocol (MCP) changes this equation. Think of it as the "USB-C for AI." It's an open standard that allows ...

Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...

Discover the 10 best Infrastructure as Code (IaC) tools for DevOps teams in 2025. Learn how these tools enhance automation, stability, and scalability in cloud environments. Improve your deployment ...

A new report by AI software company CodeRabbit found that code generated by an AI was far more error-prone than human-written ...