AI accelerates software development, but can security and governance keep pace with rising risk?

As AI-generated code enters enterprise systems faster, the informal safety net provided by humans must be replaced with ...

Developers need to recognize what secure software looks like so they can communicate those expectations to AI and confirm ...

Large language model-based coding assistants, such as GitHub Copilot and Amazon CodeWhisperer, have revolutionized the software development landscape. These AI tools dramatically boost productivity by ...

AI-generated malware is outpacing human-centered security controls, find out how enterprises can fight back.

ActiveState surveys 300 security and engineering leaders on AI coding, open-source remediation debt, governance, and business ...

Secure Code Warrior, a leader in AI software governance and developer security upskilling, today introduced the SCW AI Trust Index, a living benchmark for AI coding security that grows with every new ...

90% of security leaders have active concerns about AI-generated code 67% say AI coding assistants are now widely adopted across development teams 38% still rely primarily on manual review for ...

Development teams are increasingly relying on AI coding tools to accelerate software delivery, but many organizations still lack visibility into the risks introduced by AI-assisted development. In ...

Accelerated use of AI in software development is rapidly altering the scope, skills, and strategies involved in securing code as it is created. Artificial intelligence tools are revamping DevSecOps ...

Semgrep, a leading code security company, today announced a deepened partnership with Replit to bring automated, real-time security analysis directly into the AI-native development workflow.

Developed by Quandary Peak experts and described in a peer-reviewed paper, the framework analyzes how unfamiliar software ...