AI-generated code is opening up a host of vulnerabilities, and security continually lags behind software development. It’s time to get uncomfortable.

The advantages AI tools deliver in speed and efficiency are impossible for developers to resist. But the complexity and risk ...

AI-generated computer code is rife with references to non-existent third-party libraries, creating a golden opportunity for ...

IT business leaders face a practical challenge: how to gain efficiencies from GenAI while implementing appropriate safeguards ...

Copilot-enabled repos are 40% more likely to contain API keys, passwords, or tokens — just one of several issues security leaders must address as AI-generated code proliferates. AI coding ...

Naive prompts merely asked to generate code for a specific application, without specifying security requirements. Prompts that generally specified a need for security produced more secure results ...

Multiple AI jailbreaks and tool poisoning flaws expose GenAI systems like GPT-4.1 and MCP to critical security risks.

The answer is border technology that ensures transparency and accountability. Just as post-9/11 screening tools helped ...

Enterprise cybersecurity automation platform Blink Operations Inc. today announced the launch of its artificial intelligence No-code Security Agent Builder, which will give security teams greater ...

Some of the world’s most popular large language models (LLMs) are producing insecure code by default, according to a new analysis by Backslash Security. The findings demonstrate the security risks ...

SecurityBridge, the Cybersecurity Command Center for SAP, is releasing its SecurityBridge Code Vulnerability Analyzer (CVA) powered by AI, a significant enhancement to its holistic SAP security ...