Build an AI code review pipeline on GitHub Actions with Semgrep, reviewdog and a Python model reviewer. 12 steps, tested code ...

See how Foundry turns LLM hunches into verified findings on Langflow, MLflow, and PyGoat, using an evidence gate and an honest look at token cost.

Veracode, the pioneer in application risk management, announces a jump from 56 percent to 62 percent in overall AI-generated ...

"We've been analysing code generated by multiple LLMs for more than a year. Until now, we have not seen a marked improvement in AI code security, despite consistently near-perfect functionality," said ...

Incidents where API keys are leaked due to code written by developers, leading to cloud bankruptcy, are endless. When requesting code reviews from LLMs, cases where confidential credentials or unverif ...

Manual code review is limited to 50,000 yen per month. With GPT-6 Astra, initial scans are completed in 3 minutes, reducing ...

Prompt injection test lab: build a 12-step Python harness that scores Claude, GPT, Gemini, Mistral and DeepSeek on 14 OWASP ...

On October 21, 2026, a compromised LiteLLM 1.107.0 release was published to the Python Package Index (PyPI) and distributed through official container images. The malicious package added files that ...

Anthropic announced that its internal AI models undergoing "high-risk and cybersecurity evaluations" no longer have internet access following incidents involving U.S. government websites at the ...

AI agents that run code can leak secrets, install malware, and wipe your repo. Learn the 5 hidden security risks and how to sandbox your agents safely.

Python code becomes harder to test when functions create their own database clients or HTTP sessions. Dependency injection (DI) lets the caller pass those objects into a function or class, so tests ...