AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

The good news? This isn’t an AI limitation – it’s a design feature. AI’s flexibility to work across domains only works because it doesn’t come preloaded with assumptions about your specific situation.

Application security agent rewrites developer prompts into secure prompts to prevent coding agents from generating vulnerable ...

Python.Org is the official source for documentation and beginner guides. Codecademy and Coursera offer interactive courses for learning Python basics. Think Python provides a free e-book for a ...

Explore different methods for authenticating devices on a network, from hardware addresses to advanced certificate-based ...

This virtual panel brings together engineers, architects, and technical leaders to explore how AI is changing the landscape ...

AgentRun is a Python library that makes it easy to run Python code safely from large language models (LLMs) with a single line of code. Built on top of the Docker Python SDK and RestrictedPython, it ...

Discover the leading database management systems for enterprises in 2026. Explore key features, pricing, and implementation tips for selecting the best DBMS software to harness your data effectively.

A new Visual Studio Code extension called Nogic sparked a wide-ranging Hacker News discussion, with commenters praising its ...

Dam Secure has raised $6.1 million to help enterprises catch security flaws in AI-generated code before it reaches production ...