Agent data injection forges trusted fields across six AI models, redirecting web and coding agents while bypassing prompt ...

Intruder built an AI-powered "vulnerability vending machine" that combines code slicing with LLMs to automatically discover ...

Prompt injections, the malicious commands attackers embed into content to entice LLMs to follow them, have been attackers’ go ...

A PNG hiding a prompt injection could steal your repo's secrets, researchers demonstrate. The technique, dubbed 'Ghostcommit, ...

Security tools are written in specific languages for reasons, not by accident. Python runs most pen-test automation. Metasploit is Ruby. Ghidra and IDA output x86 Assembly. CISA and the NSA are now ...

In web application development, database integration is an unavoidable path. However, in your enthusiasm to implement features, are you putting security measures on the back burner? We frequently hear ...

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 ...

The open-source agentic data quality framework. Point it at your policy docs and warehouse — it generates rules, validates your data, diagnoses every failure with LLM root-cause analysis, and proposes ...

Artificial intelligence and related technologies are evolving rapidly, but until recently, Java developers had few options for integrating AI capabilities directly into Spring-based applications.

In this tutorial, we build an AI-assisted vulnerability scanner that goes beyond static CVSS scoring and instead learns to prioritize vulnerabilities using semantic understanding and machine learning.

Spring Boot is one of the most popular and accessible web development frameworks in the world. Find out what it’s about, with this quick guide to web development with Spring Boot. Spring’s most ...