CloudBees Delivers on AI Promise to Improve Application Testing
CloudBees has made generally available an add-on for continuous integration/continuous deployment (CI/CD) platforms that uses artificial intelligence (AI) to determine […]
How Much Is That AI Subscription In My Windows?
Inference might be agreed to be the new battleground where the next AI winners emerge, but even before we reach
Google’s Scion Gives Developers a Smarter Way to Run AI Agents in Parallel
Running multiple AI agents on the same project sounds straightforward — until they start stepping on each other. Different agents
Appknox Adds AI Tool to Detect and Fix Vulnerabilities in Mobile Applications
Appknox today added an ability to apply artificial intelligence (AI) to assess vulnerabilities in the binaries used to construct a
Zencoder Adds OpenClaw Alternative to AI Coding Portfolio
Zencoder today extended its artificial intelligence (AI) agent platform for generating code to include an offering that enables application developers
Mallory Launches AI-Native Threat Intelligence Platform, Turning Global Threat Data Into Prioritized Action
Austin, Texas, United States, April 9th, 2026, CyberNewswire Built by a veteran security team and led by a former Google
LayerX: Anthropic’s Claude Code Can Easily Be Easily Weaponized
Like other AI model vendors, Anthropic relies on guardrails to ensure that its Claude family of models can’t be abused
Reclaim Developer Hours through Smarter Vulnerability Prioritization with Docker and Mend.io
We recently announced the integration between Mend.io and Docker Hardened Images (DHI) provides a seamless framework for managing container security.
Claude Code’s Ultraplan Bridges the Gap Between Planning and Execution
Planning a complex code change is hard enough. Reviewing it in a terminal window shouldn’t make it harder. Anthropic is
Google’s Next Coding Agent Could Change How Developers Think About Their Work
Jules was just the beginning. Google’s internally referenced “Jitro” project signals a bigger shift — from task execution to outcome-driven