There is little doubt that enterprises will be deploying agentic AI. As such, technology firms are looking at various ways to secure these systems.

Chinese AI models are challenging OpenAI and Anthropic on cost, but enterprises must weigh lower prices against security, compliance, and vendor risk.

The pressure to add AI to your product is hard to ignore. But most bad AI features start with the wrong question. Here are seven to ask before you build.

The API Agent is available now. To get started, visit checksum.ai.

Gate announced a major upgrade to its AI service platform, Gate.AI, providing enterprises and developers with a one-stop ...

Veracode is a mature application security platform used by many enterprises to find, manage, and remediate software risk. Its ...

CData CLI, is a command-line tool that enables developers to build and test integrations using CData’s connectors. The company says the tool is optimized for AI-assisted development environments while ...

Cross-Repo Code Review, Custom Rules Miner, and Skill Review Standards give enterprises the governance infrastructure to scale AI Quality development without slowing down ...

AI agents are great at coding, but they tend to wander off-track unless you use explicit specs, solid design documents and ...

GameSpot may receive revenue from affiliate and advertising partnerships for sharing this content and from purchases through links. The Team Builder feature has returned in College Football 26, ...

Modern product development is full of complex ideas. A small feature may involve user research, product requirements, ...

“We operate a UPI infrastructure on a 100% open source stack. People used to ask, ‘Can we really scale and build ...