From the browser to the back end, the ‘boring’ choice is exciting again. We look at three trends converging to bring SQL back ...

Cisco has handed security teams one of the largest ever patching workloads affecting its firewall products, including fixes ...

Safe coding is a collection of software design practices and patterns that allow for cost-effectively achieving a high degree ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

DB/IQ, an application modernization solution, provides SQL quality control by automatically analyzing and validating ...

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

Narrow “shift left” has failed at AI scale. Move from developer-led fixes to AppSec-managed automation that triages findings and delivers tested pull-request fixes so teams can safely manage ...

Backend development is mainly defined by the library used to develop it. Choosing modern, optimized Node.js libraries directly impacts scal ...

A financially motivated threat group dubbed "Diesel Vortex" is stealing credentials from freight and logistics operators in ...

As businesses rely more on software to deliver products and services, it is vital to secure their applications against threats such as code injection, data breaches, and privilege escalation.

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

AI-assisted development accelerates software delivery but expands the threat surface. From prompt injection and malicious MCP ...