1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump raw data into a lake and clean it up later. For AI Agents, this is ...

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

Understanding how threat hunting differs from reactive security provides a deeper understanding of the role, while hinting at how it will evolve in the future.

Cybersecurity experts share insights on securing Application Programming Interfaces (APIs), essential to a connected tech world.

AI is changing the way we think about databases. You can’t have reliable AI agents without reliable data infrastructure.

General availability on newer Linux distributions and CU1 signal a push toward stability, security and production readiness.

Microsoft has announced that read-only queries are now captured in the primary Query Store for Azure SQL, expanding visibility into database performance and workload behavior. Pre ...

Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...

Learn about the key differences between DAST and pentesting, the emerging role of AI pentesting, their roles in security ...

If you think SAST and SCA are enough, you’re already behind. The future of app security is posture, provenance and proof, not ...