Ketan Karkhanis explains how ThoughtSpot is building out an enterprise intelligence layer for smarter AI agents, which can ...

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 ...

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.

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

As enterprises race to adopt generative and agentic AI, many assume their data foundations are already in place. In reality, ...

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.

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

A China-founded start-up that specialises in artificial intelligence agents was acquired by US tech giant Meta Platforms for billions of dollars, marking a landmark deal amid US-China competition in ...

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