TL;DR AI risk doesn’t live in the model. It lives in the APIs behind it. Every AI interaction triggers a chain of API calls across your environment. Many of those APIs aren’t documented or tracked.

In today's security landscape, some of the most dangerous vulnerabilities aren't flagged by automated scanners at all. These ...

Corporations strategically control markets with open-source software. The community participates without realizing that the ...

Omni raises $120M at a $1.5B valuation to scale its AI-powered analytics platform, helping enterprises unlock smarter data ...

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

In this Q&A, TechMentor speaker Mayuri Lahane outlines the habits, constraints and evaluation practices that can help teams turn AI experimentation into repeatable workflows.

Agentic AI tools present the possibility of substantial efficiency gains for legal teams, but the risks they pose require ...

Learn how to build strong basics for IBPS SO exam with clear concepts, subject-wise strategy, and smart study tips to improve ...

Martin Grossen, Director, Embedded Software and Cloud at Avnet Silica, discusses its collaboration with Microsoft.

Google Cloud Storage is scaling faster than most organisations can keep up with. Buckets routinely hold billions of objects ...

Gemini Enterprise is transforming the way businesses use AI. Discover the latest developments and possibilities.

A practical guide to Perplexity Computer: multi-model orchestration, setup and credits, prompting for outcomes, workflows, ...