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.

AWS introduced a managed harness in Amazon Bedrock AgentCore that deploys autonomous AI agents in three API calls, alongside ...

First, on March 4, Anthropic adjusted Claude Code's default reasoning effort level from high to medium. Effort level controls ...

SINGAPORE, SINGAPORE, SINGAPORE, April 26, 2026 /EINPresswire.com/ -- April 2026 was the most intense month in the ...

Nansen noted that in the ecosystem of blockchain analytics, traditional access models have long frustrated developers and ...

The AI subscription buffet may still be open, but the plates are getting smaller, the premium dishes are moving behind higher ...

How Microsoft secures Dynamics 365 and Power Platform by removing credentials, reducing attack surfaces, and using platform ...

A new financially motivated hacking group tracked as BlackFile has been linked to a wave of data theft and extortion attacks ...

The "Lego" strategy shows how to design a business as modular, interchangeable parts — so you can unplug, swap or rebuild ...

Companies like Meta and Shopify have made headlines by treating token usage as a key performance indicator, and employees ...

The design example shows OTA firmware update performed on a microcontroller using the "staging + copy" method.

Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...