As AI agents take their place in the economy, the question of which money they use is a choice that will echo for decades.

Adversaries are increasingly favoring stealth versus overt exploits, using legitimate system tools, stolen credentials and encrypted communications to remain undetected.

Traditional Ethernet security mechanisms were not designed for the scaling and trust assumptions of next‑generation networks.

Pi Network launched at $2.99 and crashed to $0.13 in 12 months. With the DEX launching on March 12 and 187M tokens unlocking this month, where does PI go next?

Fior’s MCP capability enables telecom operators and infrastructure providers to securely authenticate and manage these AI agents, ensuring that every autonomous system interacting with a network has a ...

Later, with the launch of PETAR2M.COM, Martín Guijarro democratized access to the sector through a highly professionalized franchise model, allowing entrepreneurs to operate under elite standards ...

Training large models requires building or upgrading data centers. But centralized infrastructure is now running into hard physical limits. To improve this infr ...

Confluent’s Streaming Agents use the Agent2Agent (A2A) protocol to trigger and coordinate external AI agents using real-time data streams, making it easier to connect AI systems across an enterprise.

Unlike previous Wi-Fi attacks, AirSnitch exploits core features in Layers 1 and 2 and the failure to bind and synchronize a ...

The Linux Foundation's CAMARA project is exposing telecommunications network capabilities to AI agents through the Model Context Protocol (MCP), making network intelligence programmatically ...

Nvidia has released analysis showing a 4X to 10X reduction in cost per token for AI inferencing by switching to open source models. The cost discounts required combining Blackwell hardware with two ...