The Microsoft Zero Trust workshop has been expanded to cover all six pillars of Microsoft's Zero Trust model, providing a ...

AI attacks are exposing gaps in multivendor stacks. CISOs are shifting to single-vendor SASE to consolidate, reduce risk and ...

EIP-7983, co-authored by Vitalik Buterin, sets a 16.77 million gas limit per transaction to protect Ethereum from DoS attacks ...

By adhering to key design principles, creating a robust architecture, and selecting appropriate development tools, you can build a service that effectively protects against malware and ransomware.

In particular, generative AI workloads can exacerbate network complexity in four ways.

This is how efficient packetization works in network-on-chip (NoC) communications. Source: Arteris MCU vendors adopt NoC interconnect Many MCU vendors relied on proprietary interconnect solutions for ...

Tool designed to validate the network performance of AI workloads and system infrastructure by adjusting and optimising parameters.

Keysight AI (KAI) Data Center Builder is an advanced software suite that emulates real-world workloads to evaluate how new algorithms, components, and protocols impact the performance of AI training.

Ram Periakaruppan, Vice President and General Manager, Network Test & Security Solutions, Keysight, said: “Scaling AI data centers requires more than component-level validation.

Spoiler: there isn’t just one network definition. Learn everything you need to assess various network types, topologies, and architectures.