The HSM hasn’t changed much in decades, even as everything else around it has. It’s time to stop thinking of HSMs as boxes ...

Is it reasonable to develop and deploy AI agents without a continuous testing strategy? Consider these test-driven approaches ...

As LLMs, agents and Model Context Protocols (MCPs) reshape software architecture, API sprawl is creating major security blind spots. The 2025 GenAI Application Security Report reveals why continuous ...

The long-running Contagious Interview campaign is now hiding BeaverTail and InvisibleFerret payloads inside JSON storage ...

Buying a mobile app business, thus saving money in development costs, has become one of the smartest shortcuts in digital ...

Microsoft is pushing enterprise computing toward self-running platforms where AI agents watch, diagnose, repair, and optimize systems continuously. Here's its vision and what it hopes to solve.

Unlike conventional IT systems—with bounded entry points, predictable patch cycles, and known vulnerabilities—large language models (LLMs) and ...

As MCP servers become more popular, so do the risks. To address some of the risks many vendors have started to offer products ...

The real gains come not from unquestioningly adopting every tool but from aligning AI investments with business bottlenecks.

We also have our own internal Cisco LLM. As it uses up-to-date Cisco data—in contrast to external data—its responses are up ...