Moving Fast and Staying in Control in the Agentic AI Era
A Cisco Live announcement shows how handing work to AI agents doesn't have to mean handing over control, Cisco’s Chief Communications Officer explains.
A Cisco Live announcement shows how handing work to AI agents doesn't have to mean handing over control, Cisco’s Chief Communications Officer explains.
Discover how Cisco IQ's APIs and MCP server give developers and AI agents one canonical model, deterministic guardrails, and platform-level correlation.
How the PubHub team replaced the Figma handoff with an AI-built, designer-refined HTML prototype, and what worked and didn't along the way, so other teams can adapt it.
Two GPU-backed Antares Learning Labs are live. Use a small open-weight model to narrow a repo to the files that may hold a CWE, then see how DevNet shares one GPU across learners.
An AI agent reviewed our sandbox network design, caught routers hanging off the spines, and asked one question that turned a Clos fabric into a two-tier vPC design.
A CWE advisory names your dependency, but not where the bug lives. See how Cisco's Antares-1B localizes it offline on a laptop, with auditable traces and honest benchmark numbers.
Agentic AI has made modern systems unpredictable by design, but Splunk's latest research reveals how leaders use observability to restore control and drive measurable business value.
Learn how Cisco’s Secure Development Lifecycle (CSDL) is evolving to support AI-driven development, ensuring secure and resilient software at speed.
Trust, not raw intelligence, will drive AI adoption as Cisco and NVIDIA build context-aware, distributed controls for safe enterprise agents at scale.