Full-Stack Intelligence: Networking, Security, and AI
Cisco Live 2026 focused on the convergence of infrastructure and intelligence, defining our unified, full-stack approach. This strategy is essential as agentic AI refactors enterprise traffic patterns; we are responding by building the connectivity and open standards necessary to ensure autonomous agents operate securely and at scale.
- Cisco Live U.S. demonstrated our strategic shift with the launch of Cisco Cloud Control and Cisco IQ, redefining how enterprises manage the complexities of the AI-driven landscape. Read more ➡️ http://cs.co/9004BDl15u | Watch the recaps ➡️ http://cs.co/9008BDl1kE
- To handle growing demand, as agentic tasks generate 450% more traffic than human-driven work, we are refactoring our infrastructure. Read more ➡️ http://cs.co/9004BDlG5g
- Integrating Cisco’s infrastructure telemetry with Splunk’s observability data, builds the intelligence layer required for agentic operations. Learn how this is anchored by the network ➡️ http://cs.co/9003BDlGcD | Read more about this integration ➡️ http://cs.co/9003BDlGwz
Defense at Machine Scale
As AI accelerates the pace of vulnerability discovery, our defense must evolve just as quickly. Manual, ad-hoc patching is not enough—we need a high-velocity, AI-driven security model.
- We had a candid conversation with OpenAI leadership on cyber defense, exploring how we maintain trust as AI agents reshape the threat landscape. Listen to the conversation ➡️ http://cs.co/9001BDl1B9
- What used to take eight years of work, was slimmed down to two months through use of AI, our security team scanned 1.8 billion lines of code. Read more ➡️ http://cs.co/9002BDlGIM
- Policy Studio is now in Cisco AI Defense: a flexible AI assistant that shows policy owners how to build custom guardrails within the platform. Read more ➡️ http://cs.co/9009BDlDxD
From Quantum to Concerts and more
From quantum labs to massive live events, innovation requires a focus on operational reliability and interconnectivity.
- Researchers at our Santa Monica, CA lab are addressing the networking challenges of quantum computing, focusing on the interconnectivity required to scale distributed quantum systems. Read more ➡️ http://cs.co/9006BDlHJ2
- Our teams deployed Wi-Fi 7 and real-time observability to maintain network performance for thousands of users under the high-density traffic demands of BottleRock 2026. Read more ➡️ http://cs.co/9003BDlDjd
Engineering at the Edge
To keep building, you need a strong foundation. That's why we're scaling infrastructure performance through integrated engineering and ecosystem strategy.
- Cisco joined a coalition of industry leaders to establish a single open standard, allowing AI agents to discover and interact with each other across diverse enterprise environments. Read more ➡️ http://cs.co/9009BDl1xP
- We stress-test our security architecture by deploying our own SSE solutions internally, ensuring resilience at global enterprise scale. Read more ➡️ http://cs.co/9000BDlEJI
- To deliver secure, scalable infrastructure for data center AI workloads, we are integrating Cisco’s high-performance networking with NVIDIA’s AI computing platforms. Read more ➡️ http://cs.co/9007BDlEnz
- Our CTO of Wireless Matthew MacPherson breaks down the intersection of Wi-Fi, AI, and enterprise networking, offering a candid look at the challenges our teams are solving today. Listen to the conversation ➡️ http://cs.co/9006BDl1sM
Our engineering teams are shifting cybersecurity from reactive to proactive by integrating AI directly into the defense stack. Hear how we are building the security layer for the AI era.
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From a manufacturing perspective, the real opportunity begins when AI moves beyond dashboards and starts making reliable operational decisions. That requires secure connectivity, standardized data, and end-to-end visibility across suppliers, factories, and logistics. Technology is only as intelligent as the ecosystem supporting it.
Building the future of AI, today. 🚀
I’m excited to learn more about Agentic AI for networking and security. Cisco research shows that AI agents can generate up to 450% more network traffic than human-driven work, which creates new scalability and security challenges. As networks continue to evolve, AI-driven security models can help detect vulnerabilities faster, strengthen network protection, and support rapid network growth at scale.
Michele Sortino, +58 414 3237369 (michele.sortino@gestiondemantenimiento.com) Hola, vi que manejan muchos activos, para producir; cómo controlan las horas de vida útil, de sus equipos (activos), para evitar que se dañen? Podemos conversar acerca de cómo mejorar eso. Espero tu respuesta; Saludos. www.gestiondemantenimiento.com
AI can scale detection, but it also scales the attack surface. At machine speed, the real challenge isn’t visibility, it’s decision latency. If response isn’t equally fast, systems fail not from lack of data, but from delayed action.