What can we do to secure our networks in the age of AI?
The deployment of artificial intelligence in organizations is accelerating a profound transformation of technological infrastructures. AI-driven applications, process automation, intelligent assistants, and advanced analytics are redefining the way companies operate.
So far, that’s the opportunity side. However, this shift is also expanding the attack surface and raising the level of demand on corporate networks. This is where the challenge of turning networks into secure infrastructures begins.
In this new context, the network is no longer a purely operational element: it has become a key component of the security strategy. It is no longer just about connecting users, applications, and data (in reality, it never was), but about doing so in a secure, intelligent, and adaptive way. Security, therefore, cannot be understood as an additional layer, but as an inherent property that the network itself must embed.
AI, risk, and growing complexity
The adoption of AI introduces new challenges. Data flows are multiplying, requiring constant connectivity across distributed environments: data centers, public clouds, the edge, and devices. And as if that weren’t enough, risk vectors are also increasing—for example, the uncontrolled use of AI tools.
On top of this, traditional security models based on defined perimeters have become completely outdated. Organizations need real-time visibility, comprehensive access control, and the ability to respond immediately to any incident.
In this scenario, concepts such as Zero Trust, advanced segmentation, and identity-based secure access are no longer trends but fundamental requirements. Networks are no longer just transporting data: they protect, detect, and respond.
Talking about secure networks in the age of AI means thinking about infrastructures capable of natively integrating security capabilities. This translates into three key functions. First, prevention—through mechanisms that limit access strictly to necessary resources and reduce exposure. Second, detection—enabled by continuous monitoring and behavioral analysis of users and applications. And third, response—with the ability to isolate incidents, contain threats, and quickly restore operations.
Artificial intelligence plays a dual role here: as a source of new risks, but also as an enabler to improve detection and automate responses.
It is clear that organizations capable of integrating networking and security as a unified whole will be better positioned to face the challenges of AI and fully leverage its potential with confidence.
To address this new challenge arising from the integration of AI, the webinar “Secure Networks for the AI Era: Key Insights from Cisco Live” will take place on June 30, where some of the key aspects of building secure networks in the age of artificial intelligence will be discussed.
During the session, Begoña Zurita from Cisco will delve into the evolution of networking and the main changes shaping the future of digital infrastructures. Next, Luis Enrique Laguna from Ikusi will analyze the role of secure networking in AI-driven environments, exploring how security strategies must adapt. Finally, Iván Santos will demonstrate, through a live demo, how tools such as Cisco Access Manager can bring these approaches into practice.