Networking Redefined: The Cisco Vision for a Connected Future

At the sidelines of Cisco Live 2024 in Melbourne, Raymond Janse van Rensburg, Vice President of Networking and Solutions Engineering for APJC at Cisco, engaged in an insightful conversation with Minu Sirsalewala, Executive Editor of Dataquest. During the interaction, he shared about the transformative trends shaping the networking and communication landscape. From AI-driven automation to the evolving dynamics of IoT, Cisco’s strategies aim to redefine enterprise connectivity, security, and operational resilience.

The ability to securely identify devices, apply policies, segment networks, and monitor behaviour is fundamental.

At the heart of digital transformation lies an agile and secure networking backbone. In an exclusive interaction with Minu Sirsalewala of Dataquest, Raymond Janse van Rensburg delves into Cisco’s pivotal innovations, addressing emerging challenges in cybersecurity, IoT, and AI-readiness, particularly within the diverse Asia-Pacific, Japan, and Greater China (APJC) region. This conversation highlights Cisco’s commitment to empowering enterprises through cutting-edge technology, holistic approaches to cybersecurity, and a robust talent development ecosystem.

Networking has regained centre stage, thanks to advancements like AI and automation. How is Cisco addressing this renewed interest, considering the diverse economy and digital maturity levels within the APJC region, and what are the emerging use cases driving innovation?

The best approach is to reference the overall Cisco vision, which can be encapsulated in three key elements we highlighted today. One important aspect is the development of AI-ready data centres. This concept extends beyond data centres and cloud environments and includes future innovations.

For example, in the manufacturing sector, particularly in the Indian market, we are focusing on practical applications of computer vision. Take the case of a coffee cup moving through a production line; computer vision technology can analyse the positioning of the cup, validate the printing quality, and detect defects with extraordinary precision—up to a fraction of a millimetre. Depending on the setup, this can happen 60 times a second or more.

Integrating this technology into a Programmable Logic Controller (PLC) environment allows us to enhance operational processes. If an issue is detected, such as incorrect or unreadable writing, the system can automatically flag it for corrective action. This illustrates a clear use case of AI; however, supporting this requires a robust network infrastructure.

Modernising the factory infrastructure is critical as it facilitates secure connectivity, ensuring that data flows seamlessly from the AI model in the data centre through to the manufacturing plant. A vital takeaway here is that without a solid network foundation, the benefits of AI can be significantly limited.

A company might deploy a basic firewall or other security solutions and mistakenly believe they are adequately protected. In reality, a platform-centric approach is far more effective.

Moreover, security is paramount. As emphasized earlier, connected and protected systems are crucial as we expand our capabilities. The ability to securely identify devices, apply policies, segment networks, and monitor behaviour is fundamental. A simple example of this would be recognizing when a printer begins communicating with a database—a clear indication of a potential security issue.

In essence, the AI transition is set to profoundly impact our AI infrastructure, alongside the modernization of this infrastructure and reinforcing security measures.

Linking back to the security aspects you just mentioned, your cybersecurity readiness index reveals that only 3% of respondent organizations qualify as mature in this area. How critical is a platform-centric approach in closing this gap?

It is absolutely essential because we cannot approach this as a standalone issue. It mirrors the concept of the AI Readiness Index; having the right infrastructure is only one part of the equation. Organizations must also develop a comprehensive strategy, invest in talent, manage data effectively, and establish proper governance.

Unfortunately, there is a tendency within the industry to focus on isolated components. For instance, a company might deploy a basic firewall or other security solutions and mistakenly believe they are adequately protected. In reality, a platform-centric approach is far more effective. This perspective emphasizes the need to continuously identify devices connecting to the network, apply appropriate policies, enforce security measures, and segment networks accordingly.

By adopting this holistic approach, organizations can significantly improve their cybersecurity posture and work toward elevating that maturity level beyond the current 3%.

Given the current shortage of skilled cybersecurity professionals, does Cisco plan to balance human expertise with AI-driven automation to address this gap? Are there potential risks associated with relying on automation for critical security operations?

This topic is very close to my heart. Talent is something we must continuously focus on and invest in. Cisco is actively driving several initiatives in this realm. One key program is the Cisco Networking Academy, where we offer a security course aimed at inspiring young people to pursue careers in cybersecurity.

When it comes to the integration of AI, there are three primary aspects to consider: assisting, augmenting, and ultimately optimizing human capabilities. For instance, developing an AI model—such as Generative AI—that can assist professionals as they learn is invaluable. Imagine having a coach or a manager available to provide guidance, enabling individuals to accelerate their skill development.

Regarding augmentation, we are faced with a staggering volume of security events daily—billions, in fact. Managing that manually is unrealistic. Here, AI can help filter through this overwhelming amount of data to highlight the key problematic events that require human attention.

As for automation, we are steadily moving towards more advanced solutions. Think of self-driving cars as an analogy; while they are becoming a reality in some parts of the world, we are still at a stage where automation is user-activated. For instance, in establishing firewall policies, an AI assistant may present a recommended policy, but the user is still required to approve it. This checks-and-balances approach ensures that we maintain a level of oversight and control.

One key program is the Cisco Networking Academy, where we offer a security course aimed at inspiring young people to pursue careers in cybersecurity.

In summary, we are deeply committed to developing talent through initiatives like the Networking Academy. We envision a future where AI plays a crucial role in assisting, augmenting, and ultimately enhancing the capabilities of cybersecurity professionals.

IoT and IIoT are introducing complex digitization, especially in hybrid environments. Do you see this trend accelerating? How does Cisco handle the increasing complexity of security postures in such scenarios, particularly as emerging technologies evolve?

IoT and IIoT are undeniably transforming how organizations operate. To give a personal example, my home alone has over 30 IoT sensors managing everything from lighting to air conditioning. On a larger scale, industries like manufacturing and energy are integrating IoT to enhance visibility and efficiency within operational technology (OT) workflows. In India, for instance, we see around 20-22 major refineries, many of which are undergoing technological modernization cycles.

However, this modernization also increases the complexity of security. Cisco addresses this by emphasizing secure networking principles—identity, policy enforcement, segmentation, and real-time management. Tools like ‘Cisco Cyber Vision’ are tailored for OT environments, ensuring that even non-standard protocols like IPNet are monitored and secured.

Interestingly, we are seeing a shift in the IIoT space towards IP-enabled programmable logic controllers (PLCs), which simplifies integration with enterprise systems. While OT environments remain multi-protocol, this gradual move toward IP-based connectivity allows for easier management and stronger security alignment with IT frameworks. Scaling secure IoT solutions requires embedding security at every layer, making it an integral part of the network’s DNA.

Based on your experiences, what insights can you share about the Indian market? What are the key challenges or stabilizing trends you’ve observed?

I would describe the Indian market as highly dynamic and collaborative. Conversations often focus on how to collectively invest in talent and skill development, both within organizations and across the customer base. Cisco, alongside our partner ecosystem, prioritizes this effort because a more skilled workforce drives faster and more effective technology adoption.

Security remains a universal topic of concern. Organizations in India, like elsewhere, are keenly aware of the need to stay ahead of cyber threats while ensuring their operations remain relevant and efficient. Another exciting area is the pragmatic approach to AI adoption. Instead of deploying AI for the sake of innovation, Indian enterprises focus on solving specific business problems—be it improving manufacturing processes or enhancing customer experiences.

This use-case-driven approach ensures tangible ROI and accelerates momentum. It’s encouraging to see such a thoughtful adoption of technology, as it leads to meaningful transformations and builds a strong foundation for future innovation.

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