Proactive IT: How AI is Transforming Future of Network Visibility
14 Jul 2025
by colette Kitterhing,
Proactive IT: How AI is Transforming Future of Network Visibility
IT teams have been stuck in a reactive mode for years, responding to performance issues only after they begin to affect users. Yet, despite the availability of monitoring tools which can flag performance issues, 84 percent of network professionals say they typically learn about issues from the users themselves. There is a lot of opportunity to proactively improve the identification and resolution of issues before they begin to impact productivity.
Most monitoring tools can overwhelm professionals with data overload - charts, logs, and endless alerts that require manual correlation to diagnose issues - meaning resolutions take time to be implemented and productivity suffers. But the answer to these issues lies in the latest technological advancement - artificial intelligence (AI).
AI enables faster decision making, clearer insight, and more efficient operations by automating tasks, enhancing security, streamlining routine processes, optimising resources and more broadly, improving efficiency. In general, it helps organisations shift from reacting to problems to anticipating them, reducing the time to a solution.
Artificial intelligence changes what is possible
So, how can IT teams leverage AI today to make a difference when solving issues?
Firstly, they can use automated anomaly detection. Here, AI continuously analyses vast amounts of network data in real time to identify unusual patterns before they escalate into outages. Additionally, they can leverage predictive maintenance, which takes this a step further by replicating human-like decision-making to diagnose complex issues, enabling proactive interventions. Through intelligent alerting, AI-powered systems effectively filter and prioritise critical notifications, minimising noise and ensuring swift responses to real problems.
On the security front, AI also enhances protection by examining traffic for suspicious activity, identifying potential threats, and launching rapid countermeasures against cyberattacks. Finally, proactive network management benefits from AI’s ability to automate configuration, detect faults, and implement repairs, boosting performance while significantly reducing the likelihood of human error.
It’s time we embrace AI
AI isn’t here to replace IT teams - it’s here to empower them. Those who embrace AI will gain a competitive advantage and will shift from acting reactively to issues, to proactive optimisation. With AI-driven automation, potential issues are identified and addressed before they ever affect users.
Delivering a seamless user experience demands a balance of efficiency, security, and reliability, and AI is the catalyst for achieving all three. But automation alone isn't enough. IT needs a unified view of the network, with a single platform that consolidates visibility across all traffic, whether on-premises, in the cloud, or direct-to-internet, so teams can stay ahead of disruptions and keep everything running smoothly.
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Kir Nuthi
Head of AI and Data, techUK
Kir Nuthi
Head of AI and Data, techUK
Kir Nuthi is the Head of AI and Data at techUK.
She holds over seven years of Government Affairs and Tech Policy experience in the US and UK. Kir previously headed up the regulatory portfolio at a UK advocacy group for tech startups and held various public affairs in US tech policy. All involved policy research and campaigns on competition, artificial intelligence, access to data, and pro-innovation regulation.
Kir has an MSc in International Public Policy from University College London and a BA in both Political Science (International Relations) and Economics from the University of California San Diego.
Outside of techUK, you are likely to find her attempting studies at art galleries, attempting an elusive headstand at yoga, mending and binding books, or chasing her dog Maya around South London's many parks.
Usman joined techUK in January 2024 as Programme Manager for Artificial Intelligence.
He leads techUK’s AI Adoption programme, supporting members of all sizes and sectors in adopting AI at scale. His work involves identifying barriers to adoption, exploring solutions, and helping to unlock AI’s transformative potential, particularly its benefits for people, the economy, society, and the planet. He is also committed to advancing the UK’s AI sector and ensuring the UK remains a global leader in AI by working closely with techUK members, the UK Government, regulators, and devolved and local authorities.
Since joining techUK, Usman has delivered a regular drumbeat of activity to engage members and advance techUK's AI programme. This has included two campaign weeks, the creation of the AI Adoption Hub (now the AI Hub), the AI Leader's Event Series, the Putting AI into Action webinar series and the Industrial AI sprint campaign.
Before joining techUK, Usman worked as a policy, regulatory and government/public affairs professional in the advertising sector. He has also worked in sales, marketing, and FinTech.
Usman holds an MSc from the London School of Economics and Political Science (LSE), a GDL and LLB from BPP Law School, and a BA from Queen Mary University of London.
When he isn’t working, Usman enjoys spending time with his family and friends. He also has a keen interest in running, reading and travelling.
Sue leads techUK's Technology and Innovation work. This includes work programmes on AI, Cloud, Data, Quantum, Semiconductors, Digital ID and Digital ethics as well as emerging and transformative technologies and innovation policy. In 2025, Sue was honoured with an Order of the British Empire (OBE) for services to the Technology Industry in the New Year Honours List. She has also been recognised as one of the most influential people in UK tech by Computer Weekly's UKtech50 Longlist and was inducted into the Computer Weekly Most Influential Women in UK Tech Hall of Fame.
A key influencer in driving forward the tech agenda in the UK, in December 2025 Sue was appointed to the UK Government’s Women in Tech Taskforce by the Technology Secretary of State. She also sits on the UK Government’s Smart Data Council, Satellite Applications Catapult Advisory Group, Bank of England’s AI Consortium and BSI’s Digital Strategic Advisory Group. Previously, Sue was a member of the Independent Future of Compute Review and co-chaired the National Data Strategy Forum. As well as being recognised in the UK's Big Data 100 and the Global Top 100 Data Visionaries in 2020, Sue has been shortlisted for the Milton Keynes Women Leaders Awards and has been a judge for the Loebner Prize in AI, the UK Tech 50 and annual UK Cloud Awards. She is a regular industry speaker on issues including AI ethics, data protection and cyber security.
Prior to joining techUK in January 2015, Sue was responsible for Symantec's Government Relations in the UK and Ireland. Before that, Sue was senior policy advisor at the Confederation of British Industry (CBI). Sue has an BA degree on History and American Studies from Leeds University and a Master’s Degree in International Relations and Diplomacy from the University of Birmingham. Sue is a keen sportswoman and in 2016 achieved a lifelong ambition to swim the English Channel.
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