The conversation around AI has shifted.
It’s no longer if organisations will adopt AI - it’s how quickly they can do it, and whether they can do it safely.
That was the overriding theme at the CISO Inspired Summit North, where Nasstar joined security leaders from across the UK to explore one of the most pressing questions facing CIOs and CISOs today:
Are we truly ready for AI?
What “AI ready” actually means
At the event, Nasstar hosted an interactive session designed to cut through the noise and focus on the real challenge. We addressed the fact that the issue isn’t a lack of AI tools. It’s that AI adoption is accelerating faster than the network and security foundations required to support it.
Across discussions, polling, and conversations with peers, a consistent theme emerged:
Many organisations are moving fast on AI, but their infrastructure is still designed for a very different world.
From our AI readiness perspective, legacy environments were built for centralised users, predictable traffic flows, and clearly defined perimeters. AI changes all of that, increasing connectivity, data movement, automation speed, and ultimately, risk.
The expanding attack surface
One of the most discussed challenges at the summit was the collision between AI, hybrid working and cloud adoption. Hybrid working alone has already dissolved the traditional perimeter. Add AI into the mix, and complexity accelerates fast.
Our hybrid networking insights highlighted that:
Users now connect from anywhere
Applications live across multiple clouds
Data is constantly in motion
The result of this is an attack surface that is broader, less visible, and harder to control.
In many organisations, this creates dangerous gaps with fragmented visibility, inconsistent policy enforcement, and slower detection and response. And attackers are evolving too, increasingly using AI to exploit these exact weaknesses.
The operational reality: Where strategies break down
Another key takeaway from conversations at the event was that security strategies don’t fail on paper; they fail in operation.
While concepts like SASE, Zero Trust, and AI-driven security are widely understood, the reality of running them day-to-day is far more complex.
In our NetSecOps experience, organisations are often dealing with:
Tool sprawl and multiple vendors
Siloed networking and security teams
Alert overload without clear action
Inconsistent controls across environments
This creates a gap between capability and outcome. AI can generate insight but without the right operational model, that insight doesn’t translate into faster, better decisions.
Why the network is now a strategic enabler
Throughout the summit, and in our own session, there was the growing realisation that AI success is fundamentally dependent on network and security architecture.
This is where technologies like SD-WAN and platform-based security come into play - not as upgrades, but as enablers of transformation.
Modern networks deliver far more than connectivity:
Consistent application performance
Built-in resilience and uptime
Direct, optimised access to cloud and SaaS
Integrated security by design
But more importantly, they create the conditions needed for real-time visibility, automated response, and scalable AI adoption. Without this, AI initiatives risk being constrained, or worse, exposing new vulnerabilities.
The shift to platform thinking and zero trust
One of the clearest conclusions from the event was that incremental change isn’t enough anymore. Organisations are moving away from fragmented architectures towards platform-based models that unify networking, security, visibility, and control.
This shift enables:
Zero Trust access by default
Consistent policy enforcement everywhere
End-to-end observability
Automation at machine speed
And critically, it supports the increasing overlap between AI adoption, regulatory requirements, and operational resilience.
AI readiness isn’t just a technical challenge; it’s also a compliance and governance challenge.
AI, regulation, and resilience: A growing collision
Another recurring theme across the summit was the growing pressure from regulation.
As AI adoption increases, so does the expectation to demonstrate control, prove visibility, and respond predictably to threats. But legacy, fragmented environments make this extremely difficult.
Modern architectures - particularly those built on Zero Trust and unified platforms - make it far easier to monitor continuously, enforce policy consistently, and provide audit-ready evidence.
In other words, the same foundations that enable AI also enable compliance.
Are organisations really AI ready?
The honest answer, and one echoed across the summit, is:
Not yet.
But that’s not due to a lack of ambition or investment. It’s because many organisations are still building AI capabilities on top of legacy networks, fragmented security stacks, and operational models that can’t keep pace. And that creates risk.
The key takeaway: AI readiness starts with the foundations
If there was one message that stood out from the CISO Inspired Summit North, it’s this:
AI doesn’t transform organisations on its own - the foundations beneath it do.
To adopt AI safely, securely, and confidently, organisations need:
Simplified, unified network and security platforms
A NetSecOps approach that connects strategy to operations
End-to-end visibility and control
Architectures designed for hybrid, cloud-first environments
Only then can AI become a driver of innovation - not a source of risk.
How Nasstar helps organisations get there
At Nasstar, this is exactly where we focus. From our session at the summit to our work with customers every day, our goal continues to be helping organisations move from AI ambition to AI readiness.
Because AI success doesn’t start with an algorithm. It starts with the network that connects - and protects - everything.
