Last week we attended the Gigamon EMEA Partner Summit – a day focused on where cybersecurity is actually heading, not just where the headlines say it is.
The strong mix of Gigamon technical experts, C-suite insight and complementary vendors meant the conversations were open, honest and genuinely useful.
The quality of the sessions really stood out. Less theory, less vendor noise – more real insight into what’s working, what’s not and where things are going wrong in real environments.
Alongside some great conversations across the partner ecosystem, we were proud to come away with three awards:
- Partner Excellence Award
- Sales Excellence Award
- Marketing Excellence Award
Combined with our EMEA Partner of the Year recognitions over the last two years, this reinforces the strength of our partnership with Gigamon. But more importantly, the discussions reinforced something we see every day – the gap between ambition and reality in cybersecurity is still wide.
Here’s what stood out to our team…
1. AI is only as good as the data behind it
There was a consistent message across the day – AI isn’t a silver bullet. If the data going in isn’t right, the output won’t be either. Simple as that.
Most environments are still dealing with fragmented data, inconsistent sources and gaps in visibility. Layer AI on top of that and you just get faster, noisier problems.
This is where we’re seeing organisations get caught out – investing in AI before fixing the fundamentals.
What this means for you: AI only works if your data does.
2. Speed is now the problem
Attackers aren’t just getting better – they’re getting faster.
We heard a lot about code-driven attacks. Automated, scalable and operating at a speed that human-led teams just can’t match.
What’s actually happening is that attackers are automating at scale which removes the human bottleneck on their side. Meanwhile most SOCs are still built around manual effort. The result is that security teams are falling behind on both detection and response.
What this means for you: If your defence isn’t accelerating, it’s already behind.
3. Not everything needs AI
There was a really clear message here – stop forcing AI into everything.
Some problems need speed and scale. That’s where AI fits. Some just need better process, better orchestration and clearer ownership. The challenge is knowing the difference and prioritising based on risk, not hype.
What this means for you: Use AI where it adds value, not where it adds noise.
4. Deep observability is becoming the foundation
This was a big one.
We’re moving beyond basic visibility. Deep observability – combining network and application metadata – is becoming the layer that everything else depends on.
It’s the difference between:
- Seeing something happen
- Understanding why it’s happening
- Knowing what to do next
That context is what speeds everything up.
What this means for you: Visibility = control. Without it, you’re guessing – and that’s where risk creeps in.
5. AI is already part of the threat landscape
AI isn’t theoretical anymore – attackers are already using it in the real world. That means attacks are faster, more scalable, and harder to spot.
Most SOCs are still built around human response which is not scaling at the same rate.
A purely human-led SOC can’t keep up with that. This is where embedded AI and automation start to matter – not as a replacement for people, but as a way to remove the bottlenecks.
What this means for you: AI in the SOC isn’t optional anymore.
6. Visibility is still the biggest gap
Despite everything else, this is still the issue that keeps coming up.
Most organisations don’t have a clear, joined-up view of their environment. Data sits in different places, tools don’t talk to each other and context gets lost. So even when threats are detected, understanding what matters – and what to do next – takes too long.
What this means for you: Without visibility, everything else slows down.
7. AI needs managing – not just deploying
One of the more practical points – AI isn’t “set and forget”. Mark Jow nailed it when comparing AI to an infant. It needs feeding, training and checking regularly.
If the data changes, or degrades, the outputs do too. Left unmanaged, it doesn’t just stand still – it can go backwards.
What this means for you: AI needs managing like any other critical system.
8. Regulation is raising the bar
Regulation is only going one way.
Alongside NIS2 and DORA, the upcoming UK Cyber Security and Resilience Bill is going to push more organisations into scope and increase accountability at leadership level.
This isn’t just about compliance anymore. It’s about resilience.
- Better visibility
- Stronger reporting
- Faster response
This is where clarity really matters – understanding what’s required, what good looks like and how to get there without adding more complexity.
9. Cutting through the noise
Most organisations don’t have a technology problem – they have a clarity problem.
Too many tools. Too many opinions. Too much noise around what “good” looks like.
This is where we’re seeing the biggest value right now – helping customers cut through that, focus on the right use cases and make decisions based on what actually reduces risk.
Insight from reports like the Gigamon Hybrid Cloud Security Survey 2026 can help anchor that.
What this means for you: Clarity drives better decisions than more technology.
10. What’s overhyped vs underrated
Overhyped:
- Fully autonomous SOCs
- “One big data lake fixes everything” thinking
- Forcing AI into every problem
Underrated:
- Strong, defined use cases
- Getting data integration right
- Zero Trust – especially the policy decision layer
If there was one theme running through everything, it’s this:
Security teams aren’t shrinking – but what they’re responsible for is growing fast.
More users. More devices. More cloud. More threats. More regulation. But the same teams and the same pressure on budget. So “doing more with less” isn’t about cutting back. It’s about working smarter:
- Better visibility
- Cleaner data
- Smarter use of AI
- Simpler, more joined-up environments
This is also where we’re seeing the most demand – not for more tools, but for clarity and control across what organisations already have.
That’s exactly where we focus at Vizst – cutting through complexity, improving visibility, and helping teams get control back.