AI Security doesn’t have to come at the expense of innovation. Learn how to reduce AI risk, improve visibility and establish safe, responsible AI governance.
Discover why AI governance is no longer just an IT issue, the risks of unmanaged AI adoption, and how organisations can enable AI safely with clear policies, visibility and control.
Ask ten business leaders what their AI governance strategy is and you’ll probably get ten very different answers. Find out where your organisation sits.
We often talk about “the cloud” as if business data simply disappears into the internet. In reality, cloud services depend on very physical foundations. At the heart of Advantage Cloud is our data centre.
When users complain that systems are slow, the immediate response is often to question the internet connection. But increasingly, organisations are discovering that the real bottleneck sits much closer to home – the firewall.
If you follow cybersecurity news, you may have seen increasing references to “Mythos”. This is the latest in a growing line of advanced AI models, and like most new technologies in this space, it’s surrounded by a fair amount of hype.
When to use Wi-Fi 7 and when to use Private 5G? A networking conundrum that’s becoming more common. For a long time, wireless decisions were relatively simple. But that model is changing.
There are few IT tasks less glamorous than patching and software updates. This really is the IT task that’s easy to postpone. But unfortunately, cybercriminals and software failures don’t care about competing priorities.
Shadow AI, the use of AI tools without formal oversight, is driven by people trying to work faster, and make use of tools that are embedded in the applications they already use. But without visibility, it creates risk.
Deepfakes are rapidly becoming a major cybersecurity risk. Learn what they are, how they work, and how to protect your business and people from AI-driven fraud.
