For years, artificial intelligence in cybersecurity was primarily seen as a tool. It helped analysts process logs faster, identify suspicious patterns, and automate repetitive tasks
At first, it feels like progress. A new tool is introduced, another layer is added, one more platform is integrated into the environment. The logic
On paper, the numbers are clear. Significant budgets are allocated to cybersecurity, leading platforms are implemented, well-known vendors are selected, and security architectures are continuously
It doesn’t start with an attack. It starts with a condition. A condition that builds slowly over time, across months, often years. More systems, more
On paper, everything makes sense. Clean architecture, defined processes, established tools, well-documented use cases, clear ownership. The strategy looks structured, mature, and convincing. Frameworks are
It starts the same way in almost every organization. Not with a breach, not with a visible failure, but with a decision. A new tool
It rarely starts with a bang. No loud alarm, no obvious breach notification. Instead, it begins with something that looks almost harmless – a phishing
It’s one of the most uncomfortable thoughts for any Head of IT or CISO: your security setup looks strong, complete, and compliant on paper—yet fails
The security industry has spent the last few years talking about AI, automation, and the future of the SOC. Most of it sounded like incremental
The acquisition of VMware by Broadcom is one of the most significant developments in the global IT infrastructure market in recent years. The deal was
