As organizations plan for 2026, cybersecurity predictions are everywhere. Yet many strategies are still shaped by headlines and speculation rather than evidence. The real challenge isn’t a lack of forecasts—it’s identifying which predictions reflect real, emerging risks and which can safely be ignored. An upcoming webinar hosted by Bitdefender aims to cut through the noise with a data-driven
In cybersecurity, the article suggests AI solutions must be grounded in data-backed predictions to effectively mitigate genuine threats, thereby justifying investments in AI and ML within the cybersecurity landscape by ensuring their practical use in improving defenses against real-world risks.
Businesses need to critically evaluate AI-powered cybersecurity tools based on their ability to address real, data-validated threats. Over-reliance on hyped solutions could divert resources from more effective security measures and increase vulnerability to actual attacks. Implementation should focus on tools that provide measurable risk reduction.