Cybersecurity today is more than an IT issue — it’s a core business risk affecting revenue, operations, reputation, and competitiveness. Yet most organizations still rely on subjective approaches, using gut instinct or limited data, often missing threats hidden in data silos, shadow IT, outdated software, or supply chain vulnerabilities.
Is moving past intuition too disruptive? Not at all. Even with legacy systems and data silos, the shift to objective, data-driven risk management is achievable. According to a recent Ivanti survey of 2,400 cybersecurity professionals, common blockers — such as limited visibility and persistent end-of-life (EOL) software — are widespread but not insurmountable:
- 55% face data silos.
- 45% struggle to detect shadow IT.
- 43% can’t spot supply chain vulnerabilities.
- 48% rely on EOL software, especially in healthcare.
The good news: Organizations don’t need a massive overhaul. With structured frameworks, AI-powered analytics, and stepwise guidance, even incremental changes deliver real value. Moving to objective evaluation brings faster decisions, clearer priorities, and measurable resilience — without unnecessary…
