
The deceptive allure of self-correcting algorithms has led many modern enterprises into a false sense of security, where the gap between marketed capabilities and actual defensive resilience is wider than ever before. As cybersecurity shifts from deterministic, rule-based logic to probabilistic, context-aware AI models, the traditional methods of vetting software are proving dangerously inadequate for protecting enterprise infrastructure. This transition










