ML vs Rules: Why Traditional Telecom Security Can’t Scale TL;TR Telecom security is no longer failing because teams lack expertise or tools. It is failing because the operational model behind rule-based defense cannot keep pace with the speed, scale, and ambiguity of modern telecom networks. Rules were designed for predictability. Today’s threats thrive on subtlety and change. Machine learning
Beyond DDoS: The External Network Threats Telecoms Must Detect in 2026 TL;TR Telecom security has outgrown DDoS-only defenses. The real risk in 2026 comes from external network threats that hide inside normal traffic, exploit infrastructure quietly, and persist for long periods. These threats bypass rule-based tools and payload inspection. Telecoms need ML-driven, behavior-based visibility and a
The $50M Breach Nobody Hacked: How Trusted Vendors Are Becoming the Fastest Way Into Your Enterprise The most damaging breaches today do not break defenses. They bypass them. Across boardrooms and security leadership meetings, the same uncomfortable question is surfacing after major incidents: How did this happen when our controls were working? In many recent enterprise breaches, the answer is
Why Cyber Resilience Fails at the Moment of Decision, Not the Moment of Attack Most cyber failures do not begin with a sophisticated attack. They begin much later. They begin in a meeting room, on a conference call, or in an inbox where a message sits unanswered for longer than it should. They begin when information is