The telecommunications industry is facing a critical security debate, but the argument that proprietary software is inherently safer than open source is outdated in the AI era. AI has fundamentally altered vulnerability discovery, allowing attackers to extract behavioral intelligence from compiled binaries, APIs, and runtime behavior without needing access to source code. Telco networks of the future will be hybrid, combining proprietary, commercial, and open source technologies on a shared Linux foundation. Red Hat advocates treating security as an engineering discipline, applying AI-driven analysis uniformly across your entire architecture to accelerate the detect-understand-remediate cycle

• Move beyond "security by obscurity," as AI large language models (LLMs) can now autonomously discover exploitable vulnerabilities without source code access.
• Close your exposure window by aggressively reducing your mean time to detect (MTTD), understand (MTTU), and remediate (MTTR).
• Eliminate security blind spots at integration boundaries by deploying a unified AI-assisted analytical framework across both open and proprietary software.
• Harden your underlying Linux foundation to build security directly into the operating layer, automating validation and accelerating patch readiness.
• Achieve long-term cyber resilience through speed, automation, and a secure platform foundation rather than relying on code opacity.