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3 common AI for networking concerns and how to tackle them
Adopting AI for networking brings powerful benefits but also raises key concerns. The three most common are: (1) Trust in AI decisions—teams need transparency into how AI reaches conclusions; (2) Data privacy and security—AI systems must protect sensitive network data; and (3) Integration challenges—AI must work seamlessly with existing infrastructure. Addressing these issues with clear governance, robust security, and thoughtful planning helps organizations fully harness AI’s potential for smarter, more resilient network operations.