Three processes slowing down network security in 2026

Network security has advanced with improved visibility, threat detection, and widespread AI adoption, yet operational challenges persist, particularly in the execution of processes after detection. Despite significant investment in tools and automation, network security teams continue to face issues such as slow response times and analyst burnout due to the complexity of hybrid, multi-system environments and the growing ecosystem of vendors and integrations that expand the attack surface. The rise in AI-enabled threats and identity-based breaches further complicates the landscape, necessitating a shift in focus from merely adding tools to rethinking execution processes across systems. Intelligent workflows are proposed as a solution, enabling orchestration of multi-step processes across diverse environments by standardizing execution, reducing errors, and maintaining governance, thus allowing teams to respond more quickly and effectively without increasing headcount. This approach emphasizes the need for improved coordination and flow between tools to address the operational breakdowns that hinder effective security management in an increasingly complex and fast-paced threat environment.