In today’s enterprise environments, security and networking teams may be siloed for a variety of reasons. Perhaps legacy organizational structures divided their responsibilities and expertise, or different priorities resulted in a lack of interdepartmental collaboration. The root cause might be technological, with teams using tools and platforms specifically tailored for their separate domains. Yet there’s now widespread agreement that the drawbacks of siloed security and networking operations far outweigh any historical advantages.
Siloed teams find it difficult, if not impossible, to adequately address today’s increasing security threats and heavier demands on network performance. Poor communication prevents effective collaboration. Mismatched policies lead to compliance failures. Fragmented visibility delays responses to threats.
Enterprises with siloed operations are faced with degraded network performance, inefficiency, high operational costs, and inability to scale at a time when modernization and digital transformation are critical to meet their customers’ fundamental needs. Unifying security and networking teams is clearly the solution, but what’s the best way to get there?
The AI-native approach
Artificial intelligence (AI) offers promise to quickly unify security and networking silos without disrupting enterprise operations. Specifically, adopting solutions with AI at their core, rather than attempting to layer AI over existing dysfunctional systems, enables the seamless integration necessary to achieve more efficient and scalable operations.
The AI-native approach combines holistic security threat management with improved network performance. The immediate benefits are greater resiliency, heightened efficiency, and reduced costs. Plus, enhanced security outcomes lead to impressive reputational dividends.
By unifying visibility over users, applications, and devices, the AI-native approach allows network and security teams to share insights, breaking down silos. Better teamwork accelerates security decision-making, enabling faster, more effective responses to threats, which in turn supports optimal network performance.
AI-powered automation amps up operational agility. The collection and analysis of data across domains enables real-time threat detection and improved accuracy. A single policy engine reduces configuration errors and improves management of access and compliance with regulations.
Juniper’s secure AI-native edge solution
Juniper offers a Secure AI-Native Edge solution that goes beyond the basics. It is the only solution that integrates networking and security in a unified portal with AI for IT Operations (AIOps), offering unparalleled agility and proactive threat management. Integration with network access control (NAC) operations enhances visibility and policy enforcement. By providing consistent, zero-trust security from the edge to the data center, Juniper Secure AI-Native Edge enables real-time threat detection and behavior analysis that results in reduced time to resolution.
What customers want
One of the main requirements for unifying enterprise security and networking operations is the ability to make a seamless transition from legacy systems with minimal disruption. Security and IT executives are seeking flexible, cost-effective solutions that protect their organization’s current investments. They want to ensure that security controls do not unnecessarily impact business performance or user experience.
Juniper Secure AI-Native Edge meets those needs by providing a secure infrastructure with exceptional visibility and operational agility. By reducing complexity, it lowers costs and improves efficiency overall. Organizations that embrace the AI-native approach to breaking down security and networking silos will enjoy improved agility, reduced risks, and substantial cost savings. AI-native unification is essential to ensure a future of secure, high-performance networking.
