For many, SASE is the answer and the logical next step given today’s shifts. It solves these challenges because it converges a wide web of network and security functions into a single cloud-based service that is also identity focused. But what lies beyond SASE? Does it reach far enough? To find an answer, we have to understand what’s inside the SASE toolbox today and what might be added in the years to come.
Today, Gartner defines SASE as having these five core capabilities: SD-WAN, Secure Web Gateway (SWG), Cloud Access Security Broker (CASB), Zero Trust Network Access (ZTNA) and Firewall as a Service (FWaaS). And these certainly meet the immediate needs of multi-cloud businesses–even the pandemic-related ones:
But, is that everything companies need today? How can SASE address more business needs of today and tomorrow? When it comes to the future of SASE, here are some of the responses Masergy is hearing.
Critics say SASE doesn’t go far enough with security technologies and services. Here’s how they see SASE expanding in the future.
Critics give SASE credit for incrementally improving the WAN but say it falls short when it comes to an emphasis on AI and AI-powered automation. Claims state that today’s SASE is innovating on the more predictable and existing tools of today like Zero Trust and CASB. In order to be more forward-leaning it should incorporate AI.
That suggestion makes sense for two reasons. AI and SASE share the same goal: reducing the complexity of today’s distributed, hybrid-cloud IT environment. They are both tools for cloud applications, at-home devices, IoT systems, and edge computing. Thus, AI feels as though it’s a complementary next step. When IT teams don’t have to worry about network performance, firewall alerts, and keeping the network and security aligned, they will have the time they need to turn to transformative efforts like AI-based automation.
When AI is added to SASE’s web, autonomous networks become possible. AI and SD-WAN are the perfect pair. SD-WAN’s centralized console gives AI direct access to the data streams it needs to automatically evaluate network performance and make intelligent suggestions on how to improve it. Furthermore, SD-WAN’s centralized orchestrator is the unified control panel where AI can be given permission to act on it’s own recommendations, making configuration changes to optimize performance. This ZK Research report explains more about how AI and SASE are laying the foundation for autonomous networks.
SASE has only just arrived. It’s safe to say that it has room to grow, and it will be a fun ride to see how it changes over time and where it will go next.
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