This blog shows how bringing LLM-powered automation into policy management helps security and networking teams build, audit, and optimize network policies more efficiently. It integrates into existing workflows, offering real-time access to current configurations and intelligent policy insights — all without requiring teams to switch tools.
Versa Secure SD-LAN is a LAN connectivity solution designed for a world of rapidly growing Enterprise, personal and IoT devices – and evolving security threats. Legacy LANs struggle to identify users or devices, segment traffic precisely, or track device movement. Versa’s approach solves this with built-in micro-segmentation, device-level visibility, and Zero Trust enforcement at every port. It unifies switching, routing, and security policy control into a centrally managed, software-defined platform—eliminating hardware lock-in and reducing operational overhead.
With the rise of AI, edge workloads, and sovereign cloud deployments, securing unmanaged endpoints is more critical than ever. Versa SASE-on-SIM extends Zero Trust to where it’s never gone before – directly into the SIM and the network itself.
Discover 10 actionable data protection strategies to secure sensitive enterprise data across hybrid, cloud, and edge environments
Today’s network and security teams are drowning in a patchwork of systems, each adding cost, management overhead, and risk. And worse yet, this tangled web of tools still can’t keep up with the threat vectors as cloud adoption and hybrid work accelerate. That’s why more organizations are shifting to a platform-based SASE approach to simplify operations, reduce costs, and significantly improve their security posture.
How to secure IoT and OT environments with Versa’s Next-Gen Firewall — offering Zero Trust access, device fingerprinting, micro-segmentation, and threat prevention.
Struggling with traditional LAN environments? Get better IoT visibility, Zero Trust security, easy scaling, and faster issue resolution with Versa Secure SD-LAN
The proliferation of AI and machine learning workloads has accelerated the generation and utilization of unstructured data—including emails, source code, collaboration files, logs, recordings, and internal documentation. Unlike structured data, which resides in databases, unstructured data spreads across cloud drives, SaaS applications, endpoints, and unmanaged collaboration tools.
As organizations increasingly embrace AI-powered coding tools to accelerate development and reduce engineering overhead, a new threat is emerging at the intersection of generative AI and open-source software (OSS): slopsquatting.
One of my favorite things about Versa technology has always been its programmability. Utilizing APIs, we can automate and orchestrate SASE services to simplify our lives as network or security engineers. With the unveiling last month of our new MCP server we elevate that programmability by integrating large language models (LLMs) like ChatGPT and Claude.
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