TufinAI Redefines Network Security With AI-Powered Automation

As enterprise networks expand and grow more complex, the traditional methods of managing security policies are being pushed to their limits. In response, Tufin has unveiled TufinAI, a new AI-powered engine designed to modernize and simplify network security operations across hybrid, cloud, and multi-vendor environments.

With networks spanning firewalls, SASE solutions, and public cloud environments, they often result in disconnected systems and manual workflows. TufinAI addresses these challenges with an intelligent framework that leverages large-language models (LLMs), machine learning, and Retrieval-Augmented Generation (RAG) to automate and optimize policy management across these environments. The goal is to reduce risk, minimize manual effort, and enable teams to respond to security demands with greater accuracy and speed.

TufinAI introduces new capabilities including network segmentation that visualizes and enforces secure boundaries, policy optimization through continuous AI analysis, anomaly detection to surface emerging threats faster, and natural language support for users to interact with the system in conversational terms. These features reduce friction in security operations while enhancing visibility and control across the enterprise.

Building on the TufinAI foundation, the company also launched TufinMate, a suite of role-specific AI assistants designed to streamline collaboration between security, IT, and SOC teams. These assistants offer guided self-service capabilities—helping users resolve access issues, evaluate network changes, and respond to incidents more quickly. For example, TufinMate for IT integrates with Microsoft Teams to allow non-security personnel to troubleshoot and manage connectivity requests; and TufinMate for SOC teams works with Microsoft Copilot for Security for real-time threat context and accelerated incident resolution.