Tufin has unveiled its Agentic Network Security strategy, marking a significant step toward redefining how enterprises manage network security in an AI-driven world. As organizations increasingly rely on artificial intelligence and automation, Tufin aims to position itself as the foundational control layer for governing connectivity risks across complex, hybrid environments. To support this vision, the company is launching a suite of AI-powered agents designed to handle critical network security tasks, allowing overstretched security teams to focus on higher-priority threats and strategic decision-making.

As enterprise infrastructures become more dynamic and decentralized, traditional security approaches are struggling to keep pace. Therefore, Tufin leverages its Network Connectivity Graph along with proven automation playbooks to deliver a reliable data and control layer. This foundation enables organizations to maintain visibility and enforce policies at scale, even as AI-driven processes accelerate operational changes across networks.

“There is only one solution that makes organizations confident in their network security posture in an agent-rich world – and that’s Tufin.”

In today’s rapidly evolving digital landscape, AI is deeply embedded across applications, infrastructure, and operations. Consequently, network environments are changing at machine speed, often with minimal human oversight. This shift introduces new challenges for security teams, particularly around controlling and validating connectivity essentially determining who or what can access specific resources. At the same time, threat actors are leveraging AI to launch more sophisticated attacks, including automated exposure discovery, lateral movement mapping, and exploitation of configuration drift. As a result, organizations face an exponentially expanding attack surface.

Because of these challenges, legacy security workflows are becoming obsolete. Manual processes, such as submitting change requests and conducting lengthy security reviews, cannot scale in environments where AI agents continuously initiate and execute changes. Instead, organizations now require continuous, real-time validation of their security posture to remain resilient.

To address this need, Tufin is introducing four purpose-built AI agents that automate essential network security functions while operating under human-defined policies. First, the Compliance Agent continuously monitors network segmentation and access controls, immediately identifying violations and triggering remediation actions. Next, the Network Security Posture Agent analyzes vulnerabilities based on real connectivity exposure and attack paths, helping teams prioritize critical risks. Additionally, the Application Deployment Agent ensures that application connectivity requirements align with security policies, enabling compliant deployment. Finally, the Policy Recertification Agent maps access rules to owners, streamlines approval processes, and eliminates unnecessary permissions.

Together, these agents operate on Tufin’s Dynamic Network Connectivity Graph, which serves as a comprehensive “digital twin” of multi-vendor network environments. This approach provides unmatched visibility and accuracy, enabling organizations to govern autonomous changes effectively.

In addition to these agents, Tufin is expanding its broader TufinAI ecosystem. The company showcased several capabilities, including Segmentation Intelligence for aligning security posture with intent, a Model Context Protocol (MCP) server, TufinMate chatbot, AI-powered executive dashboards, and natural-language assistants. These tools collectively help security teams transition from manual investigations to faster, data-driven decision-making.

“As AI accelerates change across enterprise infrastructure, networks are changing at a pace that makes manual security virtually impossible,” said Raymond Brancato, CEO of Tufin. “Security teams need a precise, trusted understanding of enterprise connectivity, with continuous insights into exposure, proof of segmentation, and validation that the network remains aligned with policy and security intent. There is only one solution that makes organizations confident in their network security posture in an agent-rich world – and that’s Tufin.”

Meanwhile, industry data highlights a growing imbalance between attackers and defenders. While a significant percentage of organizations have experienced AI-enabled attacks, only a small fraction are actively using AI for defense. Therefore, as cybercriminals continue to adopt advanced technologies, the gap between attack sophistication and defensive capabilities is widening rapidly.

Looking ahead, Tufin’s Agentic Network Security strategy addresses this imbalance by providing organizations with the tools to manage connectivity risks proactively. By combining AI-driven automation with trusted data insights, Tufin enables enterprises to govern complex networks, adapt to continuous change, and strengthen their overall security posture in an increasingly autonomous digital environment.

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