Network security teams are managing complex environments that include not only on-premises infrastructure, but also cloud platforms and multiple security tools. And as networks grow, so does the number of policies, rule changes, and compliance checks. That complexity can slow investigations and make it harder for teams to understand where risk is building.
Tufin has introduced a set of AI assistants and a new executive dashboard to help security teams analyze network policies and manage security posture across hybrid environments. The new capabilities are built into the company’s Unified Control Plane, allowing teams to search policies, analyze risks, and initiate changes using natural-language queries.
AI Assistants for Network Security Operations
The update introduces four AI assistants that focus on common operational tasks: rule searches, device discovery, compliance exception analysis, and access requests.
The rule search assistant helps teams locate and understand security rules quickly. The device search assistant allows analysts to identify devices and their policy context across the network. Another assistant focuses on compliance exceptions, helping teams review policy deviations and understand potential risk. The access request assistant allows users to request network changes through natural-language prompts while automating approval workflows.
These tools are intended to reduce the time analysts spend searching policies or tracing connectivity paths across multiple systems.
“For MSSPs, scale is fundamentally an economic challenge. You’re managing dozens – sometimes hundreds – of heterogeneous environments, each with different architectures and policy models. Growth typically means adding analysts, which increases cost and compresses margins,” Erez Tadmor, Field CTO at Tufin, told MSSP Alert.
He said the assistants change how analysts interact with complex environments.
“The AI Assistants transform how engineers interact with complex environments. Instead of manually tracing connectivity across firewalls, cloud controls, and segmentation platforms, analysts can use natural language to understand exposure, policy intent, or change impact. Investigation cycles shrink, routine questions are resolved faster, and the expertise threshold required to operate hybrid environments decreases,” Tadmor said.
According to Tadmor, this can help service providers improve analyst productivity.
“Senior engineers spend less time on repetitive analysis, while junior analysts become productive more quickly. The result is improved analyst utilization without increasing headcount.”
A Different Layer of Network Security Operations
Many MSSPs already use firewall management tools, SIEM platforms, and automation tools to manage alerts and device configurations. Tufin’s approach focuses on the broader network security control plane.
“Most existing or home-grown MSSP tools are device-centric or alert-centric. They help manage configurations or process security events,” Tadmor said. “Tufin operates at a different layer: the network security control plane. We model end-to-end connectivity, policy intent, and enforcement behavior across hybrid environments – on-prem, cloud, and edge networks.”
This visibility can help MSSPs understand how policies interact across different systems and identify potential exposure.
“TufinAI reduces the manual correlation work typically required to answer questions like: ‘Why can this workload reach that database?’, ‘where do we have segmentation drift?’, and ‘what changed that introduced exposure?’” Tadmor said. “Instead of stitching together exports from multiple systems, MSSPs can interrogate the environment directly and receive contextualized answers.”
AI Dashboard for Security Visibility
Tufin also introduced the TufinAI Executive Dashboard, which allows security teams to create customized views of their network security posture using natural-language prompts. The dashboard can be used to track metrics such as policy risk levels, exposure trends, compliance status, and operational activity across hybrid environments.
“The TufinAI Executive Dashboard helps MSSPs translate deep technical data into customer-relevant insight,” Tadmor said. “Using natural language, they can quickly build customized views aligned to what each customer cares about – whether that’s segmentation health, exposure trends, or operational hygiene.”
This visibility can help service providers show how security posture is improving over time. “By showing measurable progress, customers’ QBRs become more outcome-driven, and conversations become more strategic,” Tadmor said.
Why It Matters for MSSPs
Network security operations often involve reviewing thousands of policies across multiple systems and environments. Investigating connectivity paths, managing policy exceptions, and preparing reports can take significant time when handled manually. AI assistants and customizable dashboards can help reduce that effort by making it easier to search policy data, understand connectivity, and generate insights about risk.
For MSSPs managing multiple customer environments, these tools can also support more scalable operations. Faster investigations, clearer reporting, and better visibility into network posture can help providers deliver services more efficiently while showing customers measurable security improvements.
