Netskope is rolling out Netskope One AgentSkope, a framework designed to deploy and manage AI agents that can automate tasks across security and networking workflows.

AgentSkope acts as a control layer for deploying AI agents across the Netskope platform. It standardizes security, privacy, and governance controls while allowing organizations to build and run agents that execute end-to-end workflows. The goal is to reduce manual effort tied to repetitive tasks like policy creation, troubleshooting, and risk analysis.

According to Netskope, about 40% of alerts go are not investigated due to capacity constraints.

The initial AgentSkope release includes six agents focused on common operational pain points.

A DLP AISecOps Agent automates data loss prevention workflows by triaging alerts, conducting investigations, and recommending remediation. Netskope said one beta user is applying the agent to “millions of alerts” and narrowing them down to a small number of actionable cases.

Other agents expand into adjacent areas, including an Insider Threat AISecOps Agent, which analyzes user behavior alongside DLP alerts to identify potential internal risks; a Private Access AIOps Agent audits configurations and adjusts access policies; two Digital Experience Management (DEM) agents focus on troubleshooting and performance monitoring; and a Cloud Confidence Index (CCI) Insights Agent allows analysts to query application risk and compliance data using natural language.

All of the agents are integrated into the Netskope One platform and are designed to be managed through a single interface. That avoids the need for separate tools or workflows, which the company says has contributed to operational complexity in the past.

Netskope cited a Gartner projection that cybersecurity AI agents will autonomously manage 25% of incident response workflows for data security events by 2028. “enhancing data risk mitigation speed and effectiveness.”

“By abstracting away operational complexity and removing internal development bottlenecks, we are empowering security and network leaders to drastically reduce manual troubleshooting, free up their skilled staff for strategic initiatives, and adapt their defenses at the speed of business,” Netskope CEO Sanjay Beri noted.

The broader push reflects a shift toward agentic AI in security operations. Rather than just surfacing insights, these systems are designed to automate workflows that have traditionally required human analysts.

Arctic Wolf, Cisco, and Huawei are among the companies that have also announced agentic AI security tools this year.