Singapore – Netskope has introduced Netskope One AgentSkope, a platform architecture designed to help organisations deploy AI agents that can manage end-to-end operational workflows for security and networking teams.
The new system functions as an additional intelligent layer within the Netskope One Platform, intended to automate routine operational tasks and allow employees to focus on broader strategic priorities. The launch comes as many security operations centres and network operations centres face growing workloads, with organisations reporting difficulties in handling the volume of alerts and investigations.
AgentSkope is designed to support faster creation and deployment of AI agents while applying common governance, risk, compliance, privacy and security controls across the platform. It also offers tools to monitor usage and maintain consistency between deployed agents.
“Security and network operations teams today are overwhelmed by an endless loop of manual triage, and bogged down by repetitive tasks across disparate tools, leading to severe analyst burnout, an inability to innovate at speed, and unchecked risk,” Sanjay Beri, Co-Founder and CEO of Netskope, commented.
“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 defences.”
The initial release of the platform includes six AI agents aimed at specific use cases. These include a data loss prevention analysis tool intended to automate data protection workflows, assess risks and prioritise incidents. Another focuses on insider threat detection by combining data loss prevention alerts with user behaviour analysis.
“Security and network operations teams shoulder an incredible burden as the embrace of AI exacerbates their never-ending list of tasks,” Pete Finalle, Research Manager, Security & Trust at IDC, shared.
“The ability to intelligently triage threats, help manage the increasing scope and scale of modern threats, and keep up with new AI models/agents can no longer remain a manual process.”
Further agents include a private access operations tool that reviews configurations and removes unused settings, as well as digital experience management tools designed to interpret technical performance data and identify user experience issues. A separate compliance and cloud application insights tool allows analysts to query risk and certification data across more than 85,000 cloud, SaaS and AI applications using natural language prompts.
Several agents are now generally available, including those for data loss prevention, private access, compliance insights and digital experience management. The insider threat-focused agent is currently in private preview.
