Netskope has launched Netskope One AgentSkope, a new AI agent foundation inside the Netskope One Platform. The company says the goal is to help security and network teams automate more of the daily work that slows them down, including alert triage, investigations, policy support, configuration checks, troubleshooting, and risk queries.
The timing is notable because agentic AI is quickly moving into MSP and security operations. Last week at Kaseya Connect Global, Kaseya introduced a platform to help MSPs automate more IT, security, and cyber resilience work. Netskope is now addressing similar operational pressures from the security and networking side, where teams need fewer manual handoffs, faster investigations, and cleaner workflows as AI adoption increases data movement and alert noise.
The launch comes as SOC and NOC teams are dealing with too many alerts, stretched staffing, and more data moving across cloud, SaaS, private apps, and AI tools. AgentSkope is meant to act as a shared layer for AI agents across the Netskope platform, so teams can use agents for specific workflows instead of relying only on manual review.
Rich Davis, Director, Product and Solutions Marketing at Netskope, said the main difference between AgentSkope and the automation already used in SOAR, DLP, or AIOps tools is the level of context the agents can bring to the work. He told MSSP Alert,
“The level of automation certainly varies across tools and platforms, creating vastly different experiences for security teams. At Netskope, AI has been embedded across the Netskope One platform and core capabilities for years - long before this vast global marketplace of AI models were available to enterprises. Automation has largely focused on streamlining a small set of tasks. AgentSkope is that, plus an intense level of critical thinking that learns an organization’s unique business requirements, situations and context at scale to solve problems and find answers. It’s very much why AgentSkope’s AI agents can now serve as a trusted member and extension of a security team. Even for organizations with extensive SIEM and SOAR tools, using dedicated agents to triage and investigate incidents means that only the data needed is ingested into SIEM / SOAR platforms. This helps reduce ingestion costs and streamline workflows within SIEM/SOAR tools.”
What Netskope Is Launching
The first AgentSkope release includes six agents. Netskope’s DLP AISecOps Agent analyzes data loss prevention alerts, investigates cases and supports remediation workflows. The Insider Threat AISecOps Agent, now in private preview, combines DLP alerts with user behavior data to help identify possible insider activity.
Other agents focus on private access configuration checks, digital experience troubleshooting, digital health insights, and natural-language queries across risk and compliance data for more than 85,000 cloud, AI, and SaaS applications.
For DLP and insider threat triage, Davis said the agents can do the investigation work, but human analysts still control the final response.
“Agents can be configured to act by themselves to decide which of the risks/cases need investigating, and to then go and collect the needed information to complete the investigation. The agents can also create ITSM tickets or reach out to the user under an investigation’s manager seeking justifications. Once the investigation is complete - the agent will wait for the human to review its verdict/findings and direct it to take supported actions (which would vary between the risks). This provides the balance between an agent being able to save the analyst team’s time (by investigating the risks) and still leaves the controls around response to human analysts.”
MSSPs/MSPs focus should be on customer outcomes
For partners and MSPs, AgentSkope could become part of a managed service around DLP, insider threat, access management, troubleshooting, and risk review. Many customers do not have large internal teams. They need help cutting noise, reviewing cases, and keeping policies clean without adding more tools for their staff to manage.
Davis said Netskope expects partners and MSPs to use the agents to add capacity around their existing services.
“We are confident that the agents will be able to help a lot of our partners and MSPs leverage agent capabilities to augment their existing, strong service offerings that supplement the Netskope platform. The agents will help take out false positives, duplicates at a large scale, and then do the automated investigations to help MSPs focus on the outcomes of the investigations, which will help them serve their customers - with small and large internal teams.”
That is the clearest channel angle here. MSPs and MSSPs are under pressure to deliver faster investigations and better reporting without adding more analyst workload. If AgentSkope can remove duplicate work and surface cleaner cases, partners can spend more time on customer outcomes instead of sorting through alert noise.
What Makes Netskope’s Approach Different
Many security vendors are adding AI agents to their platforms. Netskope is tying AgentSkope to the same platform it already uses for data security, cloud security, and network operations. The company is also positioning the agents as part of its wider AI security work, not as a separate add-on.
Davis said that matters as customers look for AI agents they can trust inside critical security workflows.
“As the added intelligent layer to the same platform Netskope has used for years, AgentSkope comes on the heels of announcing our Netskope One AI Security capabilities, designed to deliver protection across an organization’s entire AI ecosystem. Netskope is consistently building upon its platform to support advanced new use cases that help organizations as their AI deployments grow and evolve to support emerging business needs.
Today, similar to the security platforms that already operate in their environment, organizations are looking for a group of AI agents they can trust to serve as extensions of their critical team. At Netskope, we’ve built a reputation for ensuring that wherever data travels, security travels with it, and these agents were built with the same intention. While developing AgentSkope, we leveraged years of data security learnings to ensure our agents were built to properly support organizations.”
That is the real test for AgentSkope. Customers and partners will want proof that it can cut false positives, speed up investigations, improve policy hygiene and reduce manual work for SOC and NOC teams. That is what will matter more than the AI agent label.
