Netskope has announced the launch of an AI-driven platform layer designed to ease the operational burden on security and network operations teams. The new offering, called Netskope One AgentSkope, is an agentic AI framework that automates workflows within the company’s SASE platform. As enterprises grapple with ever-increasing alert volumes and infrastructure complexity, this tool aims to act as a force multiplier for overburdened staff.

Addressing the Alert Overload Challenge

Security operations centers and network operations centers are under constant pressure. According to Netskope, 40% of alerts go uninvestigated due to resource constraints. This gap creates significant risk, as critical threats may be missed. AgentSkope is built to address this by automating tasks such as alert triage, investigation, and policy management. The platform embeds AI agents directly into Netskope One’s data layer, allowing them to analyze and act on information without exporting data to external systems. This design reduces the need to move large volumes of data to other tools, cutting down on SIEM ingestion costs and operational overhead.

What Is Agentic AI in Security?

Agentic AI refers to autonomous software agents that can perceive their environment, make decisions, and execute multi-step workflows. In the context of cybersecurity, these agents can handle repetitive tasks like triaging low-priority alerts, correlating user behavior, and generating remediation recommendations. Human analysts remain in the loop for final decision-making, ensuring that critical actions are approved by skilled staff. This approach is increasingly important as the threat landscape expands with AI-fueled attacks. Industry analysts note that investing in agentic security automation is essential for modern CIOs and CISOs to keep pace with evolving risks.

Six AI Agents for SOC and NOC

With this release, Netskope is launching six dedicated agents, each focused on a specific domain:

• DLP AISecOps Agent: Automates DLP alert triage, reducing false positives and surfacing priority cases.
• Insider Threat AISecOps Agent: Correlates user behavior and DLP data to identify insider risks.
• Private Access AIOps Agent: Audits access settings and generates policies based on usage patterns.
• DEM Data Intelligence Agent: Converts telemetry data into actionable troubleshooting insights.
• DEM Insights Agent: Highlights performance issues and trends across digital environments.
• CCI Insights Agent: Enables natural language queries of cloud and SaaS risk data.

The DLP AISecOps Agent, for example, helps security teams quickly separate genuine data loss incidents from false alarms. The Insider Threat Agent correlates user behavior analytics with DLP events to spot anomalous activities that could indicate malicious insiders or compromised accounts. For network operations, the Private Access AIOps Agent audits Zero Trust access policies and suggests optimizations based on real usage patterns. The DEM agents focus on digital experience monitoring, turning telemetry from endpoints and networks into actionable insights for troubleshooting. Finally, the CCI Insights Agent allows users to query cloud configuration risks using natural language, making it easier to identify misconfigurations across SaaS applications.

Integration and Human Oversight

AgentSkope is fully integrated into Netskope’s SASE platform, meaning customers can configure all agents through a single interface without needing additional integrations. The agents run directly on the data layer, minimizing data movement and latency. However, Netskope emphasizes that human oversight remains critical. Agents can autonomously gather data, triage risks, and initiate workflows such as creating IT service tickets or notifying analysts, but they will not take final action without approval. This balance between automation and control ensures that security teams maintain governance over critical decisions while benefiting from efficiency gains.

Background: The Rise of SASE and AI Automation

Secure Access Service Edge (SASE) converges networking and security functions into a cloud-delivered service. Netskope is a key player in this space, competing with vendors like Zscaler, Palo Alto Networks, and Cisco. The addition of AI agents represents a natural evolution of SASE platforms, as organizations seek to unify their security and network operations under a single pane of glass. The concept of agentic AI in cybersecurity has been gaining momentum, with other vendors also introducing similar capabilities. However, Netskope’s approach of embedding agents directly into the data layer differentiates it from solutions that require data to be exported to external AI engines.

Market Impact and Future Plans

Netskope reports that AgentSkope and five of the six agents are now generally available, with the Insider Threat AISecOps Agent currently in private preview. The company says it plans to expand its agent portfolio on a monthly basis, adding new capabilities to address emerging threats and operational needs. This rapid release cycle reflects the fast-moving nature of the AI security market. As more enterprises adopt SASE and look to reduce manual workloads, the demand for autonomous agents is expected to grow. IDC research indicates that by 2027, 40% of security operations tasks will be automated, making tools like AgentSkope essential for modern IT organizations.

In a landscape where talent shortages persist, AI agents can help bridge the gap by handling routine tasks, freeing up senior analysts to focus on strategic initiatives. Netskope’s announcement underscores a broader industry trend: the shift from reactive to proactive security and network management, powered by intelligent automation. As the threat landscape evolves, the ability to rapidly adapt defenses will depend on platforms that can integrate AI seamlessly into existing workflows.

Source: Network World News