Netskope Unleashes AI Agents to Combat Security Operations Burnout

SANTA CLARA, Calif. – May 05, 2026 – In a move aimed squarely at the crisis of burnout and overload plaguing cybersecurity teams, Netskope today announced AgentSkope, an intelligent platform designed to automate security and network operations through the use of AI agents. The launch introduces a new architectural foundation within the company's flagship Netskope One platform, enabling autonomous agents to execute complex, end-to-end workflows that have traditionally consumed countless hours of manual human effort.

The announcement comes as security operations centers (SOCs) and network operations centers (NOCs) are buckling under the pressure of an ever-increasing volume of threats and alerts. Industry research highlights a stark reality: an estimated 40% of all security alerts go entirely uninvestigated due to a sheer lack of capacity. Netskope's AgentSkope aims to be the answer, acting as an autonomous force multiplier for beleaguered security and networking teams.

“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,” said Sanjay Beri, Co-Founder and CEO of Netskope. “That’s why we built AgentSkope to act as an autonomous force multiplier, providing a shared architectural foundation that allows organizations to easily deploy AI agents capable of executing end-to-end workflows.”

An Autonomous Assistant for Overwhelmed Analysts

The centerpiece of the initial launch is the Netskope DLP AISecOps Agent, which the company bills as a first-of-its-kind resource for agentic Data Loss Prevention (DLP) analysis. This agent is designed to mimic the investigative process of a senior security analyst. Instead of just flagging a potential data leak, the agent automatically performs triage, enriches the alert with contextual data about the user and application, investigates the potential impact, and recommends remediation actions.

The goal is to transform the signal-to-noise ratio for security teams. During a beta program, one large global professional services firm used the DLP agent to analyze millions of alerts. The agent autonomously converted this flood of data into a few dozen actionable cases that were automatically investigated in minutes, freeing up the human team to focus only on the most critical incidents requiring their expertise.

The initial rollout includes five other agents, each targeting a specific operational pain point:

• Insider Threat AISecOps Agent: Combines DLP alerts with user behavior data to identify and analyze potential insider threats.
• Private Access AIOps Agent: Audits network access configurations to remove dormant settings and ensure privileges are not overly permissive.
• DEM Data Intelligence & Insights Agents: Transform raw digital experience metrics into actionable insights for troubleshooting and identifying performance trends.
• CCI Insights Agent: Allows analysts to use natural language to query risk and compliance data across more than 85,000 cloud and AI applications.

Navigating a Crowded Field of Agentic AI

Netskope’s entry into agentic AI places it in an increasingly competitive but rapidly validating market. The concept of using AI to create an “autonomous SOC” is a major industry trend, with competitors like CrowdStrike and Palo Alto Networks also heavily investing in their own agentic security platforms. This broader movement is underpinned by analyst predictions, including a forecast from Gartner that by 2028, AI agents will autonomously manage a quarter of all incident response workflows for data security events.

Where Netskope aims to differentiate itself is through its deep integration with its existing cloud-native security platform and its specific focus on complex data security challenges. By building AgentSkope into its core architecture, the company can leverage the vast telemetry from its platform to provide richer context to its AI agents.

Customer buy-in underscores the pressing need for such solutions. Stuart Walters, Partner and CIO at BDO UK, commented on the challenges his data-rich organization faces. “We know the scale of the challenge is only going to grow as we encourage AI adoption—so too is the increased data movement that brings,” Walters stated. “Agentic operations that support our security and networking operations teams in handling their growing workflows will be very important for us moving forward.”

The Promise and Peril of Autonomous Guardians

While the promise of AI-driven automation is immense, the industry is also grappling with the profound implications of ceding more control to autonomous systems. The move toward agentic security represents a paradigm shift, one that comes with both significant opportunities and inherent risks.

On one hand, the benefits are clear: a dramatic reduction in manual labor, faster response times, and the ability for highly skilled—and expensive—human analysts to focus on strategic threat hunting and architectural improvements rather than chasing down low-level alerts. As IDC Research Manager Pete Finalle noted, “In the face of a rapidly expanding, AI fueled threat landscape, CIOs and CISOs must invest in agentic security automation, as a force multiplier to enhance skilled human resources.”

On the other hand, the deployment of autonomous agents in critical security functions introduces new challenges. These agents themselves expand the attack surface, potentially becoming targets for manipulation or compromise. Ensuring proper governance, maintaining human oversight, and building trust in the AI's decisions are paramount. Organizations must also confront the risk of “AI data debt,” where poor quality or insecure data fed to the models can lead to flawed or dangerous outcomes. The consensus among experts is that these systems must be designed with a “human-in-the-loop” philosophy, where AI provides autonomy without a complete loss of human control and governance.

Ultimately, platforms like AgentSkope are not just new products; they represent the front line of a fundamental transformation in how cybersecurity is practiced. Their success will depend as much on an organization's ability to adapt its culture and processes as it does on the sophistication of the technology itself. As enterprises navigate this new era, they must balance the urgent need for automation with the critical importance of thoughtful implementation and unwavering human oversight.