Overview
Identify the most dangerous threats and contain them fast
Agentic SecOps Core shifts your SOC from alert processing to decisive action. It unifies alerts across your stack, enriches every threat with business context, prioritizes risk based on impact, and guides right-sized containment, so teams can stop the incidents that pose the greatest risk to the business.
Experience Agentic SecOps Core
Explore the interactive demo to see how you can transform your SOC to focus on threats, not alerts
The Problem
Today’s painful reality: Drowning in alerts while real threats slip through
SOC teams are overwhelmed by thousands of daily alerts spread across dozens of tools. Duplicate signals and fragmented dashboards make it difficult to connect related activity into a clear threat story. With limited context, analysts waste time sorting noise instead of focusing on what matters most. The result is slower investigations, missed high-impact incidents, and costly disruption that can damage customer trust and brand reputation.
Inefficiency and alert overload keep security teams reactive instead of resilient. It is time for a new approach.
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Product Overview
Cut through alert noise, find the biggest threats, and respond with precision
Agentic SecOps Core unifies alerts across your security stack into actionable, prioritized threat stories. Each incident is automatically enriched with business-relevant context such as asset criticality, user identity, and exposure so analysts can quickly separate signal from noise. With agentic guidance, orchestrated workflows, and inline containment actions, SOC teams can investigate, contain, and remediate incidents in one place, improving efficiency while strengthening security posture.

Benefits
Cut through alert noise and take action
Leverage untapped zero trust signals
Uncover attacks earlier by incorporating zero trust telemetry and context into threat analysis and investigations.
Unify all your alerts to see the bigger picture
Get all your Zscaler alerts in one UI, and aggregate them and related context from third-party systems into unified threats.
Focus on the most important threats
Prioritize the threats with the greatest potential impact using AI-driven insights, industry best practices, and your business logic.
Include posture insights as critical context
Factor device, user, and app posture into investigations so teams understand exposure and risk conditions driving each threat.
Take faster, right-sized action with confidence
Use agentic triage and response recommendations to take the most appropriate action with minimal business disruption.
Cut SIEM costs while improving outcomes
Enrich alerts with Zscaler insights drawn from network, endpoint, identity, and cloud telemetry and then forward only the distilled output to your SIEM as needed.
Product Details
Unify alerts to reveal the complete threat story
Move beyond alert overload and into clarity. Agentic SecOps Core unifies alerts from across your security stack, including Zscaler and third-party tools, to deliver a connected view of risk. See dynamic threat stories emerge as signals are intelligently grouped using AI and rules aligned to your business.

Bring together alerts from across security tools to see how they connect and reveal the bigger picture
Unify data from disparate tools using robust connectors, entity mapping, and our context graph
Use AI to surface hidden relationships across alerts and entities in your environment
Tailor grouping logic to match your risk perspective and organizational needs
Feed your SIEM with unified threat insights that add context and reduce noise
Enrich every threat with business context
Agentic SecOps Core automatically enriches every alert with layered context, including asset, identity, and exposure data, plus decoy activity and predicted breach patterns. Analysts quickly understand what is at stake and can make better decisions even when risk is complex.

Automatically enrich each threat story with asset and identity context to understand scope and impact
Add network traffic, connections, and behavioral context to clarify attacker activity and movement
Incorporate critical vulnerabilities and remediation status tied to the threat to better quantify risk
Apply AI-driven insights to estimate breach likelihood and highlight relevant historical attack patterns
Include decoy-driven signals to reveal attacker targets, tactics, and intent
Use your business-specific context such as high-profile users, critical apps, or custom attributes to elevate what matters most
Investigate threats in minutes
Agentic SecOps Core speeds investigations with an AI-generated incident summary, a unified view of Zscaler alerts, and visual attack-path context. That means that analysts can stop swiveling between tools and move from alert to understanding fast.

Get an AI-generated incident overview that clarifies the full attack flow and business impact
Investigate alerts across ZIA, ZDX, DLP, Deception, MDR, and more in one unified view
Bring key details together fast with quick access to logs, evidence, and timelines in one place
Trace adversary activity across each stage, from initial access through lateral movement to impact
Use a visual map of related alerts and entities to see connections and context at a glance
Pivot easily from high-level threat narratives to deep alert detail to accelerate investigations
AI-recommended, impact-based containment
Move from detection to decisive action. Agentic SecOps Core recommends the right response based on risk and business impact and helps you execute through inline controls, playbooks, and SOAR/ITSM integrations.

Use AI agents to recommend the best next actions and highlight potential business impact
Get tailored, step-by-step recommendations to investigate and remediate threats with confidence
Trigger native Zscaler controls to reduce risk - block or unblock URLs, files, source IPs, and more
Match response actions to incident severity and risk to contain threats while minimizing disruption
Build multi-step playbooks using Zscaler and third-party controls; run automatically or with human approval
Launch third-party SOAR workflows and bi-directional ITSM tickets to speed response and keep teams aligned
The Zscaler Platform
The cybersecurity platform for the AI Age - built on Zero Trust to protect users, workloads, branches and devices through the world’s largest inline security cloud.

Data Security
Secure data everywhere, with comprehensive visibility and controls across all channels.
AI Security
Embrace AI with confidence using Zscaler AI Protect, a unified solution to secure AI at scale.
Agentic SecOps
Draw on insights from the world’s largest inline security cloud and third-party sources to assess risk and detect and contain breaches.
FAQ
Our solution focuses on delivering immediate security outcomes and value, not simply data retention and compliance. Agentic SecOps Core is built with an AI agent-first approach, creating a modern SOC solution where humans and agents work in concert. Traditional SIEMs aggregate alerts and struggle to correlate the insights—our solution leverages its platform-player advantage and deep context graph to provide AI-driven, actionable incident outcomes. We provide new value on our zero trust data, giving customers the ability to fully investigate 100% of their Zscaler logs directly within Agentic SecOps, building entity relationships that illuminate risk without the cost of sending this high-volume data to the SIEM.
Agentic SecOps is designed to complement, not replace, a SIEM. Many customers keep their SIEM for compliance reporting, long-term retention, and centralized security operations workflows. Where Zscaler Agentic SecOps changes the equation is by unlocking the security value of zero trust telemetry natively, so customers do not have to forward these high-volume logs into their SIEM just to get detection and context. Instead, teams can send a smaller set of enriched detections and contextual insights to the SIEM, improving outcomes while reducing ingestion cost and operational overhead.
Most agentic SOC tools start with alerts that already exist in the SOC stack and then automate investigation steps on top of those signals. Zscaler Agentic SecOps Core starts earlier in the chain with a differentiated data advantage: inline Zero Trust telemetry enriched with identity, device posture, application, and business and risk context. Because that visibility is native to the platform, we can provide higher-fidelity, context-rich prioritization and actions, including for gaps many SOC tools struggle with such as unmanaged devices, compromised identities, attacks hiding in encrypted traffic, and chained attacks. The result is agentic workflows grounded in richer signals and context, not just automation layered on noisy alerts.
The platform provides numerous expert-trained AI agents that work together on clean, contextualized zero trust telemetry connected through the Zscaler Context Graph—better data drives better AI outcomes and faster, more confident decisions. Our initial agents include: AI Summary (clear, end-to-end alert narrative), AI Grouping/Correlation (learned grouping suggestions beyond predefined rules), AI Triage (rapid validation and prioritization of suspicious signals, including IOCs), AI Recommended Response (containment and next-best actions), and AI Enrichment (MITRE context plus asset/host and risk details). Each agent presents supporting and contradictory evidence and explains discrepancies to build customer trust. Future platform enhancements will include additional agents informed and trained by our MDR expert service.
Agentic SecOps is purpose-built for Zscaler customers because it is designed to natively use what they already have in place with the Zscaler platform, rather than forcing them to export raw logs and reconstruct context elsewhere. It leverages inline zero trust telemetry generated across users, apps, and devices, then enriches it with identity, posture, application, and business and risk context that already exists in the Zscaler environment. Because detections, prioritization, and agentic workflows run on-platform, customers can move faster with less integration effort, reduce dependence on high-volume SIEM ingestion and custom correlation rules, and take risk-appropriate action using zero trust inline controls that can dynamically mitigate threats.


