Overview
Identify the most dangerous threats and contain them fast
Zscaler Agentic SOC shifts your security operations center from endless alert processing to decisive action. It unifies alerts across your entire stack, enriches every threat with rich business and zero trust context, prioritizes risk based on real impact, and guides right-sized containment so teams can stop high-impact incidents with confidence.
Experience Zscaler Agentic SOC
Explore the interactive demo to see how you can transform your SOC to focus on prioritized threats instead of endless alert volume.
The Problem
Human-speed SOCs cannot keep pace with machine-speed attacks
The era of running the SOC on EDR-centric data and SIEMs is over. Working through after-the-fact signals means SOC teams get the analysis too late to stop the attack. The limited context, operational complexity, and slow response times that have characterized SOCs for years simply can’t protect organizations today.
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
Zscaler Agentic SOC transforms fragmented alerts into actionable, prioritized threat stories. Powered by the Data Fabric for Security, it correlates signals across Zscaler inline telemetry and third-party tools, automatically enriching each incident with business context including asset criticality, identity hygiene, posture gaps, and exposure conditions. Specialized AI agents drive automated triage, visual attack path mapping, evidence-backed verdicts, and recommended response playbooks. Tied directly to inline Zero Trust Exchange controls, Agentic SOC enables security teams to contain threats at machine speed while minimizing business disruption.
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 fatigue and operational complexity. Agentic SOC aggregates alerts from across your security stack, connecting signals from Zscaler, endpoint, identity, email, and cloud tools into unified threat stories. Using AI correlation and customizable business rules, analysts instantly see how activity connects across users, devices, apps, and networks.
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 and exposure context
Agentic SOC automatically layers rich context onto every incident, eliminating the need for analysts to swivel between disconnected consoles. By drawing from the Data Fabric for Security, the platform combines user identity hygiene, asset criticality, network traffic signals, vulnerability status, and deception tripwires to give security teams total clarity on what is at risk.
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 with agentic transparency
Accelerate triage with AI-generated incident summaries, attack path visualizations mapped to the MITRE ATT&CK framework, and full decision transparency. Zscaler AI agents display both supporting and contradictory evidence for every determination, giving analysts complete confidence to validate findings rapidly and understand adversary tactics.
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 investigation to decisive mitigation. Agentic SOC recommends the optimal containment action designed to deliver the highest security impact with the least business disruption. Security teams can execute playbooks manually with human oversight or enable full automation as confidence grows, using inline zero trust controls to isolate threats in real time.
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
FAQ
Agentic SOC focuses on delivering immediate, actionable security outcomes rather than passive log retention and compliance storage. Built with an AI agent-first architecture, it enables human analysts and specialized AI agents to collaborate seamlessly. Traditional SIEMs collect massive volumes of raw logs but struggle with cross-tool correlation and context enrichment, resulting in high ingestion costs and alert fatigue. Zscaler Agentic SOC leverages inline Zero Trust Exchange telemetry and the Data Fabric for Security to provide deep investigation capabilities and AI-driven verdicts directly on platform, allowing organizations to investigate 100% of their Zscaler traffic without forwarding raw logs into a SIEM.
Agentic SOC complements your existing SIEM rather than forcing a total replacement. Most organizations retain their SIEM for long-term compliance storage, audit reporting, and broad enterprise log aggregation. Zscaler Agentic SOC changes the operational equation by unlocking the security value of zero trust network, endpoint, identity, and cloud telemetry natively. Instead of paying to ingest high-volume raw logs into a SIEM just to perform basic triage and correlation, security teams use Agentic SOC to enrich and investigate threats on platform, forwarding only distilled, high-fidelity incidents to the SIEM.
Most agentic SOC tools operate as overlay software that sits on top of existing alerts, running automation scripts on noisy, low-context data. Zscaler Agentic SOC begins with a fundamental data advantage: direct access to 750+ billion daily inline transactions processed by the Zero Trust Exchange, enriched with native identity, device posture, and application context. Because this rich telemetry is native to the platform, our specialized AI agents operate on high-fidelity signals to detect evasive threats that overlay tools miss, such as compromised identities, living-off-the-land RMM abuse, ClickFix browser attacks, and unmanaged device threats.
The platform features dozens of specialized AI agents that collaborate across clean, contextualized telemetry connected through the Zscaler Context Graph. Key capabilities include AI Threat Summaries (clear narrative of attack flow), AI Grouping and Correlation (intelligent signal aggregation beyond fixed rules), AI Triage (rapid indicator validation and prioritization), AI Recommended Response (impact-assessed containment playbooks), and AI Enrichment (MITRE mapping and posture details). To build analyst trust, every agent presents full decision transparency, displaying supporting evidence alongside contradictory data and explaining discrepancies so analysts can verify recommendations instantly.
Agentic SOC is purpose-built for Zscaler customers because it natively activates the inline security telemetry and zero trust enforcement controls already present in their environment. Rather than forcing teams to export massive log volumes to third-party tools, Agentic SOC correlates zero trust signals across users, devices, and cloud apps natively. This allows Zscaler customers to achieve rapid time-to-value, eliminate SIEM data ingestion costs, and execute closed-loop containment using Zero Trust Exchange controls to isolate threats and restrict access instantly.