Outpace AI-Driven Attacks with Agentic SecOps
Combine insights from your Zscaler telemetry with agentic SOC workflows to shrink your attack surface and contain breaches fast.
Unify proactive and reactive security for unparalleled risk reduction
Zscaler cuts operational noise and drives faster response with high-fidelity detections grounded in real traffic, policy decisions, and correlated security signals from Zscaler and third-party sources. We help teams reduce their attack surface by finding and prioritizing exposures and threats across identities, devices, apps, and data. We close the loop with zero trust inline controls to remediate exposures and contain active threats.
The Problem
Human-scale security operations can no longer keep pace
The adoption of AI and the rise in new types of attacks are introducing risks that existing SecOps tooling and processes struggle to defend against. AI adoption has exponentially increased attack surfaces everywhere, and identity, browser, and AI-based attacks—that run at machine speed and can bypass existing protections—are all on the rise. Defending against these attacks requires the right data, broader context to accurately assess risks and threats, and agentic operations to enable machine-speed defenses.
Zscaler customers already have the foundation to address these challenges, including unique telemetry, rich business context, and inline controls that can dynamically mitigate risk. The Zscaler Agentic SecOps platform brings these elements together to turn signals into prioritized insight and enable faster, risk-appropriate action.
AI impact on attack surface
New attack vectors
Machine-speed adversaries
Critical network insight gaps
Solution Overview
An agentic-powered platform for SecOps visibility, insight, and action
The Agentic SecOps platform combines unique Zscaler telemetry, business and risk context, agentic workflows, and adaptive response to strengthen proactive and reactive security operations. The platform is designed to deliver immediate SecOps value for Zscaler customers using their zero trust telemetry and inline controls. By unifying zero trust telemetry with posture insights and alerts across endpoints, data, and AI, it detects threats host agents can miss, including risks from unmanaged devices, compromised identities, encrypted payloads, lateral movement, and data loss.
01
Unique data for context and clarity
Our platform combines first-party telemetry with third-party signals to clarify risk and attacks, giving SecOps teams broader coverage and better context.
02
Security graph for agentic insight
Our data fabric unifies network, identity, asset, and cloud context so AI agents can correlate signals and prioritize the exposures and threats that matter most.
03
Adaptive responses for right-sized actions
Turn insight into action with inline, risk-based responses through the Zero Trust Exchange, including step-up authentication, reduced access, and user isolation.
Benefits
From zero trust insight to machine-speed action
Use zero trust insights to improve certainty
Ground decisions in user, app, and traffic behavior to reduce guesswork, cut noise, and increase confidence in what is truly risky.
Understand your attack surface and risk
Connect identities, assets, apps, vulnerabilities, and threats to continuously map exposures and focus remediation where it lowers risk most.
Prioritize the riskiest threats
Roll up atomic alerts into unified threats and rank them using business and risk context so SOC analysts focus on what matters first.
Leverage agentic triage and investigation
Let AI agents group and triage threats, summarize evidence, and recommend next steps so analysts move faster with less manual effort.
Apply right-sized controls
Use inline, risk-based enforcement through the Zero Trust Exchange, from enhanced authentication to access reduction and containment.
Continuously harden with feedback loops
Feed incident learnings back into exposure and posture programs to close gaps, validate controls, and prevent repeat attacks.
Deploy advanced, dynamic detections
Detect more threats by correlating zero trust network telemetry with endpoint, posture, data, decoy, and AI signals, even for devices without agents or when traffic is encrypted.
Hunt threats with expert-led investigations
Proactively search for attacker behavior across users, devices, and apps, then validate findings quickly with deep network and identity context.
Augment your SOC with MDR services
Extend your team with 24/7 monitoring, investigation, and response support to accelerate containment and keep coverage strong when resources are tight.
Solution Details
Transform alert noise into actionable, prioritized threats
Agentic SecOps Core shifts your SOC from alert processing to decisive action. It unifies Zscaler and third-party alerts, 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.
Key offerings
Turn disparate alerts into connected threat narratives by aggregating signals and related context across your environment.
Automatically add asset criticality, user identity, and exposure insights so analysts quickly understand scope and impact.
Rank threats by potential business impact using AI-driven insights, best practices, and your business logic.
Use AI-generated incident summaries plus unified evidence, timelines, and attack path context to get from alert to understanding in minutes.
Get AI containment recommendations and apply inline controls across zero trust and third-party systems to reduce risk while minimizing disruption.
Enrich and investigate within Agentic SecOps Core, then forward only high-priority, context-rich threats to your SIEM when needed.
Deploy active defense with deception technology
Detect attacks that slip past traditional controls. Zscaler Deception plants realistic decoys and lures across endpoints, apps, cloud, and identity systems to identify AI-driven attacks and expose compromised users, lateral movement, and ransomware—with high-confidence detections and near-zero false positives.
Key offerings
Quickly deploy realistic decoy users, apps, servers, credentials, and endpoint lures that are indistinguishable from real assets.
Use the parallelism and speed of AI-orchestrated attacks against bad actors, deploying realistic decoys and lures that AI agents will inevitably touch to trigger instant, confirmed alerts with near-zero false positives.
Detect compromised users and stolen-credential abuse the moment an attacker interacts with decoy sessions, passwords, cookies, bookmarks, or apps.
Divert attackers away from high-value targets and intercept reconnaissance and pivoting attempts across networks, apps, and cloud environments.
Use Zscaler Zero Trust Exchange policies and integrations (e.g., to SIEM/SOAR) to automatically limit or cut off access during active attacks.
Uncover prompt injection, data poisoning, and other attacks with GenAI-focused decoys (chatbots, LLM APIs, adaptive decoys, and agents).
Know all your assets and identities. Fix your gaps. Reduce your risk.
Move beyond fragmented asset, identity, and vulnerability data. Zscaler Exposure Management—built on the Data Fabric for Security—correlates signals from Zscaler and key third-party sources to create a trusted view of asset truth, surface your riskiest exposures with business context, and orchestrate remediation with AI-powered workflows—so you reduce risk faster and hit critical SLA targets.
Key offerings
Unify and resolve assets across source systems to build a holistic, accurate inventory you can trust.
Aggregate vulnerability and exposure findings from every source and rank what to fix first based on your environment.
Track remediation SLAs and posture KPIs with pre-built and custom reporting across teams and business units.
Cluster related issues into smart tickets and trigger bi-directional workflows with ITSM/CMDB to accelerate fixes and keep systems updated.
Aggregate user data from all sources to assess identity posture, uncover posture gaps, and calculate dynamic identity risk scores for decisive action.
Enrich SOC alerts with asset criticality, exposure severity, exploitability, and compensating controls to focus response on what materially reduces risk.
Expose hidden attacker activity in allowed web and cloud traffic
Zscaler Threat Hunting uses Zscaler Internet Access (ZIA) telemetry to uncover suspicious behavior that blends into “normal” activity—like attackers abusing approved tools, valid credentials, and encrypted channels. Our expert hunters investigate, enrich, and prioritize findings so your team can stop threats earlier in the attack chain, without the cost and risk of exporting and ingesting massive log volumes into a SIEM.
Key offerings
24/7 proactive hunting for anomalies and advanced threats across internet and SaaS traffic.
Benefit from hunts that detect and disrupt attacker activity in web and cloud services before it becomes an endpoint breach.
Reduce alert fatigue by receiving a curated set of prioritized findings—not more noise.
Gain powerful insights from Zscaler's Zero Trust Exchange and its 500B+ daily transactions.
Get better coverage with threat hunter-developed detections and custom AI/machine learning analytics.
Receive enriched investigations with research-backed intelligence, including tracking of 200+ threat groups.
Extend your SOC with 24/7 human-led, AI-powered MDR
Close coverage gaps and cut through alert noise with Zscaler Managed Detection & Response. We collect and contextualize telemetry from your security stack—including ZIA—to validate real threats, accelerate investigations, and guide containment and remediation so your team can respond faster without adding headcount.
Key offerings
Deploy always-on coverage to detect, investigate, and respond around the clock.
Ensure zero trust signals are factored into your MDR service to speed triage and decision making.
Leverage confirmed and prioritized real threats while reducing false positives and noise.
Automate enrichment and investigation while experts handle advanced attacks and escalation.
Move from detection to containment quickly with guided and hands-on support.
MDR experts ensure you see threats your point solutions miss by correlating signals across your existing tools.
Use Cases
Improve SecOps outcomes with an integrated, AI-powered platform, purpose built for Zscaler customers
Unify and enrich alerts with business context to produce ranked threat stories, so analysts focus on the incidents that matter most and act faster.
Trigger risk-based actions through the Zero Trust Exchange, from stepped-up auth to access reduction and isolation, to stop threats fast with minimal disruption.
Correlate identities, assets, vulnerabilities, and controls to prioritize the most consequential exposures and orchestrate remediation workflows to reduce risk continuously.
Deploy advanced decoys to catch autonomous agentic attacks operating at machine speed, before they can fully execute their playbooks.
Leverage Zscaler’s expert threat hunters and ZIA telemetry to detect and disrupt attacks before they reach your endpoints.
Combine AI and expert-led operations to validate threats across your stack, accelerate investigation, and guide containment and remediation without adding headcount.
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.
Customer Success Stories
LifeLabs identifies the most critical security gaps
Guaranteed Rate gains critical visibility to reduce cyber risk
Godrej fights back against advanced attacks
FAQ
An agentic SecOps platform is an emerging approach to security operations that uses AI agents to assist with triage, investigation, and response by turning fragmented alerts into coordinated, contextual work. The Zscaler Agentic SecOps platform brings together unique telemetry, rich business context, and inline controls to convert signals into prioritized insight and enable faster, risk-appropriate action.
Across the industry, agentic AI is being adopted to reduce alert fatigue and speed up detection and response by automating repetitive analysis and workflow steps. Zscaler Agentic SecOps correlates signals across web, SaaS, and identity activity, adds the context needed to assess risk, and helps teams move from investigation to containment with streamlined, consistent actions.
In modern security operations, zero trust is most effective when continuous risk assessment is connected to real-time enforcement, not just policy design. Our Agentic SecOps platform uses Zscaler's inline controls and real-time signals to support dynamic, risk-based actions such as reducing access, applying step-up controls, or limiting exposure based on changing conditions.
Most SOC teams struggle with disconnected tools, high volumes of low-context alerts, and time-consuming pivoting across logs and consoles to determine what matters most. The Zscaler Agentic SecOps Platform unifies key signals, enriches them with business context, and prioritizes exposures and threats so analysts can focus on the issues most likely to impact the business.
Most organizations are looking to bring agentic capabilities into their SecOps program. However most aren't interested in replacing their SIEM, EDR, IAM, and ticketing systems, so integration and interoperability are critical requirements. The Zscaler Agentic SecOps platform is built to complement existing tools by enriching signals with Zscaler telemetry and context, then enabling coordinated workflows that accelerate investigation and response.
Industry-wide, AI is expanding the attack surface and accelerating adversaries through new applications, new data paths, and machine-speed attacks that can bypass traditional controls. The Zscaler Agentic SecOps platform helps address this by combining broad telemetry, contextual risk assessment, and agentic operations that enable faster, risk-appropriate defenses.
Our AI agents are trained on 11+ years and counting of high-fidelity threat detection, investigation, and incident response data and industry-leading security operations workflows. The richness and reliability of the training data is what contributes to a 99.7% threat accuracy rating and rapid responses times when they collaborate with our human experts.