> For the complete documentation index, see [llms.txt](https://cortex-docs.paloaltonetworks.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cortex-docs.paloaltonetworks.com/cortex-xsiam/learn-about-cortex-xsiam/get-started-cortex-xsiam.md).

# Get started with Cortex XSIAM

#### What is Cortex XSIAM?

Cortex XSIAM (Extended Security Intelligence and Automation Management) is an AI-driven platform designed to power the autonomous Security Operations Center (SOC). It transforms security operations by consolidating best-in-class SOC capabilities, including SIEM, XDR, SOAR, ASM, and Threat Intelligence, along with native Cloud Security (subject to license) into a single, unified platform.

By harnessing the power of Agentic AI and a centralized data foundation, Cortex XSIAM simplifies operations, stops threats at scale across both enterprise and cloud environments, and accelerates incident remediation through autonomous decision-making.

#### Key features

Simplify security operations with a converged platform:

* Unified Cloud and Enterprise Security

  Cortex XSIAM combines SOC capabilities, such as XDR, SOAR, ASM, and SIEM, with Cloud Posture (CSPM) and Cloud Runtime Security into a uniﬁed platform, eliminating the need to switch between cloud and security consoles.
* Broad integration

  Enables easy onboarding of diverse data sources from endpoints and firewalls to cloud workloads without extensive engineering efforts.
* Deep data stitching

  Ensures continuous collection, stitching, and normalization of raw data (including cloud telemetry), going beyond simple alerts to deliver enriched, cross-domain insights.

Stop threats at scale with AI-driven outcomes:

* Unified visibility

  Leverage out-of-the-box AI models to connect events across endpoints, identities, networks, and cloud infrastructure, delivering a holistic view of cases.
* Intelligent prioritization

  Employs issue grouping and AI-driven scoring to prioritize cases based on overall risk, correlating cloud misconfigurations (posture) with active runtime threats.
* Focus on critical threats

  Transforms low-confidence events into high-confidence cases, allowing security teams to focus efficiently on confirmed threats.

Accelerate remediation with an Agentic AI workforce:

* Cortex Agentic Assistant

  Moves beyond static playbooks by deploying autonomous AI agents that can plan, reason, and investigate complex threats, such as cloud identity theft or container breaches, without human intervention.
* Autonomous Resolution

  Automates manual tasks and complex decision-making processes, reducing Mean Time to Resolution (MTTR) by independently verifying and fixing issues.
* Pre-built Content

  Offers hundreds of pre-built content packs from Cortex Marketplace to streamline operations immediately.
* Continuous Learning

  The platform learns from analyst actions and autonomous agent outcomes, continuously refining its detection and response logic.

#### Security challenges addressed by Cortex XSIAM

* Data overload

  Reduces noise from high volumes of security events by using AI to filter and prioritize actionable cases.
* Fragmented security visibility

  Eliminates blind spots by unifying endpoint, network, identity, and cloud (Code-to-Cloud) data into one comprehensive detection engine.
* Slow case response

  Accelerates investigations with agentic abilities, which autonomously performs root cause analysis and executes remediation plans.
* Manual alert management

  Shifts the workload from human analysts to AI agents that handle the enrichment and resolution of routine and complex issues alike.
* Evolving threat landscape

  Keeps defenses up-to-date with real-time threat intelligence and continuous ML model optimization.
* Operational inefﬁciencies: Delivers an out-of-the-box solution with built-in optimizations, eliminating the need for extensive customer-led tuning.
* Analyst burnout

  Alleviates alert fatigue by offloading repetitive investigation and response tasks to the AI workforce, allowing analysts to focus on strategic defense.


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