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What is Cortex XCOR?

Palo Alto Networks Cortex XCOR is an enterprise observability platform designed to monitor, analyze, and optimize the performance and reliability of applications, infrastructure, and digital services. Built on technology from Chronosphere, the platform combines AI-powered incident investigation, conversational operations, and scalable telemetry management within a unified environment. Its observability capabilities collect and correlate metrics, logs, traces, and events across cloud-native applications, microservices, infrastructure components, and user-facing systems. XCOR Operator provides a natural language interface that allows engineers to investigate incidents, explore telemetry, construct queries, configure alerts, and generate dashboard panels. AI Investigations uses automated reasoning to analyze operational signals, identify relationships between system components, and isolate probable causes of performance degradation or service failures. Operational Fabric provides the contextual foundation for autonomous workflows by combining real-time system topology, historical operational knowledge, and previous user interactions. Application monitoring features include automatic service discovery, dependency mapping, distributed tracing, service-level objective tracking, and real-time error budget analysis. Real user monitoring captures frontend interactions, page load performance, and application errors, while synthetic monitoring helps teams evaluate the availability and responsiveness of digital services. Infrastructure observability connects application behavior with underlying cloud and computing resources to support troubleshooting across complex distributed environments. The Optimization Engine evaluates telemetry usage and applies centralized rules for dropping, sampling, or aggregating data, while configurable consumption budgets help control monitoring expenses.

What is Arize AI?

Arize provides a machine-learning observability platform that automatically identifies and addresses issues to enhance model performance. While machine learning systems are crucial for businesses and clients alike, they frequently encounter challenges in real-world applications. Arize's comprehensive platform facilitates the monitoring and troubleshooting of your AI models throughout their lifecycle. It allows for observation across any model, platform, or environment with ease. The lightweight SDKs facilitate the transmission of production, validation, or training data effortlessly. Users can associate real-time ground truth with either immediate predictions or delayed outcomes. Once deployed, you can build trust in the effectiveness of your models and swiftly pinpoint and mitigate any performance or prediction drift, as well as quality concerns, before they escalate. Even intricate models benefit from a reduced mean time to resolution (MTTR). Furthermore, Arize offers versatile and user-friendly tools that aid in conducting root cause analyses to ensure optimal model functionality. This proactive approach empowers organizations to maintain high standards and adapt to evolving challenges in machine learning.

Media

Media

Integrations Supported

NudgeBee
OpenTelemetry
Opsgenie
PagerDuty
Sedai
Shoreline
TierZero

Integrations Supported

Amazon Bedrock
Arize Phoenix
Azure Marketplace
Claude Duet
Claude for Legal
Flowise
Hugging Face
LangGraph
LiteLLM
LlamaCloud
LlamaIndex
UbiOps
neptune.ai

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$50/month
Free to use - OSS version
$50/month - Enterprise version
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Palo Alto Networks

Date Founded

2005

Company Location

United States

Company Website

www.paloaltonetworks.com/cortex/xcor

Company Facts

Organization Name

Arize AI

Company Location

United States

Company Website

arize.com

Categories and Features

Agentic DevOps

Not specified

AI Observability

Not specified

AI SRE Agents

Not specified

Cloud Monitoring

Not specified

Incident Management

Not specified

Observability

Not specified

Telemetry

Not specified

Categories and Features

AI Observability

Not specified

Machine Learning

Not specified

Observability

Not specified

Root Cause Analysis

Not specified

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