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Forrester Total Economic Impact™ study finds Edwin AI delivered a 313% ROI for composite organization.

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Quickly deploy and manage 3,000+ collector-based and API-friendly integrations.

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Proactively manage modern hybrid environments with predictive insights, intelligent automation, and full-stack observability.

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Why LogicMonitor?

Discover why leading IT teams trust us to unify hybrid observability and eliminate tool sprawl.

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2026 The Year of Autonomous IT

Discover the trends, benchmarks, and strategies driving the industry shift to Autonomous IT.

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About LogicMonitor

Our observability platform proactively delivers the insights and automation CIOs need to accelerate innovation.

Leadership

Meet the leaders building the future of observability and AI.

Careers

Find job openings and learn about our employee benefits.

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Join a collaborative, values-driven culture built on innovation and growth.

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Autonomously detect, diagnose, and resolve issues across your environment.

Meet Edwin AI

Turn fragmented cross-domain event noise into explainable, guided action.

AI Agent

Deploy specialized AI agents to handle investigation across the incident lifecycle.

Event Intelligence

Compress raw alert storms into high-fidelity, prioritized insights.

AI Automation

Execute governed, closed-loop remediation across automation playbooks.

ITOps Context Graph

NEW

Unify topology, telemetry, and changes into an AI-ready context layer.

MCP

NEW

Establish traceable, secure governance boundaries for AI tool integrations.

Infrastructure Observability

Infrastructure Observability Overview

Full visibility across your entire hybrid estate to eliminate tool sprawl.

Network Monitoring

Accelerate time to innocence with deep network path and device visibility.

Server Monitoring

Track server health, OS metrics, and resource utilization across environments.

Remote Monitoring

Monitor distributed endpoints, branch networks, and remote facility health.

VM Monitoring

Maximize hypervisor performance and streamline compute capacity planning.

SD-WAN Monitoring

Keep multi-site cloud networks connected with real-time edge visibility.

Database Monitoring

Pinpoint database query bottlenecks to keep business applications fast.

Configuration Monitoring

Minimize change failure rates by tracking device configuration drift.

Storage Monitoring

Track SAN/NAS arrays, IOPS bottlenecks, and storage capacity trends.

Cloud Observability

Cloud Observability Overview

Multi-cloud and hybrid environments unified into a single operational pane.

Container Monitoring

Automated, real-time visibility for Kubernetes and ephemeral microservices.

AWS Monitoring

Track AWS services, scaling, and costs alongside on-premises data.

Google Cloud Monitoring

Monitor native GCP infrastructure, compute, and serverless resources.

Azure Monitoring

Comprehensive visibility into Azure environments, gateways, and workloads.

AI Monitoring

Track LLM infrastructure, GPU utilization, and AI application stack health.

Oracle Cloud Monitoring

Track OCI native compute, enterprise databases, and cloud storage.

SaaS Monitoring

Validate availability and workforce productivity for critical SaaS apps.

Internet Performance Monitoring

Internet Performance Monitoring Overview

Understand performance across the full stack wherever users depend on it.

Internet Health

NEW

Use global vantage points for independent validation of internet outages.

Real User Monitoring

NEW

Capture actual customer journeys and frontend performance in real time.

Synthetic Monitoring

NEW

Emulate user transactions and SaaS workflows to catch problems early.

Endpoint Monitoring

NEW

Diagnose remote workforce digital experience across devices and networks.

Digital Experience Monitoring

Digital Experience Monitoring

See every dependency, regardless of ownership or location.

Website Monitoring

Protect revenue journeys with proactive synthetic checks and uptime tracking.

CDN Monitoring

NEW

Audit edge performance and latency variance across your CDN providers.

API Monitoring

NEW

Test endpoints and third-party API reliability for critical app integrations.

Application Performance Monitoring

Connect code execution and traces directly to infrastructure health.

DNS Monitoring

NEW

Speed up time to innocence by tracking global nameserver resolution times.

DevOps Lifecycle Monitoring

NEW

Protect release velocity by validating dependencies during deployments.

BGP Monitoring

NEW

Trace global routing changes and path leaks to secure internet reachability.

Logs

Log Management Overview

Centralize and correlate log data to resolve incidents before they escalate.

Log Analytics & Intelligence

Correlate contextual log data with metrics to speed up root-cause analysis.

By Business Outcome

Automation

Eliminate repetitive operational toil with safe, policy-governed remediation workflows.

Modernization and Transformation

Accelerate complex technology transitions while protecting core enterprise resilience.

Cloud Migration

Maintain workload performance throughout migration.

Tool Consolidation

Reduce licensing costs and data silos by replacing fragmented monitoring tools.

Cost Optimization

Lower your total cost-to-serve by finding cloud waste and underused resources.

Operational Efficiency

Maximize team capacity by reducing alert storms and shift-handoff friction.

Reduce MTTR

Shorten war-room by surfacing topology-aware probable cause in mins.

Network Reachability

NEW

Independently audit external BGP, ISP, and SaaS provider connectivity boundaries.

Edge Deployment Optimization

NEW

Monitor SLOs, compare providers, and validate cloud and edge delivery.

Web Performance Optimization

NEW

Maximize digital checkout conversions by tracking global frontend latency metrics.

Application Resilience

NEW

Safeguard business services against transaction failures and costly downtime.

Workforce Productivity

NEW

Troubleshoot remote hardware and network issues to protect productivity.

By Role

CIO

Maximize enterprise resilience and align AI investments to measurable business ROI.

AIOps

Compress cross-domain event noise into explainable, automated ops leverage.

DevOps

Speed up releases by protecting engineering roadmaps from toil.

ITOps

Standardize incident response to reduce alert fatigue and after-hours work.

CloudOps

Unify multi-cloud visibility to optimize costs and track hybrid blast radius.

By Industry

Healthcare

Protect continuity of care and EHR availability across clinical workflows.

Public Sector

Ensure mission continuity and audit readiness for citizen-facing services.

MSP

Protect service margins and scale ops using multi-tenant, AI-assisted triage.

Retail & E-commerce

Safeguard peak retail campaigns, POS uptime, and digital customer journeys.

Technology

Protect customer trust and engineering velocity with SLA-driven visibility.

Hospitality

Deliver frictionless guest experiences and keep booking engines online.

Education

Maintain always-on student portals, learning platforms, and campus networks.

Manufacturing

Prevent production downtime by unifying IT, OT-adjacent, and edge systems.

Financial Services

Secure transaction trust and meet strict operational resilience compliance requirements.

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Insights and advice from the experts on all things observability and AI.

Case Studies

See what real users have to say about the LogicMonitor platform.

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Live and on-demand learning, all in one place.

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Learn from expert guides on the topics that matter most to IT teams.

Upcoming Events

WEBINAR

Observability at scale: How Topgolf…

August 26, 2026

Viee of a bridge over a river leading to Cologne cathedral rising against the skyline and a blue sky

CONFERENCE

Digital X Cologne

September 8, 2026

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Edwin AI Addendum to MSA

IN THIS ARTICLE

Current as of: December 23, 2024

This Edwin AI “Addendum” amends the LogicMonitor Master Subscription Agreement (the “MSA”) available at https://www.logicmonitor.com/msa, or your signed agreement with LogicMonitor. This Addendum governs your use of LogicMonitor’s large language model (LLM) features and functionalities (the “Edwin AI Features”).

THIS ADDENDUM IS EFFECTIVE AS OF THE DATE YOU FIRST ACCESS OR USE THE EDWIN AI FEATURES. IF YOU WISH TO TURN OFF THE EDWIN AI FEATURES, YOU MUST PROVIDE A NOTIFICATION TO YOUR DESIGNATED CUSTOMER SUCCESS MANAGER OR OTHER CONTACT, OR THESE TERMS WILL CONTINUE TO APPLY. THE EDWIN AI FEATURES ARE INTENDED TO BE USED WITH THE ACCEPTABLE USE POLICY DEFINED BELOW.

  • Edwin AI Features. LogicMonitor’s Edwin AI Features provide enhanced capabilities within the LogicMonitor platform, including but not limited to:
  1. Automated Remediation: Edwin AI Features may suggest or automate responses to system alerts or anomalies.
  2. Predictive Analysis: Edwin AI Features may analyze data to predict potential issues and recommend preventative actions.
  3. Natural Language Interface: Edwin AI Features may enable users to interact with the LogicMonitor platform using natural language commands or queries.
  • Customer Responsibilities. You acknowledge and agree that:
  1. Accuracy: While LogicMonitor strives for accuracy, Edwin AI Features are inherently probabilistic and may not always produce perfect results. The Edwin AI Features rely on your input data for accuracy, and you are solely responsible for validating the accuracy of any information or actions generated by the Edwin AI Features.
  2. Human Oversight Required: Edwin AI Features are intended to augment, not replace, human oversight. You will not engage any Edwin AI Feature(s) for uses that are prohibited, such as those in the EU AI Act, and you will remain responsible for monitoring its systems and making informed decisions based on all available information, subject to human oversight.
  3. Acceptable Use Policy: You agree to comply with LogicMonitor’s “AI Acceptable Use Policy”, available at https://www.logicmonitor.com/ai-acceptable-use-policy, which governs the permissible uses of LogicMonitor’s AI services, including the Edwin AI Features. The AI Acceptable Use Policy is incorporated into this Addendum by reference.
  4. Prohibited Actions: Use of Edwin AI Features is prohibited for purposes of profiling, healthcare triage, or predicting the criminal behavior, or health outcomes, or legal decisions and outcomes for any individual.
  • LogicMonitor Responsibilities. LogicMonitor will:
  1. Reasonable Efforts: Use commercially reasonable efforts to provide and maintain the Edwin AI Features.
  2. Data Security: Implement appropriate technical and organizational measures to protect your data processed by the Edwin AI Features.
  3. Transparency: Provide clear documentation and guidance on the capabilities and limitations of the Edwin AI Features.
  • AI Models & Training: For purposes of this Addendum, the term “model” means a type of artificial intelligence (AI) that is trained on a large dataset of text and code. Specifically a large language model, or “LLM”, can be used to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.
  1. Model Use. LogicMonitor’s processes are designed to ensure that only models are selected that have undergone security evaluations, and have been developed in accordance with industry practices for secure model development. The models applicable to the Edwin AI Features are listed in the applicable documentation. Subject to the requirements above, LogicMonitor may use different models or versions based on the task that needs to be completed. Please see below, however, currently, you are not able to choose which specific LLM models are used.
  2. Customer-Specific Models: For models developed by LogicMonitor, any models will be specific to you (as the customer). Your Customer data will not be shared outside of LogicMonitor or with other customers. Your Customer data will not be used to cross-train other models used by other customers.
  3. Third-Party LLMs: Your Customer data will not be used to train third-party LLMs such as OpenAI’s models. Your Customer data will also not be used to train or improve Microsoft’s products or any other third-party services.
  • Data Sharing:
  1. Your Customer data is not shared with other customers, and your Customer data is split into different datastores that do not overlap with other customers.
  2. Except as needed to provide the Edwin AI Features, your Customer data will not be used by or shared with other vendors, including Microsoft and OpenAI. Microsoft has an established Responsible AI framework along with strict security requirements, ensuring that your Customer data stays within the designated Azure environment. Additionally, Azure OpenAI supplies isolated network security, which segregates client data and applications to prevent cross-contamination.
  • Data Storage:
  1. Data Stored: A range of data is stored within Edwin AI, such as ServiceNow Incidents, knowledge base articles from third-party sources, and other data that the customer enables to be sent to Edwin. You can choose to stop sending data at any time.
  2. Abuse Monitoring: LogicMonitor utilizes Azure’s abuse monitoring to ensure the platform is not being used for malicious purposes. Your Customer data may be stored for up to 30 days within Azure, but only for the purpose of safety evaluation and abuse monitoring. Retained data will not be used for training purposes or sent to third-party vendors.
  3. Data Processed: LogicMonitor’s Edwin AI currently utilizes any data available within Edwin AI, which primarily includes alert information and any additional information configured to be sent to Edwin AI.
  • Data Residency:
  1. Data stored within Edwin AI complies with data residency regulations. Due to limitations in Azure OpenAI’s models, LogicMonitor has a global deployment for access to the LLMs. While Customer data will stay stored in its region, LogicMonitor may process data in an outside region (as described in the LogicMonitor DPA).
  2. If you are located within the European Union (EU), United Kingdom (UK), or Australia or the pacific region (collectively called “APAC”), you will need to opt in to the GenAI Assist features. For more information on data residency, refer to the DPA.
  • Updates and Modifications; Governing Law; Entire Agreement
  1. LogicMonitor may update or modify the Edwin AI Features and this Addendum from time to time, by updating the terms at this hyperlink. LogicMonitor will provide reasonable notice of any material changes. This Addendum, together with the MSA, constitutes the entire agreement between the parties with respect to the Edwin AI Features and supersedes all prior or contemporaneous communications, representations, or agreements, whether oral or written. This Addendum shall be governed by and construed by the governing law provision in the MSA.
  2. Limitations of Liability. Notwithstanding anything to the contrary in any other document or agreement, the parties agree that the limitations of liability and disclaimer of damages from the MSA will apply to this Addendum and the Edwin AI Features.
  • Optional Subprocessors
    1. Generally. By choosing to purchase and enable the Edwin AI Features, you acknowledge that these Edwin AI Features utilize Microsoft Azure’s services as a Sub-processor (described further in the LogicMonitor DPA), and Customer consents to the use of the following Subprocessors, which are hereby added to the LogicMonitor Data Handling Supplement:
Data SubprocessorApplicable ServiceData Hosting Location 

Microsoft Azure

Hosted Compute and LLM
North America:East USCentral USWest USCanada Central
Europe:West EuropeNorth EuropeFrance Central
Asia Pacific:Southeast AsiaEast AsiaAustralia EastJapan East
OpenAIAI Model Processing & NLP ServicesAligns with customer’s selected Azure region. See https://platform.openai.com/docs/guides/your-data for more information.
AWS (Amazon Web Services, Bedrock)Cloud AI Compute & Model HostingLocations are available to align with the selected hosting region.

  1. Microsoft Azure: Provides cloud infrastructure and services for hosting and processing data related to the optional features.
    1. Microsoft Azure Data Center Locations: The optional features may utilize Microsoft Azure services hosted in the following data center locations:
      1. North America: East US, Central US, West US, Canada Central
      2. Europe: West Europe, North Europe, France Central
      3. Asia Pacific: Southeast Asia, East Asia, Australia East, Japan East
  2. OpenAI: Provides large language models and APIs used for natural language processing and generation in the optional features.
  3. AWS Bedrock: Provides large language model hosting services for certain optional features. LogicMonitor configures Bedrock in an AWS region available to align with the Customer’s selected Azure data center region (see “Data Center Locations” above).
  4. Compliance. LogicMonitor will ensure that these Subprocessors comply with the data processing and security obligations as outlined in this Addendum and the MSA. You acknowledge that the use of these optional features may involve the transfer of data to Subprocessors located outside of your geographic region, if the Microsoft Azure Data Center Location is not located in the same region as your selected deployment region in AWS. Please see the locations listed above.

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