AirMDR

About AirMDR

AirMDR employs AI-powered virtual analysts to automate over 80% of routine security tasks, enabling rapid triage, investigation, and response to alerts within five minutes. This approach significantly enhances the efficiency of security operations centers while reducing costs by over 50% compared to traditional managed detection and response services.

```xml <problem> Security operations centers (SOCs) face challenges with the high volume of security alerts, leading to slow triage, inconsistent investigations, and delayed response times. Traditional managed detection and response (MDR) services rely heavily on human analysts, resulting in high costs and scalability issues. This can lead to critical alerts being missed or addressed too late, increasing the risk of successful cyberattacks. </problem> <solution> AirMDR offers an AI-powered MDR solution that automates alert triage, investigation, and response, significantly improving SOC efficiency. The platform uses AI virtual analysts to process and investigate alerts, providing rapid analysis and recommended actions. By automating over 80% of routine security tasks, AirMDR reduces the workload on human analysts, allowing them to focus on the most critical threats. The system integrates with over 200 security products, ensuring comprehensive coverage of the existing security stack and faster response times, with 90% of alerts triaged in under five minutes. </solution> <features> - AI-powered virtual analysts for automated alert triage, investigation, and response - Integration with 200+ security products for comprehensive coverage - Pre-built, customizable playbooks based on expert intelligence for consistent response actions - Transparent metrics for tracking improvements in Mean Time to Identify (MTTI) and Mean Time to Respond (MTTR) - Continuous supervision and enhancement by human security experts - Natural language interface for interacting with the virtual analyst - One-click response actions for rapid remediation </features> <target_audience> AirMDR targets security operations centers (SOCs), managed security service providers (MSSPs), and enterprises seeking to improve their threat detection and response capabilities while reducing costs. </target_audience> <revenue_model> AirMDR offers a subscription-based pricing model for its AI-powered MDR service, providing cost savings of over 50% compared to traditional MDR services. </revenue_model> ```

What does AirMDR do?

AirMDR employs AI-powered virtual analysts to automate over 80% of routine security tasks, enabling rapid triage, investigation, and response to alerts within five minutes. This approach significantly enhances the efficiency of security operations centers while reducing costs by over 50% compared to traditional managed detection and response services.

Where is AirMDR located?

AirMDR is based in Menlo Park, United States.

When was AirMDR founded?

AirMDR was founded in 2023.

How much funding has AirMDR raised?

AirMDR has raised 5000000.

Who founded AirMDR?

AirMDR was founded by Carolyn Crandall and Anthony Morris.

  • Carolyn Crandall - Founder
  • Anthony Morris - Co-Founder/Head of Infosecurity
Location
Menlo Park, United States
Founded
2023
Funding
5000000
Employees
28 employees
Major Investors
Foundation Capital
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AirMDR

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

AirMDR employs AI-powered virtual analysts to automate over 80% of routine security tasks, enabling rapid triage, investigation, and response to alerts within five minutes. This approach significantly enhances the efficiency of security operations centers while reducing costs by over 50% compared to traditional managed detection and response services.

airmdr.com1K+
cb
Crunchbase
Founded 2023Menlo Park, United States

Funding

$

Estimated Funding

$5M+

Major Investors

Foundation Capital

Team (25+)

Carolyn Crandall

Founder

Anthony Morris

Co-Founder/Head of Infosecurity

Company Description

Problem

Security operations centers (SOCs) face challenges with the high volume of security alerts, leading to slow triage, inconsistent investigations, and delayed response times. Traditional managed detection and response (MDR) services rely heavily on human analysts, resulting in high costs and scalability issues. This can lead to critical alerts being missed or addressed too late, increasing the risk of successful cyberattacks.

Solution

AirMDR offers an AI-powered MDR solution that automates alert triage, investigation, and response, significantly improving SOC efficiency. The platform uses AI virtual analysts to process and investigate alerts, providing rapid analysis and recommended actions. By automating over 80% of routine security tasks, AirMDR reduces the workload on human analysts, allowing them to focus on the most critical threats. The system integrates with over 200 security products, ensuring comprehensive coverage of the existing security stack and faster response times, with 90% of alerts triaged in under five minutes.

Features

AI-powered virtual analysts for automated alert triage, investigation, and response

Integration with 200+ security products for comprehensive coverage

Pre-built, customizable playbooks based on expert intelligence for consistent response actions

Transparent metrics for tracking improvements in Mean Time to Identify (MTTI) and Mean Time to Respond (MTTR)

Continuous supervision and enhancement by human security experts

Natural language interface for interacting with the virtual analyst

One-click response actions for rapid remediation

Target Audience

AirMDR targets security operations centers (SOCs), managed security service providers (MSSPs), and enterprises seeking to improve their threat detection and response capabilities while reducing costs.

Revenue Model

AirMDR offers a subscription-based pricing model for its AI-powered MDR service, providing cost savings of over 50% compared to traditional MDR services.

AirMDR - Funding: $5M+ | StartupSeeker