Best Attack Surface Management Platforms for Azure Application Gateway

Find and compare the best Attack Surface Management platforms for Azure Application Gateway in 2026

Use the comparison tool below to compare the top Attack Surface Management platforms for Azure Application Gateway on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Informer Reviews

    Informer

    Informer

    $500 Per Month
    Informer's 24/7 monitoring and automated digital footprint detection will reveal your true attack surface. Access detailed vulnerability data for web applications and infrastructure. Expert remediation advice is also available. Dashboards enable you to see and understand your evolving attack surfaces, track your progress, and accurately assess your security posture. You can view and manage your vulnerabilities and discovered assets in one place. There are multiple ways to help you quickly address your risks. Access to detailed management information is provided by the custom reporting suite, which was specifically designed to record asset and vulnerability data. You will be instantly alerted whenever there are any changes to your attack surface that could impact the overall security posture in your environment, 24 hours a day.
  • 2
    Resurface Reviews

    Resurface

    Resurface Labs

    $9K/node/year
    Resurface is a runtime API security tool. Resurface continuous API scanning allows you to detect and respond in real time to API threats and risks. Resurface is a purpose-built tool for API data. It captures all request and response payloads, including GraphQL, to instantly see potential threats and failures. Receive alerts about data breaches for zero-day detection. Resurface is mapped to OWASP Top10 and alerts on threats with complete security patterns. Resurface is self-hosted and all data is first-party. Resurface is the only API security system that can be used to perform deep inspections at scale. Resurface detects active attacks and alerts them by processing millions of API calls. Machine learning models detect anomalies and identify low-and slow attack patterns.
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