Akto - API Security platform
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      • Add API traffic to Akto using HAR file upload
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    • Configure TLS on kafka
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    • Concepts
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      • Advanced Filter Option
    • How-To
      • Enable Tree view for API collections
      • Export an API Collection to Postman
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      • Create API group
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      • Descriptions for API Collections & Endpoints
      • Remove API(s) from API group
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      • Copy API Endpoints Data
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      • Set Sensitivity of a Data Type
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      • Add a Custom Auth Type
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      • Extract APIs from github hosted source code using our Github Action
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      • Create New Tags
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  • API Protection
    • Overview
    • External API Runtime Threat Notifications
    • Concepts
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  • WAF
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  • Test Editor
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        • ID
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    • How To
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        • Ephemeral Storage for Hybrid Runtime
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  • Issues
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    • Traffic mirroring module
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    • Context analyzer
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On this page
  • What Does It Do?
  • How It Fits Into Akto’s Architecture
  • Why It Matters
  • Summary
  • Get Support for your Akto setup

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  1. Components

Runtime analyzer

PreviousTraffic mirroring moduleNextContext analyzer

Last updated 20 days ago

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This module processes all the traffic given to Akto. From the traffic, it finds out endpoints, auth policies, changes in APIs and populates them in the database. It can process API calls upto the speed of 1M calls/min.

  • Dockerhub version: aktosecurity/akto-api-security-runtime:latest (Enterprise only)

  • Interaction: Runtime analyzer runs as a library in community edition where it gets triggered on Postman import, Burp integration or upload HAR file. In enterprises, it runs as a separate docker image. There, it consumes data from Kafka and saves endpoints along with their metadata in Database.

  • Architecture: For enterprises, Runtime analyzer docker runs on a separate instance in a private subnet as part of an AutoScalingGroup. This AutoScalingGroup is behind a private NLB (not the same as dashboard's ALB).


What Does It Do?

  • Auth Policy Detection:

    Detects authentication mechanisms like API keys, JWTs, and OAuth tokens.

  • Metadata Extraction:

    Captures request/response headers, payloads, status codes, and flags sensitive data.

  • Change Detection:

    Identifies changes in APIs, such as new parameters or response structure updates.


How It Fits Into Akto’s Architecture

  • It parses and enriches the data to maintain a real-time view of your APIs.

  • The processed data is made available in the Akto Dashboard for API inventory, security testing, and monitoring.


Why It Matters

  • ✅ Ensures your API inventory is always current based on real traffic.

  • ✅ Surfaces authentication methods and sensitive data automatically.

  • ✅ Enables real-time change detection for proactive API monitoring.


Summary

The Runtime Analyzer transforms raw traffic into structured, actionable API data, powering Akto’s API discovery, security insights, and change tracking—continuously.


Get Support for your Akto setup

There are multiple ways to request support from Akto. We are 24X7 available on the following:

  1. In-app intercom support. Message us with your query on intercom in Akto dashboard and someone will reply.

  2. Contact help@akto.io for email support.

The Runtime Analyzer ingests traffic data from Kafka (typically supplied by the Traffic Mirroring Module or .

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