Kong Immunity

Autonomously identify service issues with machine learning-powered anomaly detection.


As architectures shift to microservices and become increasingly distributed, threats and issues become more difficult to detect due to increased east-west traffic. Through machine learning, Kong Immunity autonomously identifies service behavior anomalies in real-time to improve security, mitigate breaches and isolate issues.

Customer Voice

Customer Voice

“With Kong, we knew that we would get something that would work perfectly with our technology today and set us up for where we want to go with microservices.”

Kanaderu Fukuda,
Senior Manager of Computing Platform, Yahoo! Japan

Customer Voice

Customer Voice

“As we evaluated API platforms, it was critical that the vendor we chose could simultaneously support our existing services in the public cloud with what we are building in Kubernetes. Kong offered us the ability to unify services across clouds, which gave us the flexibility to build new services iteratively and how we wanted without fear of cloud lock-in.”

Jason Rodriguez,
VP of Engineering at SoulCycle

Customer Voice

Customer Voice

“We put Agile, DevOps and CI/CD at the heart of everything we do, and we realized that we needed new tooling to match the new ways we wanted to build products and services”

Jason Walker,
Sr Enterprise Architect, Cargill


Adaptive Learning

Analyze traffic to create a baseline across your Kong Enterprise deployment through machine learning-fueled detection and analysis of service behavior.

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Proactive Anomaly Identification

Autonomously analyze production traffic to identify anomalous service behavior. Tailor the severity of alerts to eliminate noise and customize notifications.

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Automatic Alerts

Receive real-time email and Slack alerts notifying users of anomalies that require attention. Customize by channel, workspace and service.

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Related Resources


Blowing Up the Monolith

Case Study

Yahoo! Japan


Using Kong Enterprise

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