defensive-graphql

Detect GraphQL introspection abuse by applying Sigma-based SIEM rules to monitor for untrusted introspection requests. You can harden API security by disabling introspection in production environments to prevent schema leakage.

Prevent batch attacks and deep-nested queries in GraphQL by enforcing depth and complexity limits. Identifying unusual aliasing in mutations helps stop brute-force attempts and resource exhaustion caused by malicious payloads.

You can monitor GraphQL API activity in Azure using KQL queries for Azure Gateways. These detection rules track large batch bodies and unusual mutation aliasing to identify potential denial-of-service patterns.

The best way to harden GraphQL endpoints against denial of service is combining proactive monitoring with strict query constraints. Disabling introspection and enforcing query depth limits effectively reduces the risk of resource exhaustion.

This skill provides Sigma-based detection rules specifically for threat hunting GraphQL misuse. These rules integrate into existing SIEM workflows to alert on introspection exposure, batch attacks, and suspicious mutation aliasing.

You should enforce complexity limits on GraphQL mutations whenever endpoints are exposed to unauthenticated or misconfigured clients. Limiting query depth and complexity mitigates the risk of deep-nested queries causing API resource exhaustion.