api-security-best-practices

Integrate authentication, authorization, input validation, and rate limiting for REST, GraphQL, and WebSocket APIs.

1|Updated Sep 11, 2025
One-click install
npx skills add https://github.com/Dhumitech/DHUMI-AI-RESOURCE --skill api-security-best-practices-dhumitech
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: api-security-best-practices
Source: https://github.com/Dhumitech/DHUMI-AI-RESOURCE/tree/main/AI-Engineer-planner-Skills/05-secure/api-security-best-practices
Command: npx skills add https://github.com/Dhumitech/DHUMI-AI-RESOURCE --skill api-security-best-practices-dhumitech

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Secure APIs require robust patterns for authentication, authorization, input validation, rate limiting, and secure headers to prevent common vulnerabilities and data leaks.

Core Features & Use Cases

  • Authentication and authorization patterns (JWT, OAuth 2.0, API keys) to control access.
  • Input validation, sanitization, and secure data handling to prevent injection and data leakage.
  • Rate limiting, throttling, and abuse protection to guard endpoints.
  • Data protection, encryption in transit and at rest, and secure error handling.
  • Security testing, hardening, and compliance considerations for REST, GraphQL, and WebSocket APIs.

Quick Start

Configure your API project to enable token-based authentication, input validation, and rate limiting using your chosen tech stack.

Frequently Asked Questions about api-security-best-practices

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I secure REST and GraphQL APIs with authentication and authorization patterns?

Secure APIs by applying token-based authentication and authorization patterns like JWT and OAuth 2.0 to control access. These patterns manage public versus protected resources across REST, GraphQL, and WebSocket endpoints.

What's the best way to prevent injection attacks and data leakage in API endpoints?

Prevent injection and data leakage by enforcing strict input validation, data sanitization, and secure data handling. These measures reject malicious payloads and protect sensitive information during API processing.

How do I set up rate limiting and throttling to protect API endpoints from abuse?

Protect API endpoints from abuse by configuring rate limiting, throttling, and abuse protection mechanisms. These controls guard endpoints against excessive traffic, prevent denial-of-service scenarios, and ensure fair resource allocation.

Do I need encryption in transit and at rest for secure API data handling?

Encryption in transit and at rest is required for secure API data handling. Encrypting data protects sensitive information from interception during transmission and prevents unauthorized access while stored.

Can I apply these API security best practices to WebSocket endpoints?

These API security best practices apply to WebSocket endpoints alongside REST and GraphQL. The patterns cover authentication, input validation, rate limiting, and threat protections specifically adapted for WebSocket connections.

Why does safe error handling matter for API security and compliance?

Safe error handling matters for API security because it prevents sensitive data exposure in error messages. Proper error handling supports compliance considerations and hardens APIs against information leakage during failures.