api-security-best-practices

Apply security patterns for authentication, authorization, and data protection to APIs.

Updated Mar 17, 2026
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npx skills add https://github.com/HemantSudarshan/Dhumichatbot --skill api-security-best-practices-hemantsudarshan
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Skill: api-security-best-practices
Source: https://github.com/HemantSudarshan/Dhumichatbot/tree/main/skills/05-secure/api-security-best-practices
Command: npx skills add https://github.com/HemantSudarshan/Dhumichatbot --skill api-security-best-practices-hemantsudarshan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Builds secure APIs by providing concrete patterns for authentication, authorization, input validation, rate limiting, data protection, and security testing to prevent common API vulnerabilities.

Core Features & Use Cases

  • Authentication & Authorization: guidance on selecting and implementing JWT, OAuth 2.0, or API keys, plus RBAC and secure session management.
  • Input Validation & Sanitization: enforce strict schema validation and input sanitization to prevent injection attacks.
  • Rate Limiting & Throttling: design rate limits per endpoint or user to mitigate abuse and DDoS.
  • Data Protection & Security Headers: enforce TLS usage, encryption at rest, and secure headers (Content-Security-Policy, HSTS, etc.).
  • Security Testing: include testing strategies for authentication, authorization, and common vulnerabilities per OWASP API Top 10.
  • Use Case: when securing an internal REST API exposed to mobile clients, apply these patterns to reduce risk and ensure compliance.

Quick Start

Turn on token-based authentication with RBAC, enable rate limiting, and apply security headers to your API.

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 against common vulnerabilities?

Securing REST and GraphQL APIs involves applying repeatable patterns for authentication, input validation, and rate limiting to prevent common vulnerabilities. This approach ensures strict schema validation and robust data protection across backend microservices.

What is the best way to implement JWT and OAuth 2.0 authentication for microservices?

Implementing JWT and OAuth 2.0 authentication requires selecting appropriate token mechanisms and combining them with RBAC. This secures microservices by enforcing strict session management and authorization rules across exposed API endpoints.

How do I prevent injection attacks using input validation and sanitization?

Preventing injection attacks requires enforcing strict schema validation and input sanitization on incoming API requests. By validating data formats against defined schemas before processing, you block malicious payloads from reaching your backend systems.

Does this API security guidance apply to internal APIs exposed to mobile clients?

Yes, this API security guidance directly applies to internal APIs exposed to mobile clients. Applying these security patterns, including TLS enforcement and rate limiting, reduces risk and ensures compliance when external mobile applications consume services.

How do I apply rate limiting and security headers to mitigate API abuse?

To mitigate API abuse, design rate limits per endpoint or user to prevent DDoS, and configure security headers like Content-Security-Policy and HSTS. This combination throttles excessive traffic while enforcing client-side browser security protections.

How do I test APIs against the OWASP API Top 10 during an audit?

Testing APIs against the OWASP API Top 10 during an audit involves executing targeted security testing routines for authentication, authorization, and data protection flaws. This identifies common vulnerabilities by validating security configurations and schema enforcement.