VolkanSah/AI-API-Security-Best-Practices
The purpose of this document is to outline the security risks and vulnerabilities that may arise when implementing ai in web applications and to provide best practices for mitigating these risks.
Provides unified API security guidance for multi-provider LLM integrations (OpenAI, Claude, Gemini, etc.) with concrete code examples in PHP, Python, and Node.js. Covers OWASP Top 10 for LLMs including prompt injection, output handling vulnerabilities, and rate limiting strategies. Includes production-ready implementations for WordPress and TYPO3, with environment variable patterns and input/output sanitization best practices.
Stars
33
Forks
2
Language
—
License
—
Category
Last pushed
Jan 31, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/VolkanSah/AI-API-Security-Best-Practices"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
AgentSeal/agentseal
Security toolkit for AI agents. Scan your machine for dangerous skills and MCP configs, monitor...
Nebulock-Inc/agentic-threat-hunting-framework
ATHF is a framework for agentic threat hunting - building systems that can remember, learn, and...
cosai-oasis/secure-ai-tooling
The CoSAI Risk Map is a framework for identifying, analyzing, and mitigating security risks in...
HeadyZhang/agent-audit
Static security scanner for LLM agents — prompt injection, MCP config auditing, taint analysis....
oasm-platform/open-asm
Open-source platform for cybersecurity Attack Surface Management (OASM).