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AI Security & Responsible AI

Secure AI API Integration

Practical steps for integrating AI APIs securely — keys, rate limits, and input handling.

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Ajay Prajapat

Suggested mentor

Ajay Prajapat

AI Systems Architect

15+ years of experience · Ex-Apple

About mentor & skills Visit site
TechlyUpAI SECURITY & RESPONSIBLE AISecure AI APIIntegrationFREE WEBINAR TOPIC · VOTE
Ajay Prajapat, AI Systems Architect

innovatewithajay.com

About the suggested mentor

Ajay Prajapat

AI Systems Architect

  • 15+ years of experience
  • Ex-Apple

AI Systems Architect with 15+ years of experience, including building production GenAI systems — RAG pipelines, AI agents, prompt engineering and GenAI architecture. His sessions are hands-on: expect real workflows, live builds and honest trade-offs, not slideware.

Skills & expertise

  • AI-assisted Development
  • Full-stack Development
  • AI Agents
  • RAG & MCP
  • System Design
  • Project Reviews
  • Prompt Engineering
  • GenAI Architecture

A suggested match for this topic. The trainer and session details will be confirmed when the webinar is scheduled.

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What this session would cover

Proposed outline — the mentor finalises the agenda once this topic is scheduled.

  1. 1Storing and rotating API keys securely
  2. 2Calling AI APIs from the server, not the browser
  3. 3Rate limiting and abuse prevention
  4. 4Validating and sanitising inputs
  5. 5Handling outputs safely before display or action
  6. 6Monitoring usage for anomalies

Who it's for

  • • Developers integrating AI APIs
  • • Teams launching AI features

You'd leave with

  • A secure integration checklist
  • Rate-limiting patterns
  • A monitoring plan