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AI Security & Responsible AI Suggested first

How to Secure AI-Generated Code

A review process for catching security issues that AI-generated code commonly introduces.

Not scheduled yet — no date, time or fee fixed. The most-voted topic is hosted next.

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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 AIHow to SecureAI-GeneratedCodeFREE 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.

View mentor profile Visit innovatewithajay.com

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What this session would cover

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

  1. 1Why AI-generated code needs its own review focus
  2. 2Reviewing input handling and injection risks
  3. 3Checking authentication and access control
  4. 4Scanning dependencies AI added
  5. 5Using automated security scanning tools
  6. 6A review process that fits your workflow

Who it's for

  • • Developers using AI coding tools
  • • Code reviewers and tech leads

You'd leave with

  • A security review process
  • Tooling suggestions
  • Common issues to look for

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