AI Coding Without Security Mistakes
Common security mistakes AI coding tools introduce, and the checks to run before shipping AI-generated code.
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Suggested mentor
Ajay Prajapat
AI Systems Architect
15+ years of experience · Ex-Apple
About mentor & skills Visit siteinnovatewithajay.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.
Learn this topic with a mentor
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What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Common security mistakes in AI-generated code: injection, weak auth and exposed secrets
- 2Why AI tools reproduce insecure patterns from their training data
- 3Reviewing input validation and output encoding
- 4Checking authentication, authorisation and session handling
- 5Dependency and secret-handling checks
- 6A pre-ship security checklist for AI-assisted code
Who it's for
- • Developers using AI coding assistants
- • Reviewers responsible for code quality
You'd leave with
- A security review checklist
- The ability to spot common insecure patterns
- Prompting habits that reduce security issues
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