One-day intensive
Focused frontal lecture in the morning and realistic hands-on lab work in the afternoon.
Penchuk Cyber
Secure Developmentin the Age of AI
One-day intensive training for developers using AI coding assistants
AI coding assistants like Cursor, Claude Code, and Copilot are transforming software development while introducing new attack surfaces, trust boundaries, and security failures.
This hands-on training equips developers to use AI tools securely, critically, and responsibly without sacrificing productivity.
Secure Development training for AI-assisted teams
Adversarial practice
Developers work inside a vulnerable AI-generated code repository and learn to detect hidden risks.
AI-era SDLC
Teams learn how to integrate AI into secure delivery with practical human-in-the-loop controls.
Rule packs
Participants leave with enforceable security rules for AI IDEs and safer development workflows.
Agenda and Syllabus
The course combines security-driven AI development principles with a realistic adversarial lab.
Morning Session - Frontal Lecture
Security-Driven AI Development
- The new developer role: architect, verifier, and security gatekeeper
- Why AI-generated code is not secure by default: the secure vs correct gap
- OWASP LLM Top 10 and AI-era attack patterns: prompt injection, RAG risks, MCP threats
- Secure prompt engineering and AI personas for production code
- Integrating AI into the secure SDLC with human-in-the-loop controls
Afternoon Hands-On Lab
Realistic Adversarial Scenario
- Take ownership of a vulnerable, AI-generated code repository
- Detect OWASP Top 10 and LLM Top 10 vulnerabilities using AI IDEs
- Identify hidden malicious instructions and prompt injection vectors
- Build a new AI-powered feature in a polluted repository environment
- Implement secure input validation, output handling, and least-privilege controls
- Deploy safely under real-world constraints
Key Outcomes
Train your developers to use AI securely.
Confident, secure use of AI coding assistants
Ability to detect prompt injection and AI-era supply-chain risks
Practical application of OWASP LLM Top 10
Creation of enforceable security rule packs for AI IDEs
Integration of AI into existing SSDLC without increasing risk
Delivered by Sergei Penchuk
Founder and CEO, Penchuk Cyber
Sergei Penchuk leads Penchuk Cyber, drawing on his experience as former CTO, CISO, and seasoned tech founder. He is a recognized leader in cybersecurity and artificial intelligence, with decades of commercial and military experience protecting organizations worldwide.
Sergei has architected AI-driven defense solutions and understands the unique challenges fast-growing companies face.
Learn--> Practice-->Review--> Ship Securely
Download the One-Pager
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