GIVE US 60 MINUTES AND WE'LL TEACH YOUR DEVSHOW TO SECUREAI-GENERATED CODE
AI is accelerating how code is written, but not how it’s reviewed.
That gap is where risk grows.
- How AI-generated code introduces new vulnerability patterns
- What traditional review pipelines miss
- How attackers exploit AI-assisted logic
- How to adopt AI securely, without slowing development
WHY THIS MATTERS NOW
- 70% of developers use AI code generation
- Organizations still rely on security processes built for manual coding
- Regulators are beginning to scrutinize AI usage in SDLC
- The more AI-generated vulnerabilities are introduced into production
- The more expensive it becomes later to fix them
The teams that adapt will move fast and safely.
The teams that don’t will eventually learn the hard way.
THE RISK YOU DON’T SEE... YET
The danger is vulnerable code that works.
AI models are trained on the public internet, where insecure code is everywhere.
- ✔Code that runs
- ✔Code that satisfies the prompt
- ✔Code that looks correct
- ✘Proper authorization
- ✘Business logic integrity
- ✘Secure dependency selection
- ✘Architectural consistency
Productivity will rise. But so will the risk of introducing vulnerabilities
One insecure snippet can expose your entire stack
AI adoption is inevitable...
Secure adoption has to be intentional.
LIVE DEMONSTRATION: WE BUILD IT. THEN WE BREAK IT.
This is not a theoretical presentation.
In under 5 minutes, we generate production-style code using AI. Then we exploit the vulnerabilities it introduces, live.
We show developers:
- What slips past traditional SAST tools
- How attackers think
- How developers can prevent the attacks immediately
WHAT YOUR DEVELOPERS WILL WALK AWAY WITH
- A clear understanding of how AI introduces subtle security flaws
- Practical techniques to prompt AI more securely
- A checklist for reviewing AI-generated code
- Awareness of common vulnerability patterns introduced by AI
- A framework for safe AI-assisted development
WHY BRING THIS TO YOUR TEAM?
If you're a CTO or CISO, this session will help you:
- Let developers use AI safely, without banning the tools
- Reduce the risk of "shadow AI" in your codebase
- Get security and engineering on the same page
- See where AI-generated code may introduce vulnerabilities
- Stay ahead of audit and compliance concerns
- Show leadership that AI is being used responsibly
GOVERNANCE WITHOUT KILLING SPEED
The role of security is not to slow production or create friction.
The role of security is to assist engineering teams.
- ✘Slows releases
- ✘After-the-fact audits
- ✘Dev pushback
- ✔Built into workflow
- ✔Real-time guardrails
- ✔Dev-aligned
- No AI bans
- No workflow disruption
- No additional PR bottlenecks
- No new tooling required
THIS IS HOW YOU SCALE AI ADOPTION WITHOUT SCALING RISK.
THE SAFER™ FRAMEWORK: A SYSTEM FOR SECURING AI-GENERATED CODE
Most conversations about AI coding risk stop at "be careful."
We give your developers a system.
SAFER™ is a mental framework that helps developers catch what AI misses most: business logic flaws.
AI writes code that follows the prompt.
It does not understand:
- Who should actually have access
- Whether a user owns the data they’re modifying
- Your business rules and edge cases
- Context that isn’t explicitly written in the prompt.
SAFER™ trains developers to:
- Ask the right security questions every time
- Spot logic flaws AI tends to overlook
- Review AI-generated code with a security mindset
- Prompt AI more securely from the start
THE RESULT: developers who validate AI-generated code like security engineers, not passive acceptors.
YOUR TEAM WILL WALK AWAY WITH A FRAMEWORK THEY CAN APPLY IN CODE REVIEWS STARTING THE NEXT DAY.
YOUR HOST
Imed Bounab
- 8+ years of experience in penetration testing
- Experienced web developer
- Advised CAC 40 security teams
“I help engineering teams adopt AI confidently, so they can move fast, ship features, and know the code they’re merging won’t become tomorrow’s incident.”
THEY TRUST US
NOT READY TO SCHEDULE?
Start with the diagnostic.
→ How secure is your team’s AI-generated code?
Answer 12 short questions and receive a snapshot of your AI coding risk exposure in under 5 minutes.
Low friction. Immediate insight.
AI Is Not Replacing Developers.But It Is Raising the Bar for Them.
AI is accelerating development.
That acceleration comes with new vulnerability patterns: subtle, scalable, and often invisible to traditional review processes.
The organizations that thrive won't be the ones that restrict AI.
They'll be the ones that adopt it deliberately.
- Secure AI usage, not blind experimentation
- Structured enablement, not reactive patching
- Confident acceleration, not hidden exposure
If AI-assisted development is already happening inside your teams, the right time to address it is now.
Schedule this session for your developers and move from uncertainty to structured action.
- FREE
- 60-minute live session
- Designed for engineering teams
- No preparation required
- Delivered virtually
- Includes Q&A
Live demonstration.
No cost.