AI-generated code passes tests, clears reviews, and breaks in production — missing security controls, leaking secrets, wide-open permissions. Your team needs to practice catching what AI misses before production becomes the classroom.
Copilot generates an API endpoint. Engineer approves the PR. SQL injection, hardcoded secrets, no rate limiting. AI optimizes for "make it work" — your team ships it because they've never seen the secure version.
PR review time increased 91% since AI adoption. Seniors now validate AI output instead of building. Teams feel 20% faster but are actually 19% slower.
Passes tests. Clears review. Breaks under load. Memory leaks. Race conditions. 60% of AI code faults are silent — they compile, pass tests, and fail in production.
Your team can't secure what they've never practiced configuring. The average breach takes 207 days to detect. By then it's not a security issue — it's a lawsuit, a compliance violation, and a headline.
Malicious README contains prompt injection. Copilot suggests compromised code. Engineer approves. Commits. Deploys. No alerts.
Credentials leaking to external server. Rate-limited to avoid detection. Monitoring sees normal traffic. Breach invisible.
Customer reports unauthorized access. Forensics trace to AI-generated commit. "Copilot suggested it. It looked fine."
67% of prompt injection attacks go undetected for 72+ hours. Your team ships AI-generated pull requests every week. How many contained a hidden instruction?
Your team shouldn't learn production security by breaking production. They should practice in environments that feel real — and fail safely.
No installs. No downloads. No impact to company networks.
Pre-configured to mirror real production challenges.
And build the muscle memory that slides and videos can't deliver.
We're onboarding a small group of engineering teams for early access. Two fields. Thirty seconds. We'll be in touch.
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