Secure AI Development
Secure AI Development Guardrails
A focused program for teams that need AI assistance without weakening security, privacy, or review standards.
₩7,200,000 · 3 weeks · Hybrid Seoul workshop
Program description
Participants define permitted data classes, build redaction habits, and test assistant outputs against secure coding and compliance expectations. Security leaders leave with a practical control checklist for team rollouts.
Best fit: 8-18 people, intermediate level, focused on security review.
Responsible lead
Daniel Han
Security Advisor specializing in developer workflows and software risk reviews.
Included features
- Data classification exercises
- Prompt redaction patterns
- Model output review rubric
- Secure coding test scenarios
- Governance handoff notes
- Vendor evaluation worksheet
Implementation outcomes
- A practical AI risk register
- A secure prompt and review rubric
- A control checklist for team leads
Questions teams ask
Can we use our own repository and workflow data?
Yes. Teams can bring sanitized examples, internal process notes, or non-sensitive pull requests. We do not require access to production systems.
What is not included?
The bootcamp does not replace security review, legal review, or procurement approval for a new AI vendor. It gives your team the working practices and rollout artifacts to support those decisions.
How much engineering time is expected?
Most teams reserve two half-days for live sessions and three to five hours for implementation labs between sessions.
Participant notes
The data classification exercise changed the tone from fear to specific rules. We wanted one more example for mobile code, but the web scenarios were strong.
Seo-yun, Security Lead
The prompt redaction drills were practical and not theatrical.
Client in financial software