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Security Deep Dive Guide
Secure your AI systems in production with the industry-standard OWASP LLM Top 10 framework. Master prompt injection defense (direct and indirect), enterprise-grade secrets management beyond .env (HashiCorp Vault, cloud KMS, rotation), input/output sanitization, PII protection, and AI-specific security testing. Designed for AI Engineers with deployed systems who need to harden them against AI-native threats. 8 modules, real breach case studies, and a fully secured AI system as your capstone project.
- 64
- lessons
- 8
- modules
- English · Spanish
- available in
- Yes
- certificate
- Free
- access
Outcomes
What you'll be able to do
- Apply the OWASP LLM Top 10 2025 framework to your AI architecture and prioritize mitigations
- Defend against direct and indirect prompt injection (including RAG and document poisoning)
- Implement enterprise-grade secrets management with HashiCorp Vault or cloud KMS (AWS, GCP, Azure)
- Configure API key rotation, audit trails, and least-privilege access for LLM credentials
- Sanitize and validate AI inputs/outputs to prevent improper output handling (LLM05)
- Detect and redact PII in LLM inputs and outputs to prevent sensitive information disclosure
- Conduct AI-specific penetration testing with adversarial prompts and automated security checks
- Integrate all defense layers into a fully secured AI system with security deployment checklist
Before you start
What you need to bring
It's for you if...
- AI Engineers with production-deployed systems (chatbots, RAG, agents) who need to harden them against AI-native threats
- Developers responsible for compliance and security in AI applications processing sensitive data
- Tech leads preparing teams to apply OWASP LLM Top 10 and implement AI security processes
- Security-conscious engineers who want to differentiate with AI-specific security expertise
- Teams transitioning AI prototypes to production with enterprise security requirements
Requirements and materials
- Production Best Practices Guide (#13) completed: guardrails basics, testing, structured logging
- Python intermediate-advanced (OOP, type hints, Pydantic)
- AI systems deployed in production (REST APIs, RAG, agents)
- Familiarity with FastAPI or similar
- Basic notion of threat modeling and security concepts
Content
The syllabus, module by module
Open any of them to see its lessons.
- 1. Introduction: OWASP LLM Top 10 Deep Dive
- 2. LLM01: Prompt Injection
- 3. LLM02: Sensitive Information Disclosure
- 4. LLM03 and LLM04: Supply Chain and Data Poisoning
- 5. LLM05 and LLM06: Improper Output Handling and Excessive Agency
- 6. LLM07 and LLM08: System Prompt Leakage and Vector/Embedding Weaknesses
- 7. LLM09 and LLM10: Misinformation and Unbounded Consumption
- 8. Project: OWASP Mapping Audit
- 1. Introduction: Prompt Injection — Attacks & Defenses
- 2. Direct Prompt Injection
- 3. Indirect Prompt Injection
- 4. Defense Layer 1: Input Validation and Sanitization
- 5. Defense Layer 2: Output Filtering and Validation
- 6. Defense Layer 3: Instruction Hierarchy and System Prompt Hardening
- 7. Defense Layers 4-5: Sandboxing, Isolation and Monitoring
- 8. Project: Injection Defense Pipeline
- 1. Introduction: Data Privacy & PII Protection
- 2. LLM02 in Detail: Sensitive Information Disclosure
- 3. PII Detection: Patterns, Regex, and Presidio
- 4. PII Redaction: Before and After the LLM
- 5. Data Minimization
- 6. Retention Policies and Encryption
- 7. Compliance Basics: GDPR, CCPA, and AI
- 8. Project: PII Protection Layer
- 1. Introduction: Capstone Project — Secured AI System
- 2. Integration Architecture: The Complete Flow of a Secure Request
- 3. Closing the Security Audit Gaps
- 4. Security Deployment Checklist
- 5. Incident Response Runbook
- 6. Documenting Security Decisions
- 7. Testing the Complete System
- 8. Project: Secured AI System
Where it fits
This guide is part of something bigger
It's studied inside these programs, with support and dates.
Common questions
What people usually ask
No limit. It's a free guide: come in whenever you like, as often as you like.
No. Modules run from easier to harder, but you can jump to the one you need. Progress is saved per lesson.
Whatever is needed is listed under “What you need to bring”, above. If nothing is listed there, you can start from zero.
In the Club's WhatsApp group, and every two weeks there's a live with an instructor where questions get worked through.
Yes. It's issued automatically once you finish every lesson, with a verifiable code you can share on LinkedIn.
No. This guide is self-paced with no dates. The bootcamp is live, by cohort, with work someone reviews.
Start whenever you like
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