Sold by: SANS Institute
Deployed on AWS
Secure the full GenAI lifecycle, mastering hands-on strategies to defend LLMs, agents, and RAG-powered apps from development to deployment. Covers GenAI fundamentals, prompt injection attacks, vector database security, supply chain risks, MLSecOps, and secure hosting options across cloud and on-premises environments.
Overview
Secure GenAI applications in intensive 3-day format. Master hands-on strategies for defending LLMs, agents, and RAG systems.
Condensed version of SEC545 delivering core GenAI security content. Complete coverage of LLM security fundamentals through 11 hands-on labs.
Secure GenAI applications:
Fundamentals
- Understand LLM architecture
- Identify GenAI-specific risks
- Assess third-party AI risks
- Secure fine-tuning processes
Architecture
- Configure secure AI deployments
- Protect vector databases
- Secure AI agents
- Implement access controls
Operations
- Apply threat modeling
- Detect AI-specific attacks
- Respond to AI incidents
- Maintain compliance
18 CPE credits across 3 intensive days.
Highlights
- Secure LLM applications, RAG pipelines, and vector databases. Identify prompt injection attacks and model vulnerabilities. Apply security controls across GenAI operations. Integrate GenAI into existing security frameworks.
- 11 hands-on labs covering LLMs and Prompt Injection, Fine-tuning OpenAI Models, Compromising Vector Database, Safe Use and Moderation, AWS Bedrock, Pivoting from LLMs, Langchain Security, Model Serialization Attacks, and MLSecOps.
- Condensed 3-day format covering core GenAI security skills. Ideal for Application Security Engineers, Cloud Security Engineers, and SOC Analysts. Earn 18 CPE credits.
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Dimension | Description | Cost/12 months |
|---|---|---|
SEC545S - Single User | Single user license for AI - SEC545S: GenAI & LLM App Security (3-Day) | $5,250.00 |
Vendor refund policy
Refunds available within 30 days if course not accessed.
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