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 from development through production with comprehensive hands-on training in LLM security fundamentals and advanced defense techniques.
What You Will Learn:
GenAI Security Fundamentals
- Understand LLM architecture, embeddings, and RAG systems
- Identify prompt injection attacks and malicious model risks
- Assess third-party supply chain vulnerabilities
- Secure fine-tuning processes and knowledge sources
Architecture and Deployment Security
- Configure AWS Bedrock security features
- Run local models securely
- Mitigate model hosting supply chain attacks
- Secure agentic AI and MCP server implementations
MLSecOps Integration
- Apply threat modeling with the MAESTRO framework
- Defend against model serialization attacks
- Secure MLOps pipelines and Airflow orchestration
- Implement data protections throughout the lifecycle
The 5-day version expands coverage of agents, MCP, and authentication security. Gain hands-on experience with AI threat modeling, manual model training using Hugging Face Transformers, and a redesigned Capture the Flag focused on GenAI infrastructure.
11 hands-on labs include LLMs and Prompt Injection, Fine-tuning OpenAI Models, Compromising Vector Database, Safe Use and Moderation, AWS Bedrock, Pivoting from LLMs, Compromising LLM Supply Chain, Langchain Security, Model Serialization Attacks, MLSecOps, and a Capture the Flag challenge.
Ideal for Application Security Engineers, Cloud Security Engineers, SOC Analysts, Incident Handlers, Threat Intelligence Professionals, Security Auditors, and Risk Managers.
30 CPE credits. 5 days of expert-led training.
Highlights
- Secure LLM applications, RAG pipelines, and vector databases. Identify prompt injection attacks and model vulnerabilities. Apply security controls across GenAI operations. Defend AI agents and MCP server implementations.
- 11 hands-on labs covering LLMs and Prompt Injection, AWS Bedrock, Compromising Vector Database, Model Serialization Attacks, MLSecOps, and a Capture the Flag challenge focused on GenAI infrastructure security.
- Ideal for security professionals defending AI applications. 5 days of expert-led training. Earn 30 CPE credits.
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Description | Cost/12 months |
|---|---|---|
SEC545 - Single User | Single user license for AI - SEC545: GenAI & LLMs App Security (5-Day) | $8,260.00 |
Dimensions summary
This listing offers one pricing option: a single user license for the AI - SEC545: GenAI & LLMs App Security (5-Day) course. You buy in units, where each unit covers one person's access to the training. To train more people, you add more units. Pricing scales directly with the number of licenses you purchase. There are no separate tiers or instance sizes to choose from. The five-day course delivers instructor-led training with hands-on labs covering generative AI and large language model application security.
Top-of-mind questions for buyers
One unit grants a single person access to the AI - SEC545: GenAI & LLMs App Security (5-Day) course. Each unit covers one named individual. You cannot share a single license across multiple people. To train several team members, buy one unit per person.
You buy one unit for each person you want to train. Cost scales directly with the number of units purchased. There are no tiers or instance sizes. The seller runs a separate group voucher program for bulk team purchases, so contact the vendor for team buying options.
The license covers the five-day SEC545 course on generative AI and large language model application security. It includes instructor-led training and 20 hands-on labs across 30 hours. The course carries a related GIAC certification path. Check the vendor for available in-person and online delivery formats.
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