Other5 days live or about 30 hours self-paced (4 months access); 30 CPEs·$8,260 self-paced (live pricing varies by event); GIAC GAIPS attempt costs extra

SANS SEC545: GenAI and LLM Application Security (GIAC GAIPS)

3.9

Probably the most current AI application security syllabus I have seen from a big training brand, with real coverage of agents and MCP rather than just prompt injection demos. It is also more than eight thousand dollars. If your employer is paying, it is a good use of the budget. If you are paying, it is very hard to justify.

What We Liked

Covers agentic AI and MCP security properly, which most courses still skip
20 hands-on labs plus a capture-the-flag capstone
MLSecOps section on model serialization attacks and pipeline security is genuinely useful
GIAC GAIPS exam uses CyberLive, a VM-based practical format, not just multiple choice
SANS course books are excellent reference material after the course ends

What Could Be Better

$8,260 for the self-paced version, before the certification attempt
Prerequisites are broad: Linux, Git and CI/CD, containers, intro Kubernetes and AWS
Self-paced access lasts only four months
Much of the free material from OWASP, HTB and PortSwigger covers the attack side for a fraction of the cost

Detailed review

SEC545 is SANS's answer to the question every AppSec team has been asked since 2023: how do we secure the LLM features the product team just shipped? It runs as five days live or about 30 hours self-paced, worth 30 CPEs, with 20 labs and a CTF on the last day. The lead author is Ahmed AbuGharbia, and SANS lists Jon Zeolla and Viswanath Chirravuri among the instructors for scheduled runs. The five sections go from GenAI fundamentals and prompt injection, through securing GenAI applications with frameworks like LangChain, into a whole section on agentic AI and MCP security, then MLSecOps and the model lifecycle, and finally AI for security with the CTF. The agentic section is what sets it apart. Most AI security courses I have reviewed still treat the LLM as a chatbot with a text box.

Real deployments now give models tools, file access and credentials, and the attack surface is the tool layer. SEC545 spends real time there. The MLSecOps day on serialization attacks against model files and pipeline security is the other part I would point a platform team at. The matching certification is GIAC AI Platform Security, GAIPS. GIAC lists 54 questions, two hours and a 65% pass mark for versions released from late July 2026, delivered in CyberLive, which means you work in a virtual machine for part of the exam.

That is a better test than a pure multiple-choice paper. The attempt is priced separately from the course and adds roughly another thousand dollars. The obvious problem is cost. At $8,260 before the exam, SEC545 is priced for corporate training budgets. Compare it with SEC595, which is ML for security analysts rather than securing AI, and you will see SANS prices everything at this level.

If you are paying yourself, the HTB AI Red Teamer path, PortSwigger's free LLM labs and the OWASP Top 10 for LLM Applications will get you most of the attack-side knowledge. What you do not get from those is the defensive architecture and MLSecOps material, which is where SEC545 earns its keep. The prerequisite list is longer than SANS makes it sound. Linux shell, Git and CI/CD, VS Code, containers, basic Kubernetes and AWS all show up in the labs. If two or more of those are new to you, you will spend the labs fighting tooling instead of learning security. I give it 3.9.

Content is near the top of the field. Value for money is near the bottom.

[ final ]

The verdict.

Take it if you are the person who will be signing off on LLM applications and agents going into production and someone else is paying. Self-funders should start with the free OWASP material and a hands-on platform, then reconsider.