
Master the offensive security techniques used to assess modern AI and LLM-powered applications. This hands-on course covers AI attack surfaces, prompt injection, jailbreaks, malicious MCP servers, tool abuse, RAG poisoning, data poisoning, model evasion, backdoors, and multi-agent security risks.
Gain practical experience identifying and validating AI security vulnerabilities through realistic labs and attack scenarios, while applying industry frameworks such as MITRE ATLAS and the OWASP Top 10 for LLM Applications. Designed for security professionals, penetration testers, AI/ML engineers, application security teams, and aspiring AI security researchers, AI-RTA builds the practical skills needed to conduct effective red-team assessments of AI systems.
Syllabus
- AI Red Teaming Fundamentals
- AI & LLM Foundations
- LLM & Agent Security
- RAG & Model Security
- Hands-on Labs & Case Studies
Security Education
OffSec
iNE
Antisyphon
EC-Council
Applied Network Defense
Kaspersky
Sektor7
CompTIA
TCM Security
BlackHat
13Cubed
Dark Vortex
Enciphers
Forty North
Cyber warfare Labs
Maltrak
Scorpio Software
Security Onion
Zero Point Security
SentinelOne
Altered Security
SpecterOps
Pentester Academy
CQURE
PluralSight
StationX
Cybr
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