NEXT-GEN DEFENSE// AI SECURITYPCAIS (Parasym Certified AI Security Specialist)

AI Security & LLM Red Teaming Masterclass

Vulnerability Assessment, Jailbreaking, and Defensive Hardening for Generative AI Systems

Duration
8 Weeks
Workload
50+ Hours Specialized Labs
Learning Mode
Live Virtual Foundation Model Sandbox + Tool Calling Range
Credential
PCAIS (Parasym Certified AI Security Specialist)

Course Overview & Objectives

The Parasym Academy AI Security & LLM Red Teaming Masterclass is one of the world's first comprehensive professional training programs dedicated entirely to securing foundation models, agentic workflows, and generative AI deployments. As enterprises rapidly integrate Large Language Models (LLMs) into customer-facing portals, automated coding pipelines, and autonomous decision systems, the demand for qualified AI red teamers has exploded. Created by the AI Defense Division at Parasym Syndicate, this curriculum bridges deep neural network architectures with offensive cybersecurity. Students learn how to evaluate models against the OWASP Top 10 for LLMs, craft multi-turn jailbreaks using linguistic steganography, execute indirect prompt injections via poisoned RAG vector stores, exploit Model Context Protocol (MCP) tool integrations, and design resilient dual-LLM guardrail systems.

Why This Program Excels

First-Principles AI Red Teaming: Move beyond basic prompts to mathematical and semantic exploit chains
Agentic Tool Exploitation: Red team autonomous tool calling, MCP servers, and goal hijacking
Vector RAG Poisoning: Craft adversarial dense embeddings that manipulate semantic retrieval engines
Automated AI Fuzzing: Master PyRIT, GCG (Greedy Coordinate Gradient), and PAIR multi-turn fuzzers
Enterprise Guardrails: Deploy Llama Guard, NeMo Guardrails, and programmatic Policy Enforcement Points
PCAIS Certification: Audit a production-like autonomous enterprise AI agent in a 24-hour practical exam

Detailed Syllabus & Modules

6 Modules • Live-Fire Labs
  • Transformers, self-attention, and tokenization under the hood
  • Understanding the unified context window: Why instructions and data collide
  • The OWASP Top 10 for Large Language Model Applications (LLM01-LLM10)
  • NIST AI Risk Management Framework (AI RMF 1.0) and ISO/IEC 42001

Tools & Frameworks Mastered

PyRIT (Python Risk Identification Tool for Generative AI)GCG (Greedy Coordinate Gradient) & Automated Jailbreak EnginesLlama Guard 3, NeMo Guardrails & Custom Output ClassifiersModel Context Protocol (MCP) Inspector & DebuggerLangChain, LlamaIndex & Vector DBs (Chroma, Pinecone, Qdrant)Burp Suite for GenAI API endpoint interception
Noman Saifi

Noman Saifi

LEAD INSTRUCTOR

Founder & CEO, Parasym Syndicate • OSCP, CEH, CISSP, CREST Registered Tester

Veteran offensive practitioner with over a decade of combatting nation-state cyber threats, auditing critical banking infrastructure, and architecting AI safety red teaming.

Frequently Asked Questions