
OSAI — Advanced AI Red Teaming (AI-300)
Break the agent. Poison the pipeline. Pivot through the model.
OSAI is OffSec's AI Red Teamer certification — a 24-hour practical exam against an AI-enabled enterprise where you attack LLM agents, multi-agent protocols, RAG pipelines, embeddings, MCP tool surfaces and the infrastructure underneath. Macksofy's bootcamp pairs the official AI-300 course with the LearnToExploit Model Attack & Red Teaming lab track, so every attack class is practised before exam day.
What is the OSAI certification?
The OffSec AI Red Teamer (OSAI) is OffSec's certification for attacking AI-enabled systems, earned through the 24-hour practical exam of the AI-300 Advanced AI Red Teaming course. It covers AI reconnaissance, LLM agents, multi-agent and A2A protocols, RAG pipelines, embeddings, MCP tool surfaces, AI/ML supply chain and AI infrastructure. Macksofy runs an OSAI exam-prep bootcamp in India built around the LearnToExploit Model Attack & Red Teaming lab track.
Outcomes — concrete, measurable.
Every capability you walk away with, mapped to the cybersecurity domains and the career roles they unlock in India + UAE.
Fingerprint an AI target: model, tools, retrieval, guardrails and agent topology
- AI Red Teamer₹20–40 LPA
- AI Security Engineer₹18–35 LPA
Is OSAI right for you?
- OSCP / OSEP holders moving into AI red teaming
- Penetration testers asked to assess LLM and agent features
- AI engineers who want to understand adversarial threats to their own systems
- Security engineers defending AI infrastructure
What we assume you know
- OSCP or equivalent hands-on penetration testing experience (OffSec's recommendation)
- Comfort with Linux, Windows, networking and basic scripting
- No prior AI / ML background required — helpful, not mandatory
13 modules. 65-hour OffSec course + 24-hour exam.
Search modules and topics, and switch between Split and Track views to see how every module flows into the next.
Module 01 · Introduction to Red Teaming AI Systems
- 01How LLM applications are assembled
- 02Why instructions and data share one token stream
- 03Scoping and rules of engagement for AI targets
Module 02 · Reconnaissance for AI Targets
- 01Model and provider fingerprinting
- 02Capability, tool and retrieval enumeration
- 03Guardrail and filter mapping
Module 03 · Attacking AI Agents
- 01Direct and indirect prompt injection into agent loops
- 02Tool-call hijacking and excessive agency
- 03Agent memory attacks
Module 04 · Attacking Multi-Agent Systems & the A2A Protocol
- 01Agent discovery and registration abuse
- 02Rogue-agent routing
- 03Cross-agent trust and task injection
Module 05 · Exploiting RAG Pipelines
- 01Retrieval access-control bypass
- 02Stored injection through indexed documents
- 03Knowledge-base poisoning
Module 06 · Attacking Embeddings
- 01Embedding inversion (vec2text)
- 02Vector-store exfiltration
- 03Similarity-search manipulation
Module 07 · Attacking Model Context Protocol & Tool Surfaces
- 01MCP server enumeration
- 02Tool poisoning and description injection
- 03Over-permissioned tool chains
Module 08 · Supply Chain Attacks on AI/ML Systems
- 01Malicious model artefacts (pickle)
- 02Tokenizer and model tampering
- 03Module hijack in ML pipelines
Module 09 · AI Infrastructure & Deployment Exploits
- 01Cloud IAM abuse from AI services
- 02Kubernetes RBAC and container escape
- 03GPU and inference-server exposure
Module 10 · Threat Modeling for AI-Enabled Targets
- 01Trust-boundary inventory
- 02MITRE ATLAS and OWASP LLM Top 10 mapping
- 03Prioritising attack paths
Module 11 · Assembling the Pieces — Capstone Red Team Engagement
- 01End-to-end chain: recon → app exploit → platform → persistence
- 02Evidence for non-deterministic findings
- 03Exam-style reporting
Macksofy bootcamp · LearnToExploit Model Attack & Red Teaming lab track
- 0112 modules and 9 browser labs mapped to the AI-300 modules
- 02Jailbreak, output-handling and system-prompt extraction classes OSAI does not teach
- 03Full-engagement reporting module
Macksofy bootcamp · 24-hour mock exam + report review
- 01One timed mock engagement in an AI-enabled lab
- 02Mentor review of the written report
- 03Time-allocation playbook for the proctored exam
The same toolkit our consultants use on real engagements.
Not academic exercises. The tools below are exactly what Macksofy consultants run on paying client engagements every week — so the muscle memory you build in class carries straight into your first job.
What roles open up after you complete this.
| Role | Salary band | Experience |
|---|---|---|
| AI Red Teamer | ₹20–40 LPA | 4+ years |
| AI Security Engineer | ₹18–35 LPA | 3+ years |
We don’t promise jobs. We open doors.
Macksofy's placement desk works directly with hiring partners across India and the UAE. Resume coaching, mock interviews and direct intros included.
- 1:1 resume + LinkedIn rewrite with our hiring desk
- Mock interviews with active practitioners
- Direct intros to BFSI, fintech and Big-4 partners
- UAE placement support (Dubai, Abu Dhabi)
Things students ask before enrolling.

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Macksofy delivers this work to the following standards and regulator requirements. Definitions and controls are sourced from the issuing bodies below.
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- CERT-In Empanelled
- EC-Council ATC
- Thousands of professionals trained
- India + UAE engagements
