Learn to Break
AI
Before an Attacker Does.
An intensive bootcamp for security professionals who want to master AI pentesting: prompt injection, LLM security, MCP exploitation and AI Red Teaming. Enterprise-grade labs, built with the same operational discipline we apply on our offensive security engagements in Israel.
Think Like an AI Attacker.
Modern attacks are no longer limited to applications. They target LLMs, AI Agents, MCP Servers, RAG architectures, AI-assisted development and autonomous workflows.
This Academy trains security professionals to understand, assess and exploit every layer of the modern AI attack surface.
The Enterprise Attack Surface Is No Longer the Same.
LLMs, AI Agents and MCP Servers are already running inside banks, insurers, government bodies and critical infrastructure — often without traditional security teams having the training to assess, attack or defend them.
How Our Team Attacks an Enterprise AI System.
This Is How Wide Your AI Attack Surface Already Is.
Every Model. Every Agent. Every Entry Point.
LLMs & Model APIs
GPT, Claude, Gemini and proprietary models embedded in critical business processes.
Every prompt is a potential attack surface if it isn’t validated or monitored.
Autonomous AI Agents
Systems that execute actions, transactions and decisions without direct human oversight.
A compromised agent can act with the same privileges as an employee.
MCP Servers
Protocols that connect AI models to tools, data and internal systems.
Misconfigured permissions expose access that no traditional firewall detects.
RAG Pipelines
Retrieval architectures that feed models with corporate data.
Poisoned data can manipulate model responses without leaving a trace.
Workplace Copilots
AI assistants for code and productivity used by your teams every day.
Shadow AI: ungoverned usage your security team isn’t auditing yet.
What Every Modern Pentester Must Master.
Jailbreaking & Model Manipulation
Master the techniques to bypass an AI model’s safety guardrails.
Prompt Injection
Manipulate AI behavior from within the conversation itself.
LLM Security
Protect the models your applications depend on today.
AI Agents
Assess autonomous systems that act without direct human oversight.
MCP Security
Assess the protocols that connect AI to your tools and data.
RAG Security
Secure the retrieval pipelines that feed models with untrusted data.
AI Red Teaming
Simulate real attacks against AI systems in production.
AI Data Exfiltration
Identify how an attacker extracts sensitive information through a model.
Attackers Are Already Testing These Techniques Against Real Systems.
Make Sure Your Team Gets There First.
Secterious — Israeli-Born AI Offensive Security