Drops mid-June

Agentic AI for Threat Hunting Hunting At Scale

Build the seven-system harness that makes agentic hunting actually work in production — from distillation through feedback loops.

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Join Waitlist — $399

$100 off · locked until launch day

Regular price $499

Why this course exists

Threat hunting has always been the most effective way to improve security posture. What's been holding it back is scale — one skilled hunter can only cover so much ground, institutional knowledge lives in people's heads, and alert pipelines trade false negatives for false positives.

Agentic AI removes that constraint, but only when the environment around the agent is engineered for it. Agents left unsupervised hallucinate correlations and waste context; the difference between a reliable hunting agent and one that produces confident nonsense is entirely in the harness engineering.

This course teaches you to design and operate that harness — the seven systems that compose into a production-grade agentic hunting architecture.

What you'll walk away with

A deep-dive on the architecture that makes agentic hunting scale. Not just theory — each module pairs the concepts with working examples you can run alongside the lessons, so you leave with both the understanding and the judgment to adapt it to your own environment.

Architecture-first thinking

The mindset shift from debugging prompts to engineering environments. You'll learn to see the harness, not the model, as where the leverage actually lives.

The three-way collaboration

Know what belongs in deterministic code, what belongs in agent reasoning, and what requires human judgment — with clean, defensible boundaries between all three.

A systematic way to scale

Extend one hunter's reach to cover what a team of manual hunters never could — without giving up interpretability, reproducibility, or the hunter's final say.

A reference you can own

Leave with a complete working harness you understand deeply enough to adapt, extend, and run against your own telemetry and environment.

How we teach

The principles that shape this course.

Principles over tools

Principles over tools

Tools change every few years. We teach the universals that stay with you.

Learn by doing

Learn by doing

Every module ends with hands-on exercises. You build real things, not toy examples.

Meet you where you are

Meet you where you are

Whether you're starting out or have years of experience, this course builds on what you already know and takes you further.

Make it your own

Make it your own

We show you the patterns. You adapt, deviate, experiment. The implementation is yours to shape.

More than a course

Every purchase includes access to the full ecosystem.

Working Repository

Configure, run, extend

Private Community

Defenders on the same journey

Live Q&A

Monthly sessions with direct access

Lifetime Updates

As the architecture evolves, so does the course

Syllabus

13 modules · 20–25 hours

01

Why Agents for Threat Hunting

The fundamental tension in alert-based security, why hunting is the right approach, and how agentic AI removes the scale constraint.

02

Harness Engineering

What a harness is, universal design principles, security-specific concerns, and the mindset shift from debugging the agent to debugging the environment.

03

Architecture Overview

The seven systems that compose into an agentic hunting architecture, how they fit together, and what breaks when each one is missing.

04

Distillation

Why raw telemetry breaks agent reasoning, and the five-stage distillation pipeline. Walk through a working pipeline against sample telemetry.

05

Context Engineering

The six context layers, delivery mechanisms, and when to use each. Configure context delivery for a hunting agent and observe how it shifts investigation quality.

What students say

"Faan's in-depth knowledge and his amazing way of explaining things in the KISS format makes complex topics genuinely accessible. I highly recommend his trainings and will definitely be attending more sessions."

Amarjit L.

Threat Emulation Lead

Faan Rossouw

Faan Rossouw

Threat Hunting Researcher · Educator · Builder

Faan is a threat hunting researcher and educator who has taught thousands of students how to find adversaries in network and endpoint telemetry. He sees the AI era as a genuine inflection point for threat hunting, and has built AionSec to empower defenders for this new aeon.

Frequently asked

Start building.

Hunt at scale — without losing the hunter. Your system is waiting.

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