Understand the System
Know how the model, context, tools, and runtime work together.
Map the trust boundaries before you automate the work.[ AI FOR CYBER OPERATIONS ]
Become the AI operator.
Ship verified AI-augmented security work your team can stand behind.
A founding cohort of five practitioners builds the operator skill set on real engagements: scoped agents, controlled workflows, verification as a habit. You leave with a toolkit you run weekly and a capstone review that proves the capability.
Five seats. Co-builders, not an audience.
The workflow, with human judgment in the loop
$ hacktive agent run --sandbox isolated- Plan
$ plan --goal "triage sample lab findings"Reviewed. Define the objective and the evidence needed. - Context
> context: authorized lab; read-only evidenceReviewed. Establish the scope, constraints, and relevant data. - Sandbox
> sandbox: isolated runtime; scoped permissionsReviewed. Isolate execution and limit permissions. - Agent
> agent: propose investigation stepsReviewed. Let the agent propose a bounded sequence of work. - Tools
> tools: correlate sample evidenceReviewed. Use scoped tools to inspect the sample evidence. - Review
> review: inspect assumptions and tool boundariesReviewed. Challenge the assumptions and verify the outputs. - Gate
> gate: human approval requiredReviewed. Keep consequential decisions behind human approval. - Result
> result: reviewed draft; no external actionReviewed. Keep the evidence and the reasoning behind the result.
Reviewed
- Plan
- Execute
- Validate
- Human review
- 10+
- Years in cybersecurity
- 250+
- Penetration tests
- OSCP
- Certified
- Hands-on
- Community educator
Simon Nolet’s professional background. Workshops and challenge design at Hackfest and NorthSec.
[ 01 // A BETTER WAY TO LEARN ]
The gap isn’t tools. It’s operators.
Copying prompts isn’t an engineering strategy. Learn how to design workflows, evaluate outputs, secure execution environments, and understand where humans must remain in the loop.
Build Real Workflows
Connect AI to useful security tasks with clear inputs and constraints.
Work through implementations, decisions, and failure modes.Validate Everything
Treat model output as something to test and investigate.
Use evidence, repeatable checks, and human review.[ 02 // WHAT YOU CAN BUILD ]
From AI experimentation to reliable cyber workflows.
Develop the technical understanding to build useful systems and recognize the risks that come with them.
AI Agents for Cyber Operations
Build agents that can work through a security task within a clearly defined scope.
- AI-assisted investigation
- Workflow orchestration
- Tool calling
- Structured planning
- Validation and reporting
Secure Agent Infrastructure
Understand what your agent can access, where it runs, and how to contain its actions.
- Sandboxed execution
- Locally hosted models
- Secrets isolation
- Network boundaries
- Runtime permissions
Adversarial AI Security
Examine how AI systems can be manipulated and where their trust assumptions break down.
- Prompt injection
- MCP security
- Tool misuse
- Trust boundary failures
- Agent threat modeling
Engineering with AI
Use AI throughout development while keeping implementation decisions and validation under review.
- Plan → Implement → Validate
- AI-assisted development
- Automated testing
- Adversarial review
- Evidence-based validation
- Human approval
[ 03 // THE PROGRAM ]
The Founding Cohort.
The full AI-operator program, delivered live to five practitioners. You don’t watch a finished curriculum — you shape it while running it.
Modules 01–04 cover the whole engagement arc with AI in the loop: recon and attack surface, pentest labs, automation and tooling, reporting and capstone.
Why five
Direct access, a vote on the curriculum, and a reviewed capstone only exist at this size. The intimacy is the offer — so the cohort is capped at five. When the fifth seat fills, it fills.
The capability guarantee
Complete the labs in your first month. If you can’t run an AI-augmented workflow on your own environment — with verification built in — we keep working with you one-on-one until you can.
Founding terms and price are shared on the waitlist page.
$ cat founding-cohort.manifest
- 01the-programRecon → labs → automation → capstone: the full arc
- 02operator-toolkitTemplates, prompts, and scripts you run weekly
- 03resetting-labsPractice environments on demand. No setup.
- 04direct-access†Weekly call and async answers, while the room is five
- 05co-builder-vote†You vote module order, labs, and tooling focus
- 06capstone-review†Your workflow, reviewed. Proof you can show
- 07founding-lockFounding terms locked for life. Future modules included.
- 08the-communityThe room persists after the program ends
† only possible while the cohort is five
[ 04 // PRACTICAL RESOURCES ]
See the work. Understand the decisions. Build it yourself.
Explore practical demonstrations and technical experiments on the Hacktive Education YouTube channel.
Agent architecture
L'IA en pratique : Automatiser la cybersécurité tout en protégeant ses outils d'IA
A conference talk on applying AI to cybersecurity while considering the security of the tools themselves.
QuebecSec 2026 · Hackfest Communication
Watch talkTopic preview
Applied workflows
AI-Assisted Cybersecurity Workflows
Follow how context, tool use, and verification fit into practical security work.
Explore tutorials
Local infrastructure
Utiliser l'IA localement - Comment garder le controle de vos données! (Simon Nolet)
A conference talk exploring local AI use and the importance of keeping control of your data.
Hackfest 2025 · Hackfest Communication
Watch talkTopic preview
Security engineering
Testing and Securing AI Agents
Examine failure modes, adversarial inputs, and the evidence needed to evaluate agent behavior.
Explore tutorialsConference talks link to published recordings. Topic previews describe areas to explore on the YouTube channel.
[ 05 // BUILD TOGETHER ]
The community is where operators start.
Join cybersecurity practitioners exploring how to integrate AI into real work. Share experiments, ask technical questions, compare approaches, and learn through practical demonstrations.
- Ask technical questions with context.
- Share what you built and what you learned.
- Compare approaches with other practitioners.
- Explore practical demonstrations and experiments.
Explore the community on Skool before you join.
The kind of conversation we want to have
How would you isolate secrets when an agent calls local tools?
Technical questions. Concrete constraints. Approaches you can examine.
Start with the trust boundary. Scope tool permissions, keep credentials outside the model context, and verify what the runtime can reach.
Illustrative example
[ 06 // YOUR NEXT STEP ]
Choose how you want to learn.
Go straight to the founding cohort, start free in the community, or discuss practical training for your team.
The destination
The Founding Cohort
Five practitioners co-build the AI-operator program with Simon — live modules, the Operator’s Toolkit, and a capstone review that only exist at this size.
- Modules 01–04 across a full engagement arc
- The Operator’s Toolkit you keep and extend
- Direct access while the room is five
- A capstone review you can show an employer
Join the Waitlist
Founding terms shared on the waitlist page.
Step one
Free Community & Tutorials
Start with practical demonstrations and a community of people exploring AI for cybersecurity.
- Public tutorials on YouTube
- Free community on Skool
- Technical questions and shared experiments
Join the Free Community
A place to start building your understanding.
Train your team
Practical AI for Cyber Teams
Discuss hands-on training built around the security workflows and questions your team needs to work through.
- Applied cybersecurity workflows
- Agent security and risk management
- Repeatable engineering methods
Let’s Discuss Your Team
Start with a conversation about your team’s goals.
Simon NoletFounder, Hacktive Education
[ 07 // BUILT BY A PRACTITIONER ]
Cybersecurity experience. Applied to the next generation of tools.
Technical depth, practical teaching, and a focus on the decisions that matter.
I’m Simon Nolet, founder of Hacktive Education. After years of hands-on offensive security work and teaching practitioners, I’m focused on helping cybersecurity professionals use AI to build better workflows, understand their tools, and keep security at the center of what they create.
My teaching experience includes workshops and challenge design at Hackfest and NorthSec. I bring the same practical approach to AI: understand the system, work through the implementation, and verify the result.
- 10+ years in cybersecurity
- 250+ penetration tests
- OSCP certified
- Hands-on community educator
[ 08 // TEAM ENABLEMENT ]
Help your security team move from AI experimentation to practical execution.
Hands-on workshops designed around real cybersecurity workflows. Learn to build AI-assisted systems, assess their risks, and develop approaches your team can actually apply.
- Build a working AI-assisted workflow.
- Understand and manage agent security risks.
- Develop repeatable methods your team can apply.
Start with your environment, your constraints, and the work you want to improve.
Talk through your team’s goals
Illustrative example