Training

In-house training designed with you.

In-house courses for companies. Whether the audience is an engineering team, compliance, legal or an executive committee, content, length, depth and format are agreed with you before we start.

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Who it's for

Designed with your team.

If your team is building or auditing AI systems and you need them to get up to speed in weeks, we'll put the course together with you. It's delivered by the engineer or auditor who's actively inside live projects — auditing, breaking or shipping — and you work on the systems or use cases most relevant to you, with failures and decisions seen in production.

Courses

Our courses.

FRM.01

AI security for development teams

Audience: Backend and platform engineers integrating LLMs into product.
Content: OWASP LLM Top 10 with live demos, secure prompting, threat modeling for RAG and agentic architectures, and security observability.

Take-away

Threat-modeling checklist applied to your concrete architecture.

FRM.02

Engineering AI systems in production

Audience: AI, data engineering and ML engineering teams.
Content: RAG pipeline design, retriever evaluation, multi-agent orchestration, observability and operational guardrails.

Take-away

Evaluation template and observability dashboard tailored to the team's system.

FRM.03

EU AI Act: classification and documentation

Audience: Engineering, compliance, legal and the executive committee working together.
Content: System classification, required technical documentation, evidence, controls and ownership. Built for companies with AI systems in use or development and an August 2026 deadline.

Take-away

Classification document signed by the organisation, audit-ready.

FRM.04

LLM red teaming for security teams

Audience: Security engineers, AppSec, internal red teams.
Content: Direct and indirect injection, jailbreaks, tool abuse, multi-turn attacks and context exfiltration, with reproducible PoCs.

Take-away

Reproducible red-team playbook over your endpoints and tools.

How we work

How each course is designed.

01 · DesignTailored to each client: Every course is designed around the client's case. Scope, length, depth and the balance between theory and hands-on work are agreed with you before we start.
02 · AdaptationBuilt around your real case: Content is adjusted to the audience's profile (technical or executive) and to the stack or system at hand. We ask for read access to the relevant documentation before the course.
03 · MaterialExercises and deliverable: Slides and, where it applies, a repository with exercises. Each course leaves one concrete deliverable the group takes away — checklist, template, playbook or classification document.

Let's talk about your AI system.

We respond within 24 – 48 business hours. We'll suggest a first call to understand your case.

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