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tecnovy AI Suite

AI Risk Management

Not every AI risk deserves the same effort. A rare failure with serious consequences for the people affected weighs differently from a frequent one that does little harm. Only once likelihood and impact are weighed against each other can you decide which risk to reduce, transfer, avoid or knowingly accept. In AI Risk Management you make that call for an AI system, using the NIST AI RMF and ISO/IEC 23894.
Attendance certificate4.8/5 on ProvenExpert

What this module delivers.

Risk, audit, compliance and AI leads use tecnovy's AI Risk Management training to assess an AI system from technical to supplier risks and derive measures, owners and metrics. AI risks then run within the organisation's existing risk management.

How the training runs

Method
Case studies, risk workshops and templates
Basis
tecnovy curriculum built on NIST AI RMF and ISO/IEC 23894
Outcome
tecnovy certificate of participation, no examination

Dates & booking

Choose a date that fits

No public dates are scheduled yet.

New dates are published regularly. Join the waitlist or plan an in-house course for your team.

Request in-house training

Fit

Who this module is designed for

Typical roles

  • You work in risk management, internal audit or compliance and are asked to assess AI initiatives.
  • You are an AI officer or responsible for IT security and assess what risks an AI system creates.
  • You own an AI system as a product and have to justify its risks to management.

Prerequisites

No prerequisites

You can start right away. What you need: basic knowledge of AI, basic knowledge of risk management.

Consider instead Responsible AI For anyone whose question is fairness, transparency and human oversight: with bias testing, model cards and clear sign-offs.

Curriculum

AI Risk Management in Detail

Four parts: you survey the risks AI brings, work with the NIST AI RMF and ISO/IEC 23894, assess the risks of an AI system, and finally settle how they are controlled, monitored and built into enterprise risk management.

01The AI risk landscape

This part shows where the risks of an AI system come from.

  • Technical risks such as flawed decisions and data leakage
  • Legal risks up to regulatory breaches
  • Ethical risks such as discrimination
  • Supplier risks and dependence on vendors
02Frameworks

Here you get to know the two frameworks the course works with.

  • NIST AI RMF 1.0 with its functions Govern, Map, Measure, Manage
  • ISO/IEC 23894:2023 as guidance on AI risk management
  • How ISO/IEC 23894 relates to ISO 31000
03Assessing risks

In this part you assess the risks of a specific AI system.

  • Risk analysis for an AI system on a case study
  • Weighing likelihood against impact
  • Risk categories of the EU AI Act
04Controlling and monitoring

Finally you decide what happens to each risk you have assessed.

  • Measures: mitigate, transfer, avoid or accept
  • Responsibilities and metrics
  • Integration into enterprise risk management

Outcome

What you will be able to do afterwards

  1. 01

    You record the risks of an AI system systematically, from technical and legal through ethical to supplier risks.

  2. 02

    You apply the four functions of the NIST AI RMF, Govern, Map, Measure and Manage, to an AI system.

  3. 03

    You check your approach against ISO/IEC 23894 and show where the standard builds on ISO 31000.

  4. 04

    You carry out a risk analysis for an AI system and rate each risk by likelihood and impact.

  5. 05

    You place an AI system in the risk categories of the EU AI Act.

  6. 06

    You derive measures and justify which risks are mitigated, transferred, avoided or accepted.

  7. 07

    You set responsibilities and metrics for monitoring AI risks on an ongoing basis.

  8. 08

    You build AI risks into your organisation's existing risk management.

Offer scope

What is included

Included

  • Templates for AI risk assessmentsYou receive the templates and can use them for your own AI systems after the training.

Why tecnovy

What you get on top with us

01

No Slideshow, Hands-On!

Promised: no PowerPoint marathon. We work in groups, tie theory to practice, and you get real project examples from our experienced trainers plus the exchange with like-minded people.

02

Certificate Showroom

Get your certificate of participation and, if you have one, add your exam certificate from E-Learning. Fully automated, beautifully designed. Just for you, only at tecnovy.

03

Flexible Date Change

If you are not able to attend the course, you can rebook your training free of charge up to one week before the start of the training.

04

Attend Twice, Pay Once

You are welcome to attend the training online again within a year as a refresher.

05

Learn from Experts

We always guarantee you the use of didactically and methodically first-class qualified trainers who draw their knowledge from training experience as well as professional practical and project experience.

FAQs

Frequently asked questions

01How do you decide which AI risks to treat first?
By impact, likelihood and the resources available: that is how the NIST AI RMF 1.0 prioritises the treatment of documented AI risks. It lists mitigating, transferring, avoiding or accepting as possible responses, and in tecnovy's AI Risk Management training you justify that choice for the risks of a case study.
02What is the NIST AI RMF?
The NIST AI Risk Management Framework 1.0 of January 2023 is a framework for voluntary use from the US National Institute of Standards and Technology. It organises work on AI risks into the functions Govern, Map, Measure and Manage, which NIST says follow no fixed order. NIST is currently revising its framework (as of November 2026), and in tecnovy's AI Risk Management training you apply the four functions to an AI system.
03How do ISO/IEC 23894 and ISO 31000 relate?
ISO/IEC 23894:2023 gives guidance on risk management for AI, and ISO names the general risk management standard ISO 31000:2018 as the basis of its development. That 2018 edition is current and is being revised (as of November 2026). In tecnovy's AI Risk Management training you use both to connect AI risks to existing risk management.
04What part does the EU AI Act play in AI Risk Management?
The EU AI Act classifies AI systems by their risk and, in Article 9, requires a risk management system for high-risk AI systems. As of November 2026 the high-risk obligations apply from 2 December 2027 for Annex III systems and from 2 August 2028 for Annex I systems. In tecnovy's AI Risk Management training you place a system in the risk categories, but that does not replace a legal review of your system.
05Do I need technical knowledge for AI Risk Management?
No, tecnovy's AI Risk Management training does not assume in-depth technical knowledge. You should bring basic knowledge of AI and of risk management.
06How does AI Risk Management differ from Responsible AI?
tecnovy's AI Risk Management looks at every kind of risk in an AI system, technical, legal, ethical and supplier-related, and brings them into the organisation's risk management. Responsible AI goes deeper into fairness, transparency and human oversight, practising bias testing, model cards and sign-offs.
07Where do I go after AI Risk Management?
To go deeper into security risks, take tecnovy's AI Security & LLM Security training. It covers attacks on models, applications and agents, and the protective measures against them.
08Is there an examination or a certification at the end of AI Risk Management?
No, AI Risk Management is a tecnovy training with no examination and no certification. If you attend at least 80% of it, you receive the tecnovy certificate of participation.

What does your training at tecnovy look like?

AI Risk Management

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