Course · Artificial Intelligence

Safe with artificial intelligence

AI can write, speak and call with your director's voice. We'll teach your team what to trust, what not to put in AI tools, and how to set rules that people will follow.

Human face with red scanning grid as an illustration of deepfake and AI abuse
For whom Management, authorities, companies Format Practical course Topics Deepfake, data leak, rules

Voice and video

a deepfake is created by an attacker in minutes

Data leak

what the team puts into the chatbots

Rules

short and sustainable

Verification

second channel instead of intuition

Rules for AI must be short and sustainable

Human face with red scanning grid as an illustration of deepfake and AI abuse AI risks

Practical impact

When voice and image can lie, a proven procedure must decide.

Artificial intelligence it changes what we can believe. From the risks deepfake, data leakage and generated content, we will make rules in the course that the team can use every day.

  1. 01

    What doesn't belong in AI

    We will set clear rules for personal data, contracts, internal documents and school data.

  2. 02

    What not to believe automatically

    Voice, video or urgent email is not enough. The team learns to authenticate with a second channel and stop the fake authority.

  3. 03

    How to put the rules into practice

    Short procedure for management, teachers, office or company: allowed tools, prohibited inputs and output control.

What you will learn

What AI can do today

01

What AI can do today

Generated texts, voices, photos and video. We'll show examples of what can be made in minutes and why it changes work with confidence.

Data leakage via AI tools

02

Data leakage via AI tools

What employees put into chatbots and translators: personal data, contracts, internal documents. How to determine what doesn't belong in AI.

Deepfakes and fraudulent scenarios

03

Deepfakes and fraudulent scenarios

Fake director's voice, fake video conference, urgent payment. What these attacks look like and how to stop them is a process, not an intuition.

Rules for AI in the institution

04

Rules for AI in the institution

Short internal rules for people to follow: tools allowed, inputs forbidden, output validation.

AI and pupils

05

AI and pupils

Generated content as a tool for cyberbullying and fraud in the school environment. What the school should be able to recognize and how to react.

Practical verification

06

Practical verification

Simple procedures to verify what you see and hear: back contact, second channel, follow-up questions.

Who is the course intended for?

School building

01

School management and teachers

Generated content and fake accounts also target schools. We will teach the choir what not to believe and how to respond.

Public institution building

02

Authorities and public institutions

The official is the target of fraudulent calls and deepfake calls. We give it a simple validation rule.

Management consultation on the decision

03

Management and management assistants

The fake instruction "from the director" is aimed right here. We rehearse the reverse verification before the payment goes out.

Accounting workplace with calculator and financial statements

04

Financial and accounting roles

Urgent payment based on voice or video? We'll show you how to spot a scam and when to stop a transfer.

Human resources worker in the office at the desk

05

HR and internal communication

HR professionals work with sensitive data that must not end up in AI tools or with attackers. We set what is never put out.

Medical facility building

06

Social services and healthcare

Attackers target client and patient data. We will teach the team to protect them even under pressure.

The CEO's fake voice has already cost the company millions

These cases actually happened. The attackers cloned the voice and image of management and forced employees to send money. In the course, we practice just this type of fraud: how deepfake recognize and stop it with an authentication procedure. We do not guarantee that no one will try to scam you. But we will teach the team to verify before it clicks.

Fortune logo

February 2024 · deepfake on video call

Arup: $25.6 million

An employee of the Hong Kong branch of engineering firm Arup joined a video call where the "CFO" and colleagues looked and spoke like real people. It was a deepfake. Believing he was following management's direction, he sent $25.6 million (HK$200 million) in 15 payments.

What we do with it: We teach the team not to rely on image or voice and to verify every request with a second channel and a call back.

Source: Fortune/CNN (2024)
The Wall Street Journal logo

March 2019 · cloned voice of the director

British energy firm: €220,000

The director of the British branch received a phone call from the "boss" of the German parent company. The voice had the same accent and melody. The attackers made it using AI. Under the pressure of an urgent instruction, he sent 220,000 euros (approx. 243,000 USD) to an account in Hungary. The case was reported by The Wall Street Journal according to insurance company Euler Hermes.

What we do with it: Voice alone is not evidence. In the course, we practice verification using a known number and a control question.

Source: The Wall Street Journal / Euler Hermes (2019)
Forbes logo

Early 2020 · cloned voice + fake emails

Bank transfer in Hong Kong: USD 35 million

A bank manager in Hong Kong received a call from a firm "director" whose voice he recognized, complete with emails from a supposed lawyer. He approved transfers worth $35 million for an acquisition that did not exist. According to court documents, the investigation in the UAE was described by Forbes.

What we do with it: A combination of voice and email bypasses intuition. That's why we set up a verification process instead of trusting a single channel.

Source: Forbes (2021)

up to USD 25.6 million

pulled off a single deepfake scam on a video call at Arup (2024). Both the voice and image of leadership were false.

Source: Fortune/CNN (2024)

Artificial intelligence up close

Deepfakes, supervision and training team.

Students work with artificial intelligence tools
AI in teaching
Demonstration of deepfake manipulation and content verification
Deepfakes
Engineers monitor the operation of private AI in a secure environment
Supervision and control
Cyber security training for employees
Team training

What next

We will prepare AI rules and a course for your team

In the request, state who you want to train, in which field you work and the date. We will send a program proposal and calculation.

Safe with artificial intelligence in your institution

Send us a brief inquiry. We will adjust the program depending on whether it is a school, office or company.