1. Cybersecurity in everyday work
Everyday security incidents often begin with small user errors, haste, or unchecked routine. The section sets the foundation by clarifying the employee’s role as the first line of defense, introducing core terms such as phishing, malware, ransomware, and social engineering, and outlining business and personal consequences.
- the most common sources of security incidents,
- the role of the employee as the first line of defense,
- errors, haste and routine as sources of threats,
- basic concepts: phishing, malware, ransomware and social engineering,
- the consequences of incidents for the employee and the organization.
2. Phishing and other forms of digital fraud
Phishing, spear-phishing, smishing, and vishing are presented as related fraud techniques built on impersonation and deception. Participants learn to spot spoofing, fake messages, QR-code and attachment traps, common scam scenarios such as CEO fraud or fake invoices, and the safest way to respond.
- phishing, spear-phishing, smishing and vishing,
- spoofing and impersonating trusted senders,
- fake emails, SMS messages and communications,
- CEO fraud, „invoice”, „courier” and „technical support” scams,
- malicious links, attachments and QR codes,
- red flags that make it possible to recognize an attack attempt,
- safe response to suspicious communication.
3. Social Engineering and the Psychology of Manipulation
Attackers often rely less on malware than on human reactions. This section explains how pressure, authority, fear, and emotion are used to obtain information or credentials by phone or in person, and shows how limited trust and verification of unusual requests reduce the chance of manipulation.
- the use of time pressure, authority, emotions and fear,
- obtaining information and access data by deception,
- manipulation by phone and during direct contact,
- the principle of limited trust,
- ways of verifying unusual requests,
- analysis of sample attack scenarios.
4. Passwords, MFA and account security
Account security starts with eliminating common password mistakes and strengthening the login process. The content includes creating unique passwords, storing credentials safely, using password managers and MFA, recognizing account takeover attempts and fake approval requests, and acting on signs of compromise.
- the most common password-related mistakes,
- rules for creating strong and unique passwords,
- secure storage of access credentials,
- password managers,
- multi-factor authentication – MFA,
- account takeovers and attacks on the login process,
- fake requests to approve login,
- actions to take in case of suspected account takeover.
5. Secure electronic communication
Email, messengers, calls, and videoconferences are treated as channels that require verification and controlled disclosure of information. The section addresses checking senders, domains, links, and attachments, secure transfer of documents, and reducing risks during screen sharing and communication in Teams or similar tools.
- security of email and messengers,
- verification of the sender, domain, links and attachments,
- secure transfer of information and documents,
- calls and videoconferences,
- screen sharing and presenting documents,
- protection of information when using Microsoft Teams and other messengers,
- the most common user mistakes.
6. Safe work in the cloud and Microsoft 365
Secure use of Microsoft 365 depends on how access is configured and files are shared. Participants review safe login rules, work with OneDrive, SharePoint, and Teams, and learn to manage permissions, avoid risks tied to public links, and protect data during collaboration inside and outside the organization.
- rules for secure logging in,
- safe use of OneDrive, SharePoint and Teams,
- sharing documents with people inside and outside the organization,
- granting and controlling permissions,
- risks related to public links,
- data protection during file sharing,
- threats related to incorrect access configuration.
7. Protection of company devices
Computers, phones, and tablets require both technical safeguards and disciplined everyday use. This part focuses on updates, antivirus software, firewalls, encryption, screen locking, safe installation of applications, use of external media, and the required response when a device is lost or stolen.
- security of computers, phones and tablets,
- system and application updates,
- antivirus software and firewalls,
- encryption of devices and data,
- screen locking and protection of the device against access by third parties,
- installation of applications and use of external media,
- procedures in the event of loss or theft of a device.
8. Safe remote and mobile work
Outside the office, routine tasks create different exposure points than in controlled workplace settings. The material addresses public and home Wi-Fi, work in hotels, trains, airports, and other shared spaces, along with protecting conversations, documents, private devices, and hybrid work practices.
- threats related to working outside the office,
- using public and home Wi-Fi networks,
- working in hotels, on trains, at airports and in public spaces,
- securing documents and conversations from unauthorized persons,
- safe use of private devices,
- good practices for hybrid work.
9. Protection of data and company information
Protecting company information depends on proper classification and controlled access. Participants work through handling personal, confidential, sensitive, financial, and commercial data, including secure storage, transfer, and destruction, as well as clean desk, clean screen, and leak prevention practices.
- personal, confidential, sensitive, financial and commercial data,
- classification of information,
- the principle of minimum access to data,
- secure storage, transmission and destruction of documents,
- incorrect recipients and accidental disclosure of information,
- data protection in messages, documents and the cloud,
- clean desk and clean screen policy rules,
- prevention of data leaks.
10. Safe use of AI tools
Generative AI introduces specific data-handling and verification risks. The section covers what information must not be entered into public tools, how corporate AI environments differ, how to prepare safer prompts through minimization and anonymization, and why outputs, deepfakes, and manipulated instructions require validation.
- the most important risks associated with generative artificial intelligence,
- data that should not be provided to AI tools,
- protection of company, personal, financial, and customer data,
- differences between public tools and corporate AI environments,
- the risk of storing and further processing the entered information,
- safe preparation of prompts,
- anonymization and limiting the scope of data,
- AI hallucinations and the need to verify responses,
- malicious content and manipulation of instructions,
- deepfakes, fake recordings, and content generated by AI,
- principles of responsible use of ChatGPT, Copilot, and other AI tools.
11. Malware and ransomware in practice
Malware and ransomware are examined from the user perspective: how infections start, what malicious files, apps, links, and websites look like, and which device symptoms should raise concern. Attention is also given to limiting infection risk and taking the right first steps after suspicion of compromise.
- the most common ways devices are infected,
- malicious files, applications, links and websites,
- recognizing unusual device behavior,
- basic rules for reducing the risk of infection,
- how ransomware works,
- what not to do after detecting a threat,
- first actions after suspecting an infection.
12. Responding to security incidents
When a suspicious event occurs, speed and sequence matter. This section explains how to recognize an incident, secure the device and information, report the case under internal procedures, and work with IT or security teams, including responses to leaked data, exposed passwords, and malicious links.
- how to recognize an incident or a suspicious situation,
- first actions after detecting a threat,
- securing information and the device,
- reporting incidents in accordance with the organization's procedures,
- cooperation with the IT department or security team,
- what should not be done after an incident,
- response after clicking a suspicious link or disclosing a password,
- response to the incorrect sending or sharing of data.
13. Practical workshops
Using realistic examples, participants analyze suspicious emails, SMS messages, and document-sharing methods to identify phishing, social engineering, and weak login practices. The workshop also covers AI-generated content, prompt security, incident simulation, and decision-making in typical risk situations.
- analysis of suspicious e-mail and SMS messages,
- recognition of phishing attempts and social engineering,
- assessment of password security and login methods,
- analysis of methods of sharing documents,
- recognition of content generated or manipulated by AI,
- assessment of example prompts in terms of data security,
- simulation of a security incident,
- decision scenarios: „What to do in this situation?”.
14. Summary and good security habits
At the close of the program, the key rules of safe work are consolidated into a practical user checklist. The discussion highlights frequent mistakes, ways to avoid them, and the core principles for secure use of AI, followed by a Q&A session addressing participant scenarios.
- the most important principles of safe work,
- user safety checklist,
- the most common mistakes and ways to avoid them,
- principles of safe use of AI,
- questions and answers.