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SC305-WS: Manipulation in Everyday Digital Life: Recognizing and Defending Against Social Engineering NEW

Web-Seminar: Security - Governance, Risk & Compliance

Teaches employees in companies of any size how social engineering attacks against people and AI applications work, how to recognize typical manipulation techniques (e.g., deceptively authentic emails, calls made in the name of business partners, prompt injections), and which technical, organizational, and human measures provide effective protection. Practical examples deliver immediately actionable recommendations for the safe use of AI in everyday work.

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Appointments in German language (1)


Online event	2026-03-26 \| 03:00 pm	2026-03-26 \| 04:00 pm	Online

Possible course languages: German

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Online event

Start: 2026-03-26 | 03:00 pm

End: 2026-03-26 | 04:00 pm

Location: Online

Price: 0,00 € plus VAT.

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Agenda:

Why Social Engineering Is So Effective
- Psychological fundamentals: persuasion vs. deception—and why our brains fall for it (and why AI does not “understand” these patterns, but reproduces them)
Typical Social Engineering Attacks from the Field
- Phishing, vishing, pretexting, CEO fraud & more, based on real-world examples including attacks via AI tools and manipulated prompts
Recognizing and Correctly Classifying Manipulation Techniques
- Pressure, authority, trust, helpfulness—the classic triggers in people and as attack vectors against AI systems
Protective Measures for Employees and Organizations
- Technical, organizational, and human levers, as well as guardrails for the safe use of AI
Best Practices & Immediate Measures for Everyday Business
- What really works—and what doesn’t (also in the interplay between people and AI)

Objectives:

A clear understanding of why social engineering is the number one entry point for cyberattacks today—against people as well as AI-supported systems, regardless of company size or industry
A “mental checklist” that helps employees recognize suspicious situations in everyday work more quickly and respond correctly—and that also helps them critically question risky AI inputs and outputs
Proven best practices from the field, e.g.:
- Verification rules for emails, phone calls, payment requests, and AI-generated content
- Clear no-go signals in situations involving time pressure, appeals to authority, and “exceptions”—even if these appear “neutral” when coming via AI
- Simple reporting paths for suspicious incidents, including conspicuous AI responses or unexpected system behavior
Specific immediate measures that can be implemented without major investment (awareness, processes, clear rules for people and AI usage)
Impulses for a sustainable security culture in which employees and AI systems act not as a weakness, but as a protective factor

Target audience:

The web seminar SC305-WS Manipulation in Everyday Digital Life: Recognizing and Defending Against Social Engineering is aimed at:

Managing Directors & Owners
IT Managers & IT Officers
ISMS, Data Protection & Compliance Officers
HR & Organizational Officers
Specialists and Managers without an IT background
Individuals responsible for the use of AI in the organization

Prerequisites:

To be able to follow the content of the web seminar SC305-WS Manipulation in Everyday Digital Life: Recognizing and Defending Against Social Engineering effectively, basic knowledge of information security and/or cybersecurity is helpful.

Description:

Cyberattacks today rarely start with classic IT technology—rather, they begin with a targeted attack on people or on AI systems used within the organization. Whether deceptively authentic emails, calls made in the name of business partners, seemingly harmless requests in day-to-day work, or targeted manipulation of AI inputs (e.g., prompt injections): social engineering is one of the greatest threats to companies of any size.

In this web seminar SC305-WS Manipulation in Everyday Digital Life: Recognizing and Defending Against Social Engineering, you will learn how social engineering attacks work—both against employees and against AI applications—how to recognize typical manipulation techniques, and which specific technical, organizational, and human measures effectively protect employees and organizations.

Using practical examples, you will receive immediately actionable recommendations for everyday business—also for the safe use of AI in a work context.