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SC300: Social Engineering Basics UPDATE
Training: Security - Governance, Risk & Compliance
Social Engineering today follows the same psychological patterns as in the past, however AI makes attacks faster, more precise, and scalable. The course combines classic models by Cialdini, Kahneman, Ekman, Hadnagy, and Mitnick with modern AI-supported attacks such as Spear-Phishing, Whaling, and Deepfakes. The focus is on OSINT, SocMInt, and HumInt as well as recognizing and exposing deception through hands-on exercises.
Start: 2026-09-07 | 10:00 am
End: 2026-09-08 | 04:00 pm
Location: Nuremberg
Price: 1.590,00 € plus VAT.
Start: 2027-04-05 | 10:00 am
End: 2027-04-06 | 04:00 pm
Location: Nuremberg
Price: 1.590,00 € plus VAT.
Start: 2027-07-05 | 10:00 am
End: 2027-07-06 | 04:00 pm
Location: Nuremberg
Price: 1.590,00 € plus VAT.
Start: 2027-10-18 | 10:00 am
End: 2027-10-19 | 04:00 pm
Location: Nuremberg
Price: 1.590,00 € plus VAT.
Agenda:
Threat landscape 2026 - where do the threats come from, who is affected? Creation of an individual threat landscape
Legal and ethical aspects in the use of social engineering – including NIS2, DORA, transparency obligations of the AI Act as well as the permissibility limits of phishing and vishing simulations
The classic levers – fundamentals of deception and persuasion:
Robert Cialdini – principles of influence and their application in attack scenarios
Daniel Kahneman – System 1 / System 2 as an explanation of why fast decisions are vulnerable
Paul Ekman – micro and macro expressions, basics of non-verbal communication
Christopher Hadnagy – pretexting and the structured development of an attack conversation
Kevin Mitnick – the art of deception: why classic cases still work today
Research: from OSINT to SocMInt and HumInt
OSINT basics: deep web search, tools, source criticism and verification
SocMInt – what individuals and organizations reveal on social networks, and how this information is consolidated into a target profile
HumInt and elicitation – obtaining information in a conversation without asking for it
Creating false identities and cover stories
How AI has changed things
Automated target research: consolidating public digital footprints into profiles in minutes rather than days
Mass generation of spear-phishing and whaling attacks – personalized and at scale
Deepfakes (voice & face) including real-time manipulation in video calls – tools, detection methods and the limits of human detection
Current fraud and scam scenarios: CEO fraud, invoice and payment manipulation, investment and relationship fraud, fake applications
Manipulation of AI assistants and agents through hidden instructions in documents, emails and websites
Attack vectors in practice
Vishing, smishing, call spoofing and role-playing exercises
Attacks on the service desk: identity verification over the phone, resetting of passwords and second factors, phone number hijacking
Bypassing multi-factor authentication using social engineering: intermediary login pages, session hijacking, MFA fatigue, fraudulently obtained application authorizations
Self-executed browser-based attacks: fake error messages and security prompts tricking users into executing commands themselves
Channel-switching campaigns: coordinated chains via email, chat, phone, SMS and messengers
Physical methods: bypassing access controls and barriers, hacker USB and LAN tools, WLAN attacks (compact demonstration)
Visibility and deception – the own side
Analysis of the own digital footprint: person, role and organization from an attacker's perspective
Deception as a countermeasure: targeted obfuscation, decoys and canaries, controlled misinformation
Reducing personal risks: grooming, identity theft, extortion – identifying warning signs and adopting protective behaviors
Verification as a control point: callback via registered channels, four-eyes principle for payment and authorization changes,agreed-upon passwords, clear approval workflows
Practical part: the game of deception and detection – participants deceive and are deceived, then analyze the techniques used and practice interview techniques to uncover the truth:: structured interviewing, plausibility-oriented follow-up questions, identifying inconsistencies
Lessons learned – analysis of own vulnerability, prioritization of measures and quick wins, design of awareness and incident playbooks
Objectives:
Understand the classic levers of deception and persuasion and recognize them in real conversation situations
Understand how AI has changed social engineering—and what has remained the same
Gain a comprehensive understanding of social engineering attack paths, from the initial research phase through to the resulting damage
Classify research skills in practice: OSINT, with a focus on SocMInt and HumInt
Classify current fraud and scam scenarios: CEO fraud, invoice and payment manipulation, investment and relationship fraud, fake applications
Develop awareness for one's own visibility – personally and organizationally
Learning about deception as a countermeasure: targeted obfuscation, decoys, and canaries to reduce risk
Classify and reduce personal risks: grooming, identity theft, extortion
Recognize lies and expose deceivers—using questioning techniques to uncover the truth and nonverbal indicators
Design verification processes that remain effective even against technically perfect deception
Develop awareness and incident playbooks, as well as a prioritized list of measures for your own organization
Target audience:
The course SC300 Social Engineering Basics is aimed at:
IT security management and information security officers
CISOs
Pentesters
Red and blue teamers
Persons responsible for Service Desk and user support
Persons responsible for awareness programs and security culture
Prerequisites:
For participation in the training SC300 Social Engineering Basics no specific prior knowledge is required.
It helps to have a basic understanding of your own approval processes – such as the question of how a password is reset or a payment is approved within your organization.
Description:
Social Engineering today follows the same psychological patterns as in the past, however AI makes attacks faster, more precise, and scalable. The course SC300 Social Engineering Basics combines both: the classic levers of deception and persuasion according to Cialdini, Kahneman, Ekman, Hadnagy and Mitnick on the one side – and on the other the attacks that have only become possible through the current use of AI: automated target research, tailored spear-phishing and serial whaling, and real-time voice and facial mimicry. Research is not limited to OSINT tools. The focus is on SocMInt and HumInt – what people reveal about themselves and how one elicits it from them in conversation. Participants practice the interplay of deception and detection. They experience both sides: what it feels like to deceive—and the methods used to expose a deceiver.
Technical terms will be introduced in German; all participants will receive a glossary of terms and abbreviations as a handout.
Expand your knowledge with practical, expert-level skills in the advanced course SC305 Social Engineering Practitioner.
Guaranteed implementation:
from 2 Attendees
Booking information:
Duration:
2 Days
Price:
1.590,00 € plus VAT.
For in-person attendance, lunch and beverages are included in the price.
Testimonials:
Impressions:
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