Course : Artificial intelligence and operational safetyAI as a field of possibilities for malicious acts
Synthesis course - 1d
- 7h00 - Ref. ICY
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 | Understanding how artificial intelligence can benefit cybersecurity |
| Understanding security issues related to connected objects |
| Discover the tools and means for detecting social engineering, biometric and spoofing attacks... |
Intended audience
Decision-makers, project managers, engineers, developers, researchers.
Prerequisites
Previous knowledge of a computer language and a programming language.
Course schedule
1 Defining the challenges between AI, robotics and cybersecurity
- Definition and concepts.
- Challenges for governments, armies and all IT-related organizations.
- AI-related cybersecurity opportunities and limits.
- Software threats. Malware detection tools.
- Security issues related to the Internet of Things (IoT).
- Possibilities and limits of the IoT in a cybersecurity context.
- Malicious connected objects versus means of detection.
Demonstration
Demonstrations: polymorphic software, genetic algorithms for polymorphic code generation, electronic and robotic hardware.
2 Social engineering and artificial intelligence
- What is a social engineering attack? What are the consequences?
- Principles of "deepfakes" (false identities, images, voices and videos).
- Possibilities and limits of a GAN (Generative Adversarial Networks).
- New detection tools
Demonstration
Implementation of a GAN network to produce images with dummy styles.
3 AI as a tool for detection, protection, surveillance, identification...
- Systems of ever-increasing "complexity".
- Statistical indicators "classic" are insufficient to monitor a complex system.
- Machine learning (ML) and deep learning (DP) for anomaly detection and prevention.
- AI as a surveillance tool. Use of ML and DL by biometric systems.
- Possibilities and limits of ML and DL in person identification.
- Misuse: false positives, false negatives, malicious acts...
Demonstration
Detection model. Camera typology (360, HD, 3D-RGBd...). Demonstrations of the limitations, "biases" linked to AI and cases where AI is more effective than the human eye.
4 AI-powered listening
- Eavesdropping context "boosted" with artificial intelligence.
- Tools and resources for eavesdropping on a conversation, detecting a secret code, reconstructing an e-mail...
- Successful projects accessible to all.
- How can we preserve the confidentiality of our exchanges?
- Possibilities and limits between "frappology" and AI. How to protect yourself?
Demonstration
Tools and research useful for reconstructing and predicting indirect signals in a noisy environment.
Customer reviews
4,1 / 5
Customer reviews are based on end-of-course evaluations. The score is calculated from all evaluations within the past year. Only reviews with a textual comment are displayed.
VICTOR D.
17/12/25
5 / 5
Très bien. Le temps passé à chaque sujet est un peu court, mais c’est normal pour pouvoir passer en revue tous les sujets.
FABRICE C.
17/12/25
5 / 5
Mon appréciation sur le contenu et la pédagogie est très satisfaisant.
EMMANUEL S.
17/12/25
4 / 5
Bonne introduction à l’IA et à la sécurité opérationnelle. Un temps plus important sur la description technique des différents moteur d’IA aurait été apprécié.
PARTICIPANTS
Decision-makers, project managers, engineers, developers, researchers.
PREREQUISITES
Previous knowledge of a computer language and a programming language.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
Decision-makers, project managers, engineers, developers, researchers.
PREREQUISITES
Previous knowledge of a computer language and a programming language.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TEACHING AIDS AND TECHNICAL RESOURCES
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.