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Artificial intelligence and cybersecurity: mastering the challenges and operational implementation
AI is transforming cybersecurity practices while creating new areas requiring attention. Connect use cases, threats and implementation conditions to assess options critically. Strengthen your ability to integrate these tools into a structured protection strategy.
- Duration
- 2 days 14 hours
- Code
- GSI007FR Code
Presentation
How can you effectively protect your business as cyberattacks become increasingly sophisticated and automated? In today's environment, AI-driven threats such as deepfakes and self-adapting malware demand an equally capable technological response. This course offers a comprehensive exploration of how AI is fundamentally transforming digital security, moving from a reactive stance to proactive, automated prevention.
Through a balanced learning approach, you will explore next-generation tools such as augmented SIEMs and behavioural detection solutions. Your learning will focus on risk analysis, understanding model bias and mastering the European regulatory framework through the AI Act. You will develop a cross-functional perspective that aligns technological innovation with your information security governance strategy.
In practice, you will be able to lead AI integration within your security ecosystem to reduce detection and response times. By the end of these two days, you will have a personalised strategic roadmap for deploying AI solutions that create value and meet ethical requirements. You will leave with practical methods for turning these tools into an effective digital shield for your business.
Objectives
By the end of this AI and cybersecurity course, you will be able to:
- understand the fundamental mechanisms of machine learning and the pillars of generative AI;
- identify operational applications of these technologies to strengthen risk detection and prevention;
- master the complementary roles of innovative defence tools such as SIEM, SOAR and EDR;
- understand next-generation cyber threats based on deepfakes or evolving malicious code;
- assess potential vulnerabilities and cognitive biases in automated security algorithms;
- deploy a cybersecurity strategy consistent with governance frameworks and ISO 27001:2022;
- apply ethical requirements and new legal constraints established by the AI Act and GDPR;
- structure an effective technology deployment pathway to lead AI integration in your organisation.
Program
Module 1: mastering fundamental AI concepts
- The definition and essential pillars of artificial intelligence.
- The history of the technologies and their chronological development.
- An overview of current solutions and their technical capabilities.
- Specific categories: machine learning, deep learning and generative AI.
Module 2: identifying AI applications in cybersecurity
- Threat detection through behavioural analysis and log processing.
- Incident management through automation and response playbooks.
- Proactive prevention through attack simulation and threat hunting.
Module 3: using augmented defence technologies
- How SIEM, UEBA, SOAR and EDR/NDR solutions work.
- Using anti-malware software based on AI algorithms.
- Using simulation tools to test system resilience.
Case study
- Analyse the correlation between UEBA, EDR, NDR and SOAR tools when facing an advanced persistent threat (APT).
Module 4: analysing sophisticated attacks and technical limitations
- Automated phishing and malicious use of deepfakes.
- Development of self-adapting malware through generative AI.
- Understanding adversarial attacks and bias in defensive models.
- Assessing risks arising from opacity and dependence on data sources.
Module 5: managing operational AI deployment
- Alignment with the information systems security policy (PSSI) and cyber threat management.
- Running pilot projects before scaling solutions.
- Monitoring performance through MTTD and MTTR cybersecurity indicators.
- Supporting teams in developing their technical skills.
Module 6: ensuring ethical and regulatory compliance
- Respecting transparency, justice and fairness principles.
- Applying the European AI Act framework and associated penalties.
- Protecting information assets and complying with GDPR.
Module 7: building a sustainable strategic pathway
- Defining a long-term vision and selecting technological priorities.
- Integrating tools into ISO 27001 and NIST frameworks.
- Optimising return on investment through value-focused management.
Audience
This course is designed for cybersecurity experts and IT decision-makers, including:
- CISOs and security managers seeking to align their information security policy with the new opportunities offered by AI;
- SOC analysts and cybersecurity teams responsible for optimising detection processes and incident response;
- CIOs and IT managers integrating artificial intelligence into their overall information systems strategy;
- compliance and risk management leaders who need to anticipate the regulatory impacts of the AI Act and GDPR.
Prerequisites
The following prerequisites apply:
- Professional experience: established experience in information systems management or operations, enabling an understanding of their overall architecture.
- Technical skills: proficiency in cybersecurity fundamentals, including threat types, event log analysis and information security governance principles.
Teaching and assessment methods
- Initial skills assessment
- Training materials provided to participants
- Continuous assessment throughout the course
- End-of-course feedback questionnaire
- Combination of theory and practical application
- Attendance records
- Post-course follow-up evaluation
- Quiz / multiple-choice questions
- Case study
Course highlights
- Certified expertise: learn from trainers experienced in integrating AI within critical organisations.
- Forward-looking analysis: benefit from comprehensive insights into future generative AI threats.
- Regulatory expertise: anticipate European AI Act constraints to secure future deployments.
- Methodological tools: leave with practical reference sheets and detailed documentation to support implementation.
Dates and sessions
Choose the date and delivery format that suit you.
No upcoming sessions are currently available.