Agentic AI Security Training in France

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 3 Days
  • Price:
  • Upcoming Date:

With the development of Agentic AI systems built on the foundation of Large Language Models (LLMs), the actions generated by agents can evolve in unpredictable ways from a security perspective. In addition to text, audio, video, and images generated by LLMs, LLM Apps have their own unique security vulnerabilities.

Unlike LLMs, AI Agents can also introduce security risks at the action level. These risks may include the poisoning of an agent, changing an agent's goal, manipulating the tools used by an agent, or causing an agent to perform malicious actions.

In this training, we focus on LLM and Agentic AI vulnerabilities through hands-on practices. Using OWASP, which has become a standard reference in software and mobile security, as a reference for LLM and Agentic AI security, we examine vulnerabilities covered by the OWASP Machine Learning Security Top 10, OWASP LLM Top 10, and OWASP Agentic AI Security Top 10 in depth.


For corporate groups, we can organize this training as an on-site private group.
HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

Who Should Attend

This training is intended for participants who want to learn about AI Security, LLM Security, and Agentic AI Security, examine security vulnerabilities in artificial intelligence systems, or work on securing these systems.

It is particularly suitable for technical participants working in software, artificial intelligence, and cybersecurity who work with AI systems, LLM Apps, and AI Agents; are interested in AI Blue Teaming and AI Red Teaming; or want to examine OWASP Machine Learning Security, OWASP LLM, and OWASP Agentic AI Security vulnerabilities.

What You Will Learn

In this training, you will examine what AI Security is, the concepts of artificial intelligence security and the use of AI in security, and the different types of AI systems used in R&D and production environments.

You will explore what it means for an artificial intelligence system to be secure through the concepts of AI Robustness and AI Security. You will also examine the familiar cybersecurity concepts of Blue Teaming and Red Teaming from an AI perspective, including the responsibilities and roles of AI Blue Teams and AI Red Teams. In addition, you will examine the use of AI for malicious cyber activities and the overall AI Security landscape.

Within the OWASP Machine Learning Security Top 10, you will review the security of applied Machine Learning and Deep Learning projects.

Within the OWASP LLM Top 10, you will examine Prompt Injection, Sensitive Information Disclosure, Supply Chain, Data and Model Poisoning, Improper Output Handling, Excessive Agency, System Prompt Leakage, Vector and Embedding Weaknesses, Misinformation, and Unbounded Consumption.

Within the OWASP Agentic AI Security Top 10, you will examine Agent Goal Hijack, Tool Misuse and Exploitation, Identity and Privilege Abuse, Agentic Supply Chain Vulnerabilities, Unexpected Code Execution (RCE), Memory & Context Poisoning, Insecure Inter-Agent Communication, Cascading Failures, Human-Agent Trust Exploitation, and Rogue Agents.

Training Outline

AI Security

What is AI Security?

  • What is artificial intelligence security?

  • Artificial intelligence security and the use of AI in security.

Different Types of AI Systems

  • Different types of AI systems in R&D and production environments.

What Does "Secure AI" Mean?

  • What does it mean for artificial intelligence to be secure?

  • AI Robustness and AI Security.

Blue Teaming vs. Red Teaming

  • AI-focused Blue Teaming and Red Teaming.

  • Responsibilities and roles of AI Blue Teams and AI Red Teams.

Using AI for Malicious Intents

  • The use of artificial intelligence for malicious cyber activities.

The AI Security Landscape

  • The AI Security landscape and overall architecture.


OWASP Machine Learning Security Top 10

  • Project reviews of applied Machine Learning and Deep Learning security.


OWASP LLM Top 10

LLM01: Prompt Injection

  • Security risks created by prompts and manipulating an LLM through Prompt Injection.

LLM02: Sensitive Information Disclosure

  • Security risks associated with the disclosure of critical or sensitive information learned by LLMs.

LLM03: Supply Chain

  • Supply chain vulnerabilities in AI infrastructure and their security.

LLM04: Data and Model Poisoning

  • Data and model poisoning vulnerabilities and protection against these risks.

LLM05: Improper Output Handling

  • Security problems associated with LLM outputs and secure output handling.

LLM06: Excessive Agency

  • Secure development and design processes for LLM applications.

LLM07: System Prompt Leakage

  • Disclosure and protection of system prompts.

LLM08: Vector and Embedding Weaknesses

  • Security vulnerabilities in Vector DB and Embedding processes.

LLM09: Misinformation

  • The impact of incorrect information on LLM results.

LLM10: Unbounded Consumption

  • Financial losses caused by excessive use of AI infrastructure and measures that can be taken against them.


OWASP Agentic AI Security Top 10

ASI01: Agent Goal Hijack

  • Changing the predefined task or goal of an agent.

ASI02: Tool Misuse and Exploitation

  • Manipulation of agent actions and the tools used by agents.

ASI03: Identity and Privilege Abuse

  • Security of agent identities and authorization mechanisms.

ASI04: Agentic Supply Chain Vulnerabilities

  • Examining supply chain vulnerabilities from an Agentic AI perspective.

ASI05: Unexpected Code Execution (RCE)

  • Risks resulting from agents executing tools or generating malicious code.

ASI06: Memory & Context Poisoning

  • Poisoning of LLM and Agent memory mechanisms.

ASI07: Insecure Inter-Agent Communication

  • Manipulation or attacks against communication between agents through protocols such as A2A.

ASI08: Cascading Failures

  • The cascading impact of one agent's output or decision on other agents in Multi-Agent systems.

ASI09: Human-Agent Trust Exploitation

  • Malicious or poisoned agents attempting to manipulate human approval in Human-in-the-Loop processes.

ASI10: Rogue Agents

  • Agents operating outside their intended design and performing malicious operations, requests, or redirections in the background.

Why Choose Us

Leading UK-based global training provider since 1995.

Experience Agentic AI Security in France through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

  • Delivery Method: Online Instructor-Led
  • Participation Model: Public / Private (In-house)
  • Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
  • Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
  • Worldwide Access: Join our live virtual classrooms from France or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Agentic AI Security through face-to-face Classroom Based training in France. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

  • Delivery Method: Classroom Based
  • Participation Model: Public / Private (In-house)
  • Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
  • Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
  • Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
  • Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Agentic AI Security in France as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

  • Delivery Method: Onsite
  • Participation Model: Private (In-house)
  • Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
  • Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
  • Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
  • Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
  • Worldwide Onsite Delivery: Arrange the training in France or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.
Contact us for more detail about our trainings and for all other enquiries!

Agentic AI Security Training Course in France Schedule

Join our public live virtual trainings remotely from France. Private group trainings can also be organized at your preferred location in France, around your schedule.

For corporate groups, we can organize this training as an on-site private group.
21 octobre 2026 (3 Days)
Paris, Lyon, Toulouse, Marseille
24 octobre 2026 (3 Days)
Paris, Lyon, Toulouse, Marseille
13 novembre 2026 (3 Days)
Paris, Lyon, Toulouse, Marseille
16 janvier 2027 (3 Days)
Paris, Lyon, Toulouse, Marseille
24 janvier 2027 (3 Days)
Paris, Lyon, Toulouse, Marseille
25 janvier 2027 (3 Days)
Paris, Lyon, Toulouse, Marseille
05 mars 2027 (3 Days)
Paris, Lyon, Toulouse, Marseille
13 mars 2027 (3 Days)
Paris, Lyon, Toulouse, Marseille

France stands as a cornerstone of European industrial innovation, with Paris and Lyon serving as premier global hubs for aerospace, automotive technology, and high-end digital startups. The French tech ecosystem, famously supported by the 'La French Tech' initiative, thrives on the research excellence of institutions like Sorbonne University and École Polytechnique. As a leader in sustainable energy software and sophisticated telecommunications, France offers a highly competitive landscape for advanced professional development. Our IT training programs in France are designed to meet these elite standards, focusing on Cloud Computing, Cybersecurity, and Data Science certifications. We empower professionals across the Republic to lead digital transformation projects within a diverse economy that is consistently pushing the boundaries of engineering and artificial intelligence.

© 2026 Bilginç IT Academy. All Rights Reserved.