Mastering LLM Integration Security: Offensive & Defensive Tactics Training in Oman

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 2 Days
  • Level: Intermediate
  • Price: From €2,900 +TAX
  • Upcoming Date:
  • UK & Türkiye Based Global Training Provider

This intensive two-day course explores the security risks and challenges introduced by Large Language Models (LLMs) as they become embedded in modern digital systems. Through AI labs and real-world threat simulations, participants will develop the practical expertise to detect, exploit, and remediate vulnerabilities in AI-powered environments.

The course uses a defence-by-offence methodology, helping learners build secure, reliable, and efficient LLM applications. Content is continuously updated to reflect the latest threat vectors, exploits, and mitigation strategies, making this training essential for AI developers, security engineers, and system architects working at the forefront of LLM deployment.



Prerequisites

Participants should have:

  • A basic understanding of AI and LLM concepts
  • Familiarity with basic scripting or programming (e.g., Python)
  • A foundational knowledge of cybersecurity threats and controls

Target audience

This course is ideal for:

  • Security professionals securing LLM or AI-based applications
  • Developers and engineers integrating LLMs into enterprise systems
  • System architects, DevSecOps teams, and product managers
  • Prompt engineers and AI researchers interested in system hardening

We can organize this training at your preferred date and location.
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

What You Will Learn

By the end of this course, learners will be able to:

  • Understand LLM-specific vulnerabilities such as prompt injection and excessive agency
  • Identify and exploit AI-specific security weaknesses in real-world lab environments
  • Design AI workflows that resist manipulation, data leakage, and unauthorised access
  • Apply best practices for secure prompt engineering
  • Implement robust defences in plugin interfaces and AI agent frameworks
  • Mitigate risks from data poisoning, overreliance, and insecure output handling
  • Build guardrails, monitor LLM activity, and harden AI applications in production environments

Training Outline

Prompt engineering

  • Fundamentals of writing secure, context-aware prompts
  • Few-shot prompting and use of delimiters
  • Prompt clarity and techniques to reduce injection risk

Prompt injection

  • Overview of prompt injection vectors (direct and indirect)
  • Practical exploitation scenarios and impacts
  • Detection, mitigation, and secure design strategies

Lab activities:

  • The Math Professor (direct injection)
  • RAG-based data poisoning via indirect injection

ReACT LLM agent prompt injection

  • Introduction to the Reasoning-Action-Observation (RAO) model
  • Vulnerabilities in frameworks such as LangChain
  • Agent behaviour manipulation and plugin exploitation

Lab activities:

  • The Bank scenario using GPT-based agents

Insecure output handling

  • AI output misuse leading to privilege escalation or code execution
  • Front-end exploitation via summarisation and rendering

Lab activities:

  • Injection via document summarisation
  • Network analysis and arbitrary code execution
  • Internal data leaks through stock bot interactions

Training data poisoning

  • Poisoning training or fine-tuning datasets to alter LLM behaviour
  • Attack simulation and defence strategies

Lab activities:

  • Adversarial poisoning
  • Injection of incorrect factual data

Supply chain vulnerabilities

  • Security gaps in third-party plugin, model, or framework usage
  • Dependency risk, plugin sandboxing, and deployment hygiene

Sensitive information disclosure

  • How LLMs can inadvertently leak personal or proprietary data
  • Overfitting, filtering failures, and context misinterpretation

Lab activities:

  • Incomplete filtering and memory retention
  • Overfitting and hallucinated disclosure
  • Misclassification scenarios

Insecure plugin design

  • Misconfigured plugins leading to execution or access control flaws
  • Securing LangChain plugins and sanitising file operations

Lab activities:

  • Exploiting the LangChain run method
  • File system access manipulation

Excessive agency in LLM systems

  • Over-privileged agents and unintended capability exposure
  • Agent hallucination, plugin misuse, and permission escalation

Lab activities:

  • Medical records manipulation
  • File system agent abuse and command execution

Overreliance in LLMs

  • Cognitive, technical, and organisational risks of AI overdependence
  • Legal liabilities, compliance gaps, and mitigation frameworks

Exams and assessments

This course does not include formal certification. Participants will complete multiple hands-on labs simulating attacker tactics and securing LLM implementations. These labs are designed to assess comprehension, critical thinking, and applied technical skill.

Hands-on learning

This course includes:

  • Over 10 scenario-based labs hosted in a cloud-accessible platform
  • 30-day extended access to all lab environments
  • Realistic LLM threat simulations: injection, escalation, data manipulation
  • Post-course access to instructor guidance for continued learning

Why Choose Us

Experience Mastering LLM Integration Security: Offensive & Defensive Tactics in Oman 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 Oman or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Mastering LLM Integration Security: Offensive & Defensive Tactics through face-to-face Classroom Based training in Oman. 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 Mastering LLM Integration Security: Offensive & Defensive Tactics in Oman 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 Oman 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!

Mastering LLM Integration Security: Offensive & Defensive Tactics Training Course in Oman Schedule

Join our public courses in our Oman facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
07 October 2026 (2 Days)
Muscat
€2,900 +TAX
12 October 2026 (2 Days)
Muscat
€2,900 +TAX
09 November 2026 (2 Days)
Muscat
€2,900 +TAX
18 November 2026 (2 Days)
Muscat
€2,900 +TAX
21 November 2026 (2 Days)
Muscat
€2,900 +TAX
22 November 2026 (2 Days)
Muscat
€2,900 +TAX
12 February 2027 (2 Days)
Muscat
€2,900 +TAX
16 February 2027 (2 Days)
Muscat
€2,900 +TAX

Oman is steering towards a tech-driven future under the 'Oman Vision 2040' framework, with Muscat evolving into a center for digital entrepreneurship and advanced telecommunications. The Sultanate is prioritizing the development of a robust digital economy by investing in cybersecurity, artificial intelligence, and electronic government services to enhance national efficiency. Academic excellence from institutions like Sultan Qaboos University provides a strong foundation for research in data science and smart city infrastructure. Our training solutions in Oman focus on bridging the gap between traditional expertise and the demands of the modern high-tech sector. By delivering specialized courses in IT Project Management, Cyber Defense, and Enterprise Systems, we support Omani professionals in their mission to build a sustainable, technologically advanced nation that is fully integrated into the global digital supply chain.

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