Swatar, City Centre

Regus Swatar, City Centre, 2nd Floor, Tower Business Centre, Swatar, Malta, BKR4013

The Swatar City Centre is on the second floor of Tower Business Centre, in the Swatar suburb of Birkirkara, a key commercial district. On the same road is the HSBC global call centre. Malta is a popular location for back office services, especially call centres, because of its reliable telecoms infrastructure and English speaking population. The Swatar City Centre is near major financial services, offshore banks and other leading companies. The country's main industries are expanding from tourism and freight to diverse manufacturing including pharmaceuticals, electronics, rubber, plastics, packaging, security systems, marine products and biomedical equipment. The centre is opposite a new state-of-the-art hospital, also a major interchange for the public transport network. Swatar borders on the university town of Msida and the centre's location near Birkirkara bypass makes it convenient for Malta International Airport and the capital city Valletta. There is a public garden, named Swatar Garden, which is situated at Balliju Guttenberg Street. The garden is equipped with European standard facilities such as; a 5-a-side football ground, energy efficient lightning and safety and security measures

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AI Governance, Compliance, and Security for Enterprise Leaders

 14 Hours
This instructor-led, live training in Swatar (online or onsite) is aimed at intermediate-level enterprise leaders who wish to understand how to govern and secure AI systems responsibly and in compliance with emerging global frameworks such as the EU AI Act, GDPR, ISO/IEC 42001, and the U.S. Executive Order on AI.By the end of this training, participants will be able to:
  • Understand the legal, ethical, and regulatory risks of using AI across departments.
  • Interpret and apply major AI governance frameworks (EU AI Act, NIST AI RMF, ISO/IEC 42001).
  • Establish security, auditing, and oversight policies for AI deployment in the enterprise.
  • Develop procurement and usage guidelines for third-party and in-house AI systems.
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Building Secure and Responsible LLM Applications

 14 Hours
This instructor-led, live training in Swatar (online or onsite) is aimed at intermediate-level to advanced-level AI developers, architects, and product managers who wish to identify and mitigate risks associated with LLM-powered applications, including prompt injection, data leakage, and unfiltered output, while incorporating security controls like input validation, human-in-the-loop oversight, and output guardrails.By the end of this training, participants will be able to:
  • Understand the core vulnerabilities of LLM-based systems.
  • Apply secure design principles to LLM app architecture.
  • Use tools such as Guardrails AI and LangChain for validation, filtering, and safety.
  • Integrate techniques like sandboxing, red teaming, and human-in-the-loop review into production-grade pipelines.
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Securing AI Models: Threats, Attacks, and Defenses

 14 Hours
This instructor-led, live training in Swatar (online or onsite) is aimed at intermediate-level machine learning and cybersecurity professionals who wish to understand and mitigate emerging threats against AI models, using both conceptual frameworks and hands-on defenses like robust training and differential privacy.By the end of this training, participants will be able to:
  • Identify and classify AI-specific threats such as adversarial attacks, inversion, and poisoning.
  • Use tools like the Adversarial Robustness Toolbox (ART) to simulate attacks and test models.
  • Apply practical defenses including adversarial training, noise injection, and privacy-preserving techniques.
  • Design threat-aware model evaluation strategies in production environments.
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Introduction to AI Security and Risk Management

 14 Hours
This instructor-led, live training in Swatar (online or onsite) is aimed at beginner-level IT security, risk, and compliance professionals who wish to understand foundational AI security concepts, threat vectors, and global frameworks such as NIST AI RMF and ISO/IEC 42001.By the end of this training, participants will be able to:
  • Understand the unique security risks introduced by AI systems.
  • Identify threat vectors such as adversarial attacks, data poisoning, and model inversion.
  • Apply foundational governance models like the NIST AI Risk Management Framework.
  • Align AI use with emerging standards, compliance guidelines, and ethical principles.
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Provisional Upcoming Courses (Contact Us For More Information)

Securing AI Models: Threats, Attacks, and Defenses

2025-06-30 09:30
14 hours
Swatar, City Centre

Securing AI Models: Threats, Attacks, and Defenses

2025-07-14 09:30
14 hours
Swatar, City Centre

Introduction to AI Security and Risk Management

2025-07-28 09:30
14 hours
Swatar, City Centre

Building Secure and Responsible LLM Applications

2025-08-11 09:30
14 hours
Swatar, City Centre

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