Comprehensive training on security risks in AI systems, attack methods, and EU AI Act compliance.
Security threats specific to machine learning systems, attack vectors, and defense strategies.
Adversarial examples designed to fool AI models, evasion techniques, and bypass methods.
Attacks that corrupt model behavior through training data manipulation, and defense methods.
The scope, risk categories, obligations, and compliance requirements of the EU Artificial Intelligence Act, in force since 2024.
The regulatory framework for artificial intelligence in Türkiye, KVKK's impact on AI applications, and sector-specific guidelines.
Responsible AI principles, model security best practices, and secure ML pipeline design.
The EU AI Act classifies AI systems into four categories based on their risk level.
Prohibited AI uses: subliminal manipulation, social scoring, real-time biometric surveillance. These systems are banned.
AI systems used in critical infrastructure, education, employment, essential services, and law enforcement. Compliance is mandatory.
Systems such as chatbots and AI content generators that require transparency obligations. Users must be informed.
Low-risk systems such as spam filters and AI-powered games. Subject to voluntary codes of conduct.
Security risks and defense techniques for engineers developing artificial intelligence and machine learning systems.
Those who want in-depth knowledge of the impact of the EU AI Act and KVKK on AI applications.
For leaders who want to understand AI investment decisions, risk management, and compliance responsibilities.
Our training program is delivered in an intensive 1–2 day workshop format. It can be arranged as an in-house group training or an open-enrollment program.
Both online and in-person options are available. Our balanced approach covers both technical and regulatory topics, delivering value for developers and managers alike.
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Assessment scope