The New Arms Race: Fortify Your AI Against Adversarial Attacks
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Building Transparent, Robust, Unbiased, Secure, and Tested AI with the TRUST Framework
AI’s ability to create efficiencies and spark innovation is quickly making it indispensable for modern businesses. But this power introduces new, sophisticated vulnerabilities. Are your AI systems secure against today’s intelligent adversaries?
In this exclusive on-demand webinar, Feedzai’s experts share how to protect data and AI systems by incorporating the TRUST Framework.
What you’ll learn:
- Understand how AI-literate adversaries exploit vulnerabilities through data poisoning.
- Learn why conventional cybersecurity tools are insufficient for protecting complex AI models.
- Explore essential strategies and controls for embedding security at every stage, from data collection and model training to deployment and post-deployment monitoring (MLSecOps).
- Discover techniques such as adversarial training, reproducibility, and fairness testing to enhance the robustness of your models against attacks and ensure reliable performance.
Watch Part 1 of TRUST Framework Webinar Series here.
Speakers:

Diogo Guerra
SVP of Engineering,
Feedzai

Marta Santos
Senior Manager of Product, Risk Strategy, Feedzai