Presentation
Securing AI on Z: Addressing Emerging Threats and Building Trustworthy Systems
DescriptionAI is transforming how organizations make decisions and deliver value—but it also introduces new security challenges. Threats like data poisoning, adversarial manipulation, and model theft can compromise both business outcomes and customer trust. Without proper safeguards, these risks can undermine trust, compromise sensitive data, and expose organizations to compliance violations. In this session, we will examine the evolving security threats unique to AI and highlight why securing AI pipelines is as important as securing the data itself. We’ll explore best practices for protecting training data, safeguarding models in production, and embedding transparency and accountability into AI workflows.
Event Type
Technical Session
TimeWednesday, February 252:30pm - 3:30pm EST
LocationSalon 20
Machine Learning/AI
Security and Compliance
Service Delivery
Best Practices Session
Introductory
Security Warrior