Privacy risks in AI systems: Mitigating data breaches and PII exposure
Navigating data privacy challenges in the age of AI
Speakers – Aswin, Hema
- April 29, 2025
- 45 Minutes
- Online
Safeguard sensitive data and ensure privacy compliance in AI systems with our expert strategies and techniques
With AI systems processing vast amounts of personal data, including sensitive information like biometric data and location history, the risk of data breaches and unintended exposures has never been higher. AVASOFT will guide you through the complexities of privacy in AI, covering topics such as transparency challenges, unintended inferences, and data retention issues. The session will also highlight advanced privacy-preserving techniques like differential privacy, federated learning, and explainable AI (XAI), which can help organizations safeguard sensitive data and ensure ethical AI practices.
What you’ll gain
- Learn about cutting-edge privacy techniques such as differential privacy, federated learning, and explainable AI.
- Discover how AI technologies can automate compliance, monitor privacy risks in real time, and classify sensitive data.
- Gain knowledge on mitigating data exposure risks and ensuring privacy compliance while driving AI innovation.
Why attend
- Tackle Privacy Risks in AI: Understand the major privacy threats in AI systems and the best ways to address them.
- Implement Privacy by Design: Discover how to build privacy-preserving features into AI systems from the ground up.
- Stay Compliant Globally: Gain insights into managing compliance with privacy regulations like GDPR, CCPA, and more.
- Learn from Real-World Cases: Understand the critical need for proactive data protection through examples like the Pegasus spyware scandal.
Who should attend
- Data privacy officers
- AI/ML engineers
- Compliance professionals
- CTOs and CIOs
- Legal and risk managers
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