5 Key Points from the Podcast with Leila Golchehreh from Relyance.ai
- Legacy Issues and Modern AI-Driven Privacy Solutions:
- Traditional privacy tools are outdated, slow, and inefficient. Reliance AI provides a modern, AI-powered platform that automates key tasks like DSARs, data mapping, and records of processing activities, reducing manual effort and increasing accuracy.
- AI as Both a Challenge and an Opportunity in Privacy Management:
- AI complicates data privacy but also provides solutions to manage these complexities. Reliance AI uses static code analysis and large language models to predict data processing behaviors and ensure compliance, making privacy management more efficient and scalable.
- Benefits of Reliance AI Software:
- Minimal engineering resources needed for implementation.
- Fast setup with automation that reduces reliance on manual processes.
- Provides continuous monitoring and alerts for data inconsistencies, reducing risks.
- Acts as a "co-pilot" for privacy professionals, enhancing capacity and reducing time spent on repetitive tasks.
- Balancing AI Automation with Human Expertise:
- AI handles repetitive and data-intensive tasks, but human experts are essential for strategic decision-making, such as evaluating alternative data processing methods and negotiating nuanced contracts.
- Embedding Privacy as a Core Business Function:
- Organizations must go beyond compliance by integrating privacy deeply into all functions. Building cross-functional teams, securing executive buy-in, and leveraging AI like Reliance AI are critical to fostering a privacy-focused culture that builds trust with customers.
Leila Golchehreh, Co-Founder & Chief Strategy Officer can be contacted here https://www.linkedin.com/in/leilagolchehreh/
https://www.relyance.ai/company#contact
The latest in Data Protection and Privacy Podcast by David Clarke
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