Artificial intelligence and machine learning (AI/ML) continue to rapidly enable exciting new business capabilities. But properly protecting sensitive AI/ML data within existing tech stacks remains a top concern for development and testing teams worldwide.
We surveyed 200+ global leaders in The State of Data Compliance and Security Report about their concerns around compliance and privacy for data in AI environments. 68% of respondents perceive a lack of solutions to tackle data privacy in AI environments. But employing certain practices can alleviate AI/ML data fears.
In this webinar, three Perforce experts explained the best practices for protecting AI/ML data and ensuring it meets compliance and security protocols. They also discussed top AI/ML data concerns among enterprises and how to efficiently address them.
Watch the webinar to learn how to overcome these challenges in AI/ML environments:
- Ensuring AI/ML data meets regulatory compliance requirements of laws such as GDPR, CCPA, HIPAA, and more
- Mitigating AI/ML data theft and data leakage risks
- Efficiently sending and sharing sensitive AI/ML data while keeping it protected
Don’t miss this key opportunity to learn how to safeguard your organization’s valuable, sensitive AI/ML data. Watch the recording today!