3rd Party Risk Management , Governance & Risk Management , Next-Generation Technologies & Secure Development
OnDemand: AI Model Security Challenges: Financial and Healthcare Data
AI models are increasing efficiency, but come with new hidden vulnerabilities that can be a struggle to keep up with and safeguard against. The possible Malicious attacks can lead to business disruption and data breaches of highly sensitive data.
Identifying your AI model and its vulnerabilities is crucial. Many companies lack visibility into the AI models embedded within their applications, especially those built by third-party libraries or open-source frameworks.
Join this session to learn more on the following:
- Unique security challenges facing AI models in Financial and Healthcare organizations;
- How to identify and automatically map all AI models within your codebase, even hidden ones;
- Proven strategies to proactively address vulnerabilities in third-party libraries and frameworks used by your AI, safeguarding sensitive data.
