Question: How can I ensure the security of my organization's AI implementation across the entire AI stack?

To protect your organization's AI deployment across the entire AI stack, you can also consider Securiti. This platform provides a wide range of features, including AI model discovery, risk assessment, compliance checks, data access governance, and integration with over 1,000 data systems. It helps organizations meet global regulatory requirements and protect data and ensure compliance.

Another good option is Varonis, an all-in-one SaaS platform for automated data security. It offers features like data discovery, threat detection, policy automation, and compliance management across multiple cloud and on-premises environments. Varonis supports many applications and cloud platforms, including Microsoft 365, Google Workspace and AWS, and offers strong data visibility, classification and automated remediation.

For an AI-native data leak prevention, Nightfall is a good option. The platform uses machine learning to identify, classify and protect sensitive data in SaaS and cloud applications, reducing the likelihood of data breaches. It supports compliance standards like HIPAA, PCI, GDPR and ISO 27001, and offers flexible pricing options to accommodate different organizational requirements.

Last, ClearGPT is a secure, enterprise-grade platform that uses generative AI and Large Language Models for internal enterprise use. It offers maximum control and corporate IP protection with features like role-based access, data governance, and a human reinforcement feedback loop. Running on a private network, ClearGPT prevents data leakage while enabling AI innovation across different enterprise business units.