When deploying agentic AI, businesses must address several data quality and security challenges, including:

• Data integrity: Ensuring that data is accurate, complete, and timely to avoid erroneous decisions by the AI system
• Data privacy: Safeguarding sensitive information and ensuring compliance with privacy regulations like GDPR
• Model bias: Preventing AI systems from making biased decisions based on skewed or unrepresentative data
• System security: Protecting the AI system and data pipeline from unauthorized access or malicious attacks

Snowplow's data governance capabilities and integration with secure storage platforms help businesses mitigate these challenges. Snowplow Signals adds built-in authentication mechanisms and runs in your cloud environment, providing transparency and control over data access for agentic AI applications.