We are thrilled to announce the launch of “AI Trust Layer for Cortex” as a native app in the Snowflake Marketplace, giving enterprises a much-needed way to secure and govern AI-powered applications built on Snowflake—or anywhere else.
As AI tools like Cortex Agents, RAG pipelines, and text-to-SQL interfaces become common in enterprise workflows, the need to protect sensitive data and enforce dynamic access controls is more critical than ever. The AI Trust Layer for Cortex includes Trust3 Guard that was built specifically to solve that problem.
What is the AI Trust Layer for Cortex?
Trust3 provides a real-time policy enforcement layer that sits between users and AI applications. It dynamically applies controls like:
- Prompt Injection Protection: Detects and neutralizes attempts to manipulate AI outputs.
- Context-Aware Redaction: Masks or removes sensitive fields (e.g. PII, PHI) based on role and use case.
- Dynamic Access Controls: Enforces policies in real-time based on Snowflake RBAC, user identity, and context.
- Custom Guardrails: Define and apply business-specific rules across any AI workflow—inside or outside Snowflake.
AI Trust Layer for Cortex
Think of it like a security checkpoint for your AI stack: before an AI model responds to a user, Trust3 checks “should this person see this info, in this context, right now?”
How does AI Trust Layer for Cortex help you?
Today’s AI systems don’t live in a vacuum—they query sensitive internal data and interact with humans in unpredictable ways. Even a well-trained model can accidentally leak data or misbehave if guardrails are missing.
Trust3 brings discipline to the chaos by ensuring that:
- AI applications respect data entitlements and privacy policies
- Developers don’t have to hard-code access logic into every app
Governance and security teams retain control even as AI use scales. Whether you’re building AI agents in Snowflake or calling external LLMs via APIs, Trust3 works at the boundary to enforce policy without slowing innovation.
Real-World Use Cases
Financial Services: AI Customer Assistant
A banking agent asks an AI assistant, “What’s the credit limit and transaction history for John Doe?” Trust3 ensures:
- Only users with proper entitlements see sensitive financial fields
- Social Security Numbers and card numbers are redacted
- The AI cannot be tricked into revealing restricted information via cleverly worded prompts
Healthcare: Medical Knowledge Assistant
Doctors query an AI agent for treatment recommendations or patient summaries. Trust3 ensures:
- PHI is automatically redacted based on HIPAA rules
- Only authorized roles can access diagnostic histories or notes
Usage is logged for audit and compliance reviews
Built for Snowflake, But Not Just for Snowflake
Trust3 integrates directly with Snowflake RBAC and Cortex workflows, but it’s not limited to Snowflake. You can apply the same enforcement layer across:
- Public LLM APIs (like OpenAI or Anthropic)
- Embedded assistants in Salesforce, Workday, or custom apps
- External RAG systems calling into enterprise knowledge stores
Wherever AI is being used to access sensitive data, Trust3 can serve as the policy and protection layer.
Summary
AI is moving fast and so are the risks. Trust3 gives enterprises a simple but powerful way to apply security, redaction, and real-time controls across their AI stack.
You can find the AI Trust Layer for Cortex app live in the Snowflake Marketplace and start adding security without slowing innovation.
Want to learn more or request a demo? Visit trust3.ai.
