Agentic data science with the Data Agent Kit
cloud.google.com·7h ago
AI Research
arXiv CS.AI·Aug 31·5 min read
If Agents Were Angels, No Governance Would Be Necessary: Out-of-Band Policy Enforcement at a Trusted Tool Boundary
TL;DR
Out-of-Band Policy Enforcement (OBPE) was developed to enhance data security by controlling agent access to sensitive information. In trials, OBPE reduced data exposure from 57.6% to 0.2%, significantly improving safe data handling.
✦ Why It Matters
Implement Out-of-Band Policy Enforcement to protect sensitive data in your AI applications today.
Key Takeaways
- Implement OBPE to enhance data security.
- Test agents with OBPE to reduce data exposure.
- Use filtering and masking to protect sensitive information.
- Evaluate agent performance with conformance tests.
How It Works
OBPE operates by creating a trusted boundary that authorizes specific operations and narrows queries before they reach the backend. It filters records and masks sensitive values in responses, ensuring that agents cannot access or expose unauthorized data.
This mechanism allows data policy owners to set maximum access limits while enabling agents to operate within those constraints.