Ensure internal agents don't expose roadmap, credentials, or HR data
Enterprise assistants often have access to Notion, Jira, Drive, or SharePoint. Guardrails prevent spillover of internal information into conversations or outputs.
What's at stake
- Internal assistants have broad access to company knowledge bases, documents, and systems
- Product roadmaps, M&A plans, and strategic documents can leak through casual queries
- HR data including salaries, performance reviews, and personal information may be accessible
- Credentials, API keys, and internal configuration can surface in responses
- A single leak can violate NDAs, employment law, or competitive confidentiality
How to solve this
Enterprise AI assistants are powerful because they have broad access. They can search Notion, query Jira, read from Drive, and pull from SharePoint. But this access creates risk—the assistant might surface information that the requester shouldn't see or share externally.
The solution is to filter outputs based on content, not just access controls. Even if the assistant can read a document, certain information from that document should never appear in responses. Roadmap timelines, salary information, credential strings—these should be blocked regardless of who's asking.
This requires inspecting every response before it reaches the user. The filter must understand context: a salary figure mentioned in HR documents is sensitive; a budget number in a public report might not be.
How Superagent prevents this
Superagent provides guardrails for AI agents—small language models purpose-trained to detect and prevent failures in real time. These models sit at the boundary of your agent and inspect inputs, outputs, and tool calls before they execute.
For internal enterprise assistants, Superagent's Redact model scans every response for categories of information that shouldn't be exposed. You define what's prohibited: roadmap dates, salary information, API keys, internal credentials, specific project names, or custom patterns.
Redact evaluates each response in real time. When prohibited content is detected, it's masked or the response is blocked entirely. The assistant continues to function normally for safe queries while preventing sensitive information spillover.
Configuration is flexible—different rules can apply to different user groups or query contexts. Audit logs capture what was filtered and why, giving your security team visibility into potential leak attempts.