Use Cases
How Superagent protects AI agents from real-world failures.
Detect catastrophic failures in enterprise agent deployments
Examples include leaking proprietary IP, leaking sensitive customer data, or performing unauthorized actions. Recurring tests identify high-risk failure modes specific to the customer's system.
Detect when agents exploit policy loopholes
Agents combine allowed steps to achieve disallowed outcomes. Guardrails stop multi-step paths that violate the intent of a policy.
Enforce strict action-policies for agents with write or delete capabilities
Agents that can create tickets, send emails, or modify accounts must not perform these actions outside authenticated, policy-approved contexts. Guardrails validate every action invocation.
Ensure agents interpret policy consistently with compliance rules
Agents may reinterpret or stretch ambiguous text. Tests verify that the model's reading of policy aligns with the organization's requirements.
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.
Ensure no PII is stored in vector databases or embeddings
RAG pipelines often accidentally store names, phone numbers, or identifiers in vectors. Guardrails run pre-embedding PII scanning and enforce safe ingestion.