Use Cases
How Superagent protects AI agents from real-world failures.
Ensure PII is not sent to model providers in violation of GDPR
Teams often rely on ZDR but still send raw PII into the LLM. Guardrails filter personal data before it goes to the model, addressing the gaps ZDR does not cover.
Prevent agents from executing unauthorized API calls or tool actions
Agents can trigger internal APIs, internal batch jobs, or third-party integrations they were never meant to touch. Guardrails block calls outside approved patterns.
Prevent agents from prioritizing user satisfaction over policy
Models often 'help' the user by bending rules. Guardrails enforce strict policy adherence regardless of customer sentiment.
Prevent API key leakage in coding agents
Agents can accidentally include API keys or secrets in generated output or commit them into repos. Guardrails catch and block these disclosures before they leave the system.
Prevent financial miscalculations in quoting or billing agents
Tools that calculate prices, generate invoices, or apply discounts can hallucinate numbers or duplicate charges. Superagent tests these scenarios directly.
Prevent hallucinated actions in workflow agents
Agents generating operational actions, tickets, or tasks can hallucinate details like discounts, opening hours, or user data. Tests and guardrails catch these failures before they reach customers.