Catch hallucinated medical, legal, or financial recommendations
In regulated workflows, agents may invent diagnoses, legal instructions, or investment guidance. Superagent tests these high-risk scenarios repeatedly.
What's at stake
- Medical hallucinations can lead to harmful patient decisions
- Legal fabrications can result in costly missteps or liability
- Financial hallucinations can cause investment losses or compliance violations
- In regulated domains, these errors create professional liability and regulatory exposure
- Users trust agent outputs and may act on invented recommendations without verification
How to solve this
Agents operating in medical, legal, or financial domains face the highest stakes for hallucination. A fabricated diagnosis, an invented legal precedent, or a hallucinated investment recommendation can cause real harm.
The challenge is that LLMs hallucinate with confidence. The model doesn't know what it doesn't know—it presents fabricated medical conditions, made-up legal cases, and invented financial analysis with the same authority as accurate information.
The solution is systematic testing and real-time verification. Tests probe the agent with scenarios that commonly trigger hallucinations in regulated domains. Real-time verification checks outputs against known-good sources and catches fabrications before they reach users.
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 regulated domains, Superagent's Verify model evaluates outputs for unsupported claims. It can detect when an agent makes specific medical, legal, or financial assertions that aren't grounded in provided context. Unsupported claims trigger warnings or blocks before reaching users.
Superagent's Adversarial Tests are especially critical for regulated workflows. Tests systematically probe:
- Medical scenarios where agents might invent diagnoses or treatments
- Legal queries that trigger fabricated case citations or statutes
- Financial questions that lead to invented recommendations or projections
- Edge cases where domain expertise is required but absent
Tests run continuously to catch regressions. Every model update, prompt change, or context modification is validated against your high-risk scenarios. Results show exactly where your agent needs additional guardrails or training.