Use Cases
How Superagent protects AI agents from real-world failures.
Block malicious or unsafe tool use and privilege escalation
Agents with tool access may perform actions they should not. Guardrails inspect and block unauthorized tool calls based on defined policy.
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.
Detect agent routing errors in multi-agent systems
In larger systems with specialized agents, the wrong agent may receive sensitive data. Tests catch misrouting or incorrect delegation patterns.
Detect and block hidden jailbreak instructions in PDFs or attachments
Files can contain embedded instructions that manipulate the agent. Guardrails parse and neutralize malicious or hidden prompts inside uploaded documents.
Detect and block malicious tool outputs returned to the agent
An agent that processes PDFs, emails, or images may be manipulated by hostile outputs from upstream tools. Guardrails inspect tool responses before the agent consumes them.
Detect and block prompt injections from user-generated content
Public-facing agents can ingest comments, product descriptions, or feedback fields with embedded injections. Guardrails neutralize unsafe inputs before they reach the LLM.