Free IDE extension for risk-free vibe coding — keep secrets out of AI.
LLM Firewall
An LLM firewall sits between your application and the model, inspecting every input and output for threats. SoterAI Guard's LLM firewall provides real-time detection of prompt injection, jailbreaks, PII leakage, unsafe outputs, and policy violations — with configurable enforcement modes and sub-50ms latency.
Inspect every prompt for injection attempts, jailbreaks, malicious instructions, and policy violations before they reach the model.
Scan model responses for leaked system prompts, PII, unsafe content, and suspicious links before serving to users.
Define custom security policies per application, user, or tenant. Enforce in Monitor, Balanced, or Strict mode.
Inspect streaming responses in real time with minimal added latency. Block or redact unsafe content mid-stream.
Every LLM interaction is logged with HMAC-signed audit records for compliance and forensic analysis.
Route LLM calls through the firewall
Add SoterAI Guard as a middleware layer between your app and any LLM provider.
Configure policies
Set which threats to block, log, or allow. Customize per endpoint, user role, or data sensitivity.
Runtime protection
Every input and output is evaluated in real time. Threats are blocked before they reach the model or the user.
Monitor and tune
Review firewall events in the dashboard and adjust policies based on observed traffic patterns.
No security tool is perfect. Here is what this feature does not claim to do, so you can layer defenses appropriately.
The LLM firewall works with OpenAI, Anthropic, Google, AWS Bedrock, Azure OpenAI, and any OpenAI-compatible or Anthropic-compatible endpoint.
Yes. Input inspection adds under 50ms latency. Threats are blocked before the request reaches the LLM provider.
Yes. The firewall inspects streaming output chunk by chunk and can block or redact unsafe content mid-stream.
Free tier available. Integrate with a single SDK call and protect your first AI workflow in under 10 minutes.
