REAL-TIME INTERCEPTOR API
Catch sensitive data at the boundary.
Put Trustrail between your apps and your LLMs. Scrub personal information and proprietary data from requests, and filter toxic responses before they reach users.
The guardrail layer for enterprise AI
Your models move fast. Your guardrails should too. Protect sensitive data, build compliance evidence, and catch model drift between your app and the LLM.
Built for developers. Designed with risk teams in mind.
Our product commitments
One layer. Three lines of defense.
Data leaks, regulatory exposure, unpredictable outputs: AI risk isn't one problem. Trustrail connects prevention, evidence, and evaluation in one architecture.
THE INTEGRATION POINT
Your app → Trustrail → Your model
A dedicated checkpoint for requests and responses, with evaluation running alongside production.
REAL-TIME INTERCEPTOR API
Put Trustrail between your apps and your LLMs. Scrub personal information and proprietary data from requests, and filter toxic responses before they reach users.
AUTOMATED COMPLIANCE ENGINE
Generate reports aligned to regional frameworks, including the EU AI Act. Give risk and legal teams a clearer view of your guardrails—not another spreadsheet to chase.
CONTINUOUS EVALUATION
Run stress tests in a shadow sandbox alongside production. Surface hallucinations and emerging bias without putting experimental responses in front of customers.
Pricing / built for your risk profile
Usage-based scanning for builders. Dedicated protection and forensic audits for regulated teams.
$0.001/ token scanned
A usage-based interceptor gateway for startups and developer teams.
$5K–$25K/ month
Custom compliance guardrails, dedicated hosting, and priority support. Scope determines your quote.
$50K+/ audit
Deep-dive forensic analysis for finance, healthcare, and defense. Engagements are scoped individually.
For individuals getting started
$0/month
Compliance reports support your review process; they aren't a guarantee of regulatory compliance.
Make the next request a safer one
Bring your AI workflow. Start building a clearer boundary between useful intelligence and unnecessary risk.