AI-Generated Code Needs Guardrails. Curtail Delivers Them.
AI-generated code can't be trusted. Curtail's ReGrade™ catches errors and feeds fixes back to the LLM — closing the loop for safe, accurate code.
Curtail's ReGrade finds and fixes errors in AI-generated code
AI-generated code creates hallucinations and unasked-for changes, all while insisting the code is correct. ReGrade uses packet-level analysis to catch these errors and feeds critical guardrail information back to the LLM for better solutions.
Powered by NCAST
NCAST (Network Comparison Application Security Testing) is Curtail's patented technology. It sends identical requests to both current and candidate software versions, compares responses at the packet level, and identifies unexpected behavioral differences — no CVEs, prior knowledge, or source code access needed.
No Prior Knowledge Required
No CVEs, vulnerability databases, or source code access needed. NCAST detects behavioral differences purely by comparing traffic between versions.
Record and Replay
Capture any traffic — test, production, synthetic — and replay it against candidate versions. ReGrade doesn't care where the traffic comes from. The more the better.
Zero Code Changes
Operates at the network layer. No SDK, no agents, no instrumentation in your application code.
Capabilities
Preview Changes to Prevent Costly Rollbacks
Replay real traffic against any code change — AI-generated or human-written — before it ships. ReGrade provides deterministic truth that grounds LLM outputs and catches regressions that unit tests miss.
Pinpoint Software Flaws
ReGrade finds behavioral changes introduced by developers or AI agents alike — misconfigurations, broken integrations, undocumented API shifts, and performance degradations — using deterministic packet-level comparison, not probabilistic guesswork.
Behavior Observability
ReGrade maps exactly where code diverges from expected behavior and feeds that actionable detail back to the LLM or developer for precise fixes — cutting wasted tokens and eliminating trial-and-error iterations.
Shorten DevOps Cycles
ReGrade plugs into your CI/CD pipeline to validate every commit, whether from a human or an AI agent. MCP integration lets AI agents self-correct in seconds, saving hours of manual review and thousands of LLM tokens per iteration.
Zero-Day Vulnerabilities
Both human developers and AI coding agents can silently introduce exploitable flaws. ReGrade's deterministic packet-level comparison catches behavioral anomalies that probabilistic scanners miss — before attackers find them.
Save Time And Money
Every code change is validated against real traffic before deployment. By feeding precise differences back to the LLM, ReGrade slashes token usage and shortens feedback loops from hours to seconds — for AI and human workflows alike.
Built into your AI coding workflow
Why Curtail's ReGrade?
Implicit Testing
Every API call becomes a test case — no test scripts to write or maintain.
Production-Grade Confidence
Test with real traffic patterns, not synthetic data.
Patented NCAST Technology
Built on NCAST (Network Comparison Application Security Testing) — packet-level analysis that works with any traffic source, requires no code changes, and handles encrypted traffic transparently.
Partnerships
Get the guardrails you need for safe & accurate AI code
See how ReGrade catches errors in AI-generated code and feeds fixes back to the LLM.