Debug AI agent failures. Find the exact decision that went wrong.
DriftShield reconstructs AI agent execution paths and pinpoints where reasoning diverged from expected constraints. Root cause analysis in minutes, not hours.
Built for engineering teams debugging autonomous AI workflows in production.
Why Existing Observability Tools Miss the Root Cause
YOUR STACK TODAY
- Logs
- Trace visualiser
- Observability
- Monitoring
THE MISSING LAYER
- Structured execution graph
- Divergence isolation
- Deterministic failure localisation
HOW IT WORKS
- Ingest
- Reconstruct
- Isolate
- Report
Connect your AI agent traces
Ingests from OpenTelemetry, LangSmith, LangFuse or JSON logs. No code changes to your agents.
Frequently Asked Questions
- Does DriftShield replace LangSmith or tracing tools?
- No. DriftShield operates on top of your existing traces from tools like LangSmith, LangFuse and OpenTelemetry. It adds a forensic analysis layer that reconstructs reasoning chains and isolates where decisions diverged.
- Do we need to modify our AI agents?
- No code changes are required. DriftShield ingests traces in standard formats including OpenTelemetry, LangSmith, LangFuse and JSON logs. Your agents continue running as they are.
- Is our data secure?
- Yes. DriftShield supports secure ingestion with enterprise grade processing. Your trace data is processed in isolation and never shared across tenants.
- How long does integration take?
- Most teams connect in under a day. Full rollout across your agent fleet typically takes less than a week. Initial setup involves connecting your existing trace outputs, with no changes to your agent code or deployment pipeline.
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