Drop in the SDK.
Python & JavaScript wrappers sit in front of your LLM calls. Swap openai.chat.completions for driftrail.chat.completions and capture every inference without changing a single prompt.
LLM observability with compliance reporting — and now NEROX GPU optimization, all in one platform.
Works with any LLM provider
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Test models with real-time safety monitoring
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Inference events are stored with tenant, API-key environment, model/provider, latency, token, hash, and residency metadata; audit exports and framework reports are generated from those same tables.
DriftRail records prompt and completion hashes on ingest, can encrypt stored payloads, and runs PII/PHI detection plus inline guardrails so teams can redact or review sensitive content before it is reused downstream.
DriftRail supports GDPR settings, DSAR export and erasure workflows keyed by hashed subject identifiers, retention policy APIs, and GDPR report sections generated from event and audit evidence.
DriftRail's compliance analyzer includes EU AI Act reference material, while event logs, risk classifications, drift signals, and custom reports provide evidence inputs for an AI Act readiness review.
DriftRail compliance now ships alongside NEROX — GPU-annealing solvers, quantum QAOA, and Nimbus SEC red-team. Single sign-on, single bill, single audit trail across your entire AI stack.
GPU annealing, parallel-GPU, Tabu, hybrid, and QAOA simulator (up to 64 qubits) for TSP, portfolio, scheduling, VRP, max-cut, QUBO, and graph colouring.
AI red-team with 100+ Day-0 attacks, Claude Opus 4.7 adaptive engine, model-file scanning, multi-language probes, and 1-SEC PvP arena. OWASP LLM 2025 + MITRE ATLAS on every finding.
DriftRail's core: SOC 2, HIPAA, GDPR, and AI Act readiness reports, drift monitoring, LLM event classification, and audit-ready evidence exports.
Six modules under one roof — Dashboard, Optimize, Sandbox, Benchmark, Datasets, Nimbus SEC. ⌘K to navigate · ⌘, for settings · ⌘. for activity. SSO via Clerk. Team workspaces with shared scan history, BYOK keys, and SIEM destinations.
A real prompt-injection attempt from our red-team corpus, and the full DriftRail event your webhook receives.
"event_id": "evt_3H2xQ1n4BpLk", "ts": "2026-04-21T14:12:07.418Z", "decision": "block", "risk": { "score": 0.94, "tier": "high", "fired": [ "prompt_injection", "translation_smuggling" ] }, "classifier": { "model": "driftrail-gx-1.2", "confidence": 0.987, "latency_ms": 42 }, "compliance": { "soc2": { "cc7": true }, "gdpr": { "art6_basis": "legit_interest" }, "eu_ai": { "tier": "high", "art12_logged": true } }, "audit": { "hash": "sha256:9f8a2b1c..e4", "chain": "evt_3H2xQ1n4BpLj", "region": "eu-west-1" }
Production events flow through the same SDK, classifier, audit log, and dashboard path.
We sit between your application and your model provider, capturing everything without blocking functionality.
SDK drops into any app instantly. Captures prompts, outputs, retrieved sources, latency, and token counts.
Hallucination detection and PII flagging powered by Gemini Flash Lite.
Nightly comparison of risk distributions vs baseline. Get alerted when behavior changes.
Structured audit logs redact common PII in details. Export full logs as JSON, CSV, or PDF for compliance reviews instantly.
Python & JavaScript wrappers sit in front of your LLM calls. Swap openai.chat.completions for driftrail.chat.completions and capture every inference without changing a single prompt.
Prompts, completions, tool calls, retrieved sources, latency and token counts are pushed to DriftRail on a background task. Your response time is untouched — and fail-open means a DriftRail outage never takes your app down.
Separate keys for dev / staging / prod keep test traffic from polluting production evidence. Rotate keys without downtime. Attach scopes, IP allowlists, expirations, and rate limits at the key level.
Run guardrails before responses reach users, then classify captured completions in the background. Guardrail decisions and high-risk classifications feed the same audit and alerting surfaces.
Hash-backed event records and stored payload references feed JSON / CSV / PDF exports for any review window — generated from the same events your app already sends.
Built for teams who can't afford AI blind spots.
Debug production issues faster. See exactly what prompt caused an error, analyze token usage trends, and detect model drift before users complain.
Pre-configured compliance controls, industry-specific detections, and benchmarks for your sector.
HIPAA-ready architecture with PHI detection, medical advice guardrails, optional encrypted payload storage, and BAA available on Enterprise.
SOC 2-ready reporting with financial advice detection, PCI-DSS controls, and exportable audit trails for regulators.
Privilege detection, confidentiality guardrails, and e-discovery ready exports for litigation support.
Beyond our 8 built-in detectors, write custom detection prompts for your specific use case. No ML expertise required — just describe what you want to detect.
Examples: "Detect medical diagnosis without disclaimers" • "Flag competitor product recommendations" • "Identify unauthorized discount offers"
Route notifications for high-risk events, drift detection, and compliance violations into your team's communication channels.
Rich Block Kit alerts with direct dashboard links for fast incident review from Slack channels.
Adaptive Cards with full incident details for Microsoft Teams Workflows and webhook channels.
Webhook embeds with color-coded severity. Perfect for dev teams and open-source projects.
Stop guessing. Start governing. Turn that anxiety into a logged, classified, and auditable system in under 5 minutes.
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