# LLM Governance — AI Visibility at the LLM Layer > 9 runtime governance modules. The dashboard your CISO has been asking for. Live monitoring, forensic traceability, and continuous optimisation, in the box — not a separate paid add-on like Arize, LangSmith, Datadog LLM Observability, or W&B Traces. Canonical URL: https://neuralseek.com/llm-governance Alternate (HTML): https://neuralseek.com/llm-governance Content-Type: text/markdown; charset=utf-8 ## Hero Stats - **9** Governance Modules - **35+** Live Metrics - **200+** Models Benchmarked - **100%** Audit Attribution - **1–30 days** Configurable Lookback - **4+** SIEM Export Destinations ## Trust Anchors - Distribution-aware: min / avg / max on every gauge — not just averages. - Closed-loop remediation: click-to-fix on the dashboard, not just observe. - Full forensic record: every prompt, every answer, every config change. - Drift detection at the intent level — 1 to 30 day windows. --- ## Three Pillars - **Live Monitoring.** Real-time KPI gauges on confidence, coverage, prompt injection, PII, profanity, cost. The single pane of glass for AI ops. - **Forensic Traceability.** Every question, every answer, every config change, every model decision — logged, timestamped, attributable, exportable. - **Continuous Optimization.** Side-by-side model bake-offs, per-intent and per-document drill-downs, hallucination forensics with one-click remediation. --- ## The 9 Modules ### Module 01 · Overview — The 4-Second Health Check Open the page. See if your AI is healthy. Right now. Six semicircular gauges and a Top-Intents bubble chart on a single page. Open it, see if your deployment is healthy, get back to work. Every gauge surfaces the full min / avg / max distribution — not just the average. Tags: Distribution-aware · Single pane of glass · 6 gauges + bubble chart. Underplayed angle: the min/avg/max banding is genuinely better than what most observability tools show by default. ### Module 02 · Semantic Insights — Hallucination Forensics, Live Watch hallucination happen in real time. Click to fix it. Answer Source Jumps. Answer Source Standard Deviation. Longest Source Phrase. Top Source Coverage. The leading indicators of hallucination, rendered in real time. Then a Top Hallucinated Terms pie — click any term to add it to your allowlist. Tags: Closed-loop remediation · Source jumps · Click-to-allowlist · 9 gauges. Underplayed angle: the click-to-allowlist hallucinated terms is a closed-loop remediation feature. Most platforms show you the problem; this one fixes it with a click. ### Module 03 · Documentation Insights — The ROI of Every Document Stop guessing which docs matter. KnowledgeBase confidence and coverage gauges, then a Most-Referenced-Documents pie and a Most-Referenced-URLs pie. Stop guessing which docs matter — see which docs are actually answering questions. Tags: Content ROI · Per-document analytics · Per-URL analytics. Underplayed angle: also a content-ROI tool. Useful for content-team budget justification. ### Module 04 · Intent Insights — AI Drift Detection at the Intent Level Drill into any intent. See exactly where your AI struggles. A 1-to-30-day lookback slider and twin ridge-plot columns — coverage and confidence per intent, sorted by frequency. Ridge plots over a 30-day window means you can spot regressions: intents that are bimodal, intents that have drifted, intents that need attention now. Tags: Drift detection · Ridge-plot distributions · 1-30 day lookback. Underplayed angle: ridge plots over a 30-day window means you can spot regressions. This is AI performance drift detection at the intent level. ### Module 05 · Token Insights — Operational Telemetry Track every token. Know your unit economics. Total tokens, generated tokens per seek, input tokens per seek, cost per 1k seeks, and — unusually — token generation per second. Throughput, capacity, cost per unit. The data finance asks for. Tags: Throughput · Latency · Cost-per-1k · Tokens-per-second. Underplayed angle: tokens-per-second is a latency / throughput proxy. Combined with cost-per-1k-seeks, this is the data a CFO needs to model unit economics. ### Module 06 · Cost Insights — Live Model Cost Ranking See exactly what each model costs you. Decide where to spend. A horizontal bar chart ranking 200+ specific model variants by real cost — gpt-5.5-pro, Claude 4.7 Opus, Claude 4.6 Sonnet, o3-deep-research, GPT-4o, every variant the customer has connected. Live, real-data ranking. The procurement story. Tags: 200+ models ranked · Live customer data · Procurement. Underplayed angle: 200+ specific model variants ranked on live customer usage — not a static comparison page. ### Module 07 · Seek Logs — The Forensic Record Every question. Every answer. Every metric. Searchable. Transaction-level audit log: every question, every answer, intent, category, score, latency. Sortable, searchable, filterable. SIEM-grade visibility. Exportable to S3, Splunk, Datadog, or your own SIEM in syslog / CEF / JSON. Tags: S3 · Splunk · Datadog · SIEM. Underplayed angle: combined with the export-to-SIEM capability, this is the complete forensic record for any AI-driven decision. ### Module 08 · Model Comparison — Built-In LLM Bake-Off Test models head-to-head before you commit. Pick any number of configured models — Managed GPT, Managed GPT-4o, Claude Opus, Sonnet, Haiku — enter a question, run side-by-side. Results table shows response time, semantic score, LLM rank. Persistent Previous Runs tab archives every comparison for procurement and audit. Tags: Persistent · Procurement-ready · Audit-archived. Underplayed angle: a persistent governance feature with a Previous Runs tab — decisions are archived, not one-off. ### Module 09 · Configuration Insights — Git for AI Configuration Every config change. Versioned. Attributable. Diffable. Rewindable. A version-comparison diff view of every configuration change — red / green redlines on apiKey, charCount, elasticSchema, kbCacheTimeout, link, maxDocs, projectId, serviceUrl, every field. Each change attributed to a named user with a timestamp. A timeline scrubber across versions. Diffable, rewindable, attributable. Tags: Version control · 100% user attribution · Timeline scrubber. Underplayed angle: Git-style version control for AI configuration, with diffs, timestamps, and user attribution. Rare in AI platforms. --- ## Cross-Cutting Themes Five disciplines that thread through every module: - **Distribution-aware monitoring.** Min / avg / max on every gauge — not just averages. - **Closed-loop remediation.** Click-to-fix on the dashboard, not just observe. - **Full forensic stack.** Seek Logs + Configuration Insights + Audit & Compliance Guardrails = complete forensic record. - **Distribution drill-down.** Aggregate to anomaly to action in three clicks. - **Live cost & throughput.** FinOps for AI, CFO-grade unit economics. --- ## Related Resources - HTML page: https://neuralseek.com/llm-governance - 118 AI Guardrails (configurable control surface): https://neuralseek.com/guardrails - Agent Governance (agent-layer counterpart): https://neuralseek.com/agent-governance - Platform overview: https://neuralseek.com/ - Documentation: https://documentation.neuralseek.com/ - Trust Center: https://neuralseek.com/trust-center - Contact us: https://neuralseek.com/contact