diff --git a/docs/plugin-roadmap-2026-07.md b/docs/plugin-roadmap-2026-07.md
index f44f261..495602d 100644
--- a/docs/plugin-roadmap-2026-07.md
+++ b/docs/plugin-roadmap-2026-07.md
@@ -149,9 +149,23 @@ Maskineriet er bygget (krav 1+2+3 + per-kategori-hint); målingen er aldri kjør
 
 **Verifisering:** `test-relabel-dialect` 11/11; git diff **+73/−73** på 51 filer (0 linjer endret utover label-token, verifisert via `grep` på begge dialekt-retninger); revers-substitusjon rekonstruerer original byte-eksakt; idempotent re-run = 0 relabels; ground truth `Kategori 42→0`, `Sist oppdatert 31→0`, `Missing English Last updated 52→21`; suite **782/782** exit 0.
 
+### Enhet 2 — `**Dato:**`→`**Last updated:**` ✅ 2026-07-06
+
+**Premiss-korreksjon (ground-truth `gt-dato-audit` over alle 28 `**Dato:**`-filer, samme header-blokk-def):** roadmap-tallet «`**Dato:**` (16)» var ufullstendig. Faktisk **29 forekomster i 28 filer**, klassifisert:
+- **21 header-kandidater** (header-blokk, ikke list-item, ekte 20xx-dato).
+- **16 «rene»** (`**Dato:**` er ENESTE datofelt) → relabelet i Enhet 2. Dette er de 16 «genuint manglende engelsk».
+- **5 «dual-label»** bærer BÅDE `**Dato:**` (opprettelsesdato) OG `**Last updated:**` (endringsdato) med *distinkte* verdier (f.eks. `Dato 2026-02-04` + `Last updated 2026-06-24`). Blind relabel ⇒ duplikat label / tapt proveniens ⇒ **utskilt til dedup-enhet** (kollisjons-guarden aborterer på dem uansett).
+- **8 body/list/placeholder** (3 advisor `YYYY-MM-DD`-maler, 2 `ros-report-templates` `[YYYY-MM-DD]`, 3 body list-items inkl. `[Dato]`) — aldri i scope (header-scoping + `isRealDateValue`).
+
+**Design-forfining:** en naiv ISO-streng guard (`\d{4}-\d{2}-\d{2}`) ville feilaktig ekskludert ekte verdier `2026-04`, `2026-05`, `5. februar 2026`. Guarden er derfor `isRealDateValue()`: avviser placeholder (`[…]`, `YYYY`/`MM`/`DD`), aksepterer enhver verdi med et 20xx-år. Faktisk sikkerhet = frosset 16-manifest + header-scoping + kollisjons-guard + byte-invariant; `isRealDateValue` er dokumentert forsvar-i-dybde mot template-fellen.
+
+**Utført:** `**Dato:**`→`**Last updated:**` = **16 relabels** på **16** filer. Gjenbrukte Enhet-1-primitiv `relabelHeaderDialect()` med `DATO_LABEL_MAP`; ny driver `scripts/kb-update/relabel-dato.mjs` (frosset 16-manifest, `isRealDateValue`-guard, samme harde per-fil-byte-invariant, idempotent skip, `isMain`-guard). De 5 dual-filene bevisst UTE av manifestet.
+
+**Verifisering:** `test-relabel-dato` 10/10 (inkl. disk-integritet: committed-state + at de 5 dual-filene forblir urørt); git diff **+16/−16** på 16 filer (hver endret linje = label-swap, verifisert begge retninger); revers-substitusjon byte-eksakt; idempotent re-run = 0; verdier bevart (`2026-04`, `5. februar 2026`, …); ground truth `Missing English Last updated (non-advisor) 20→4`, gjenstående `**Dato:**` = 13 (5 dual + 8 body); R22-Enhet-1-tool fortsatt no-op (51/51 already-english); suite **792/792** exit 0.
+
 **Gjenstående decision-(b)-enheter (egne økter, ⊥ R7):**
-- **Enhet 2:** `**Dato:**`→`**Last updated:**` (16) med header-scoping + ISO-dato-guard som ekskluderer template-blokker (fellen).
 - **Enhet 3:** Status-backfill 27 none-filer (`statusForFile`, R21-mønster) + 4 `ai-act-*` plain-blokk-dedup (bold-ify + fjern redundant plain-linjer).
+- **Enhet 3b (NY — dedup):** 5 dual-label-filer med `**Dato:**` (opprettelse) + `**Last updated:**` (endring). Beslutning kreves: behold `**Dato:**` som eget «opprettet»-felt (relabel til `**Created:**`?) vs. fjern som redundant. Fabrikk/slett ALDRI uten operatør-beslutning. Filer: `feedback-loops-continuous-improvement`, `genaiops-llm-specific-practices`, `mlops-security-access-control`, `model-deployment-strategies-azure`, `prompt-flow-production-deployment` (alle mlops-genaiops).
 - **Enhet 4:** 1 datoløs (`decision-trees.md`, git-«innholds-commit»-heuristikk, ALDRI «i dag») + verifiser de 8 «category-none» = ekte gap vs. vindus-artefakt.
 
 ## Parkert (krever eget operatør-go)
diff --git a/scripts/kb-update/relabel-dato.mjs b/scripts/kb-update/relabel-dato.mjs
new file mode 100644
index 0000000..dd50bfa
--- /dev/null
+++ b/scripts/kb-update/relabel-dato.mjs
@@ -0,0 +1,139 @@
+#!/usr/bin/env node
+// Enhet 2 (decision-b dialect pass, path A, ⊥ R7) — pure value-preserving relabel of the third
+// Norwegian header date label to its English equivalent:
+//   **Dato:** → **Last updated:**   (16 files)
+//
+// This is a LABEL rename only: the date value (`2026-06-19`, `2026-04`, `5. februar 2026`, …) is
+// byte-preserved, so no fact is ever fabricated. It reuses the Enhet-1 primitive relabelHeaderDialect()
+// — header-scoped (above the first `---`/`## `), multi-occurrence-guarded, target-collision-guarded,
+// with a hard per-file byte invariant re-proven before any write.
+//
+// Why **Dato:** needed its own unit (deferred from Enhet 1): unlike **Sist oppdatert:**/**Kategori:**,
+// **Dato:** ALSO appears in BODY templates as a placeholder (`**Dato:** [YYYY-MM-DD]`, `YYYY-MM-DD`,
+// `[Dato]`). Header-scoping already excludes those, but this unit adds isRealDateValue() as an explicit
+// defense-in-depth guard that documents — and enforces — the trap: a manifest file's header **Dato:**
+// value must be a real date, never a placeholder.
+//
+// Scope is EXACTLY 16 files: those where **Dato:** is the SOLE date field. Ground-truth audit
+// (2026-07-06) found 21 header **Dato:** candidates; 5 of them ALSO carry **Last updated:** (a distinct
+// creation-vs-modified date pair) → carved out to a later dedup unit, and the collision-guard aborts on
+// them regardless. 8 further occurrences are body/list/placeholder and are never in scope.
+//
+// Usage:  node scripts/kb-update/relabel-dato.mjs [--dry]
+import { readFileSync, writeFileSync, existsSync, realpathSync } from 'node:fs';
+import { join, dirname } from 'node:path';
+import { fileURLToPath } from 'node:url';
+import { relabelHeaderDialect } from './relabel-dialect.mjs';
+
+const __dirname = dirname(fileURLToPath(import.meta.url));
+const PLUGIN_ROOT = join(__dirname, '..', '..');
+
+// The single Dato→English pair for this unit.
+export const DATO_LABEL_MAP = [['**Dato:**', '**Last updated:**']];
+
+/**
+ * Placeholder guard: a real **Dato:** value carries a 20xx year and no template markers.
+ * Accepts every real dialect in the corpus (`2026-06-19`, `2026-04`, `5. februar 2026`);
+ * rejects the body-template traps (`[YYYY-MM-DD]`, `YYYY-MM-DD`, `[Dato]`, empty, `TBD`).
+ * @param {string} value  the text following `**Dato:**` on the header line
+ * @returns {boolean}
+ */
+export function isRealDateValue(value) {
+  const v = String(value ?? '').trim();
+  if (/[[\]]/.test(v)) return false;          // bracketed placeholder: [YYYY-MM-DD], [Dato]
+  if (/Y{2,}|M{2,}|D{2,}/.test(v)) return false; // literal placeholder: YYYY-MM-DD
+  return /20\d\d/.test(v);                     // must carry a real year
+}
+
+// Frozen manifest — the 16 files where **Dato:** is the SOLE date field (header block, real date,
+// NO pre-existing **Last updated:**), verified against ground truth 2026-07-06. The per-file invariant
+// below re-proves each write; the manifest only bounds WHICH files may be touched. The 5 dual-label
+// files (which carry both **Dato:** and **Last updated:**) are DELIBERATELY absent.
+export const MANIFEST = [
+  'skills/ms-ai-engineering/references/mlops-genaiops/cost-optimization-mlops-pipelines.md',
+  'skills/ms-ai-engineering/references/mlops-genaiops/governance-audit-ml-operations.md',
+  'skills/ms-ai-engineering/references/mlops-genaiops/inferencing-optimization-caching.md',
+  'skills/ms-ai-engineering/references/mlops-genaiops/infrastructure-as-code-mlops.md',
+  'skills/ms-ai-engineering/references/mlops-genaiops/monitoring-observability-ml-systems.md',
+  'skills/ms-ai-governance/references/monitoring-observability/anomaly-detection-ai-systems.md',
+  'skills/ms-ai-governance/references/monitoring-observability/application-insights-llm-monitoring.md',
+  'skills/ms-ai-governance/references/monitoring-observability/distributed-tracing-ai-pipelines.md',
+  'skills/ms-ai-governance/references/monitoring-observability/log-analytics-kql-ai-queries.md',
+  'skills/ms-ai-governance/references/monitoring-observability/token-usage-tracking-attribution.md',
+  'skills/ms-ai-governance/references/responsible-ai/ai-governance-structure-framework.md',
+  'skills/ms-ai-governance/references/responsible-ai/red-teaming-ai-models.md',
+  'skills/ms-ai-security/references/ai-security-engineering/adversarial-input-robustness-testing.md',
+  'skills/ms-ai-security/references/ai-security-engineering/model-fingerprinting-watermarking.md',
+  'skills/ms-ai-security/references/ai-security-engineering/secure-model-deployment-hardening.md',
+  'skills/ms-ai-security/references/ai-security-engineering/supply-chain-security-ai-models.md',
+];
+
+function run({ dry }) {
+  const planned = [];
+  const missing = [];
+  let relabels = 0;
+
+  for (const rel of MANIFEST) {
+    const abs = join(PLUGIN_ROOT, rel);
+    if (!existsSync(abs)) { missing.push(rel); continue; }
+    const old = readFileSync(abs, 'utf8');
+    const { content: out, applied } = relabelHeaderDialect(old, DATO_LABEL_MAP);
+    if (applied.length === 0) continue; // idempotent — already relabeled (re-run)
+
+    const o = old.split('\n');
+    const n = out.split('\n');
+
+    // Placeholder guard: every relabeled **Dato:** value must be a real date, not a template.
+    for (const a of applied) {
+      const value = o[a.line].split('**Dato:**')[1] ?? '';
+      if (!isRealDateValue(value)) {
+        throw new Error(`ABORT ${rel}: **Dato:** value is not a real date (placeholder trap): "${value.trim()}"`);
+      }
+    }
+
+    // Hard invariant: exactly `applied.length` lines changed, each is the old line with ONLY the
+    // label token swapped; line count unchanged; everything else byte-identical.
+    if (n.length !== o.length) throw new Error(`ABORT ${rel}: line count changed (${o.length}→${n.length})`);
+    let diffs = 0;
+    for (let i = 0; i < o.length; i++) {
+      if (o[i] === n[i]) continue;
+      diffs++;
+      const hit = applied.find((a) => a.line === i);
+      if (!hit) throw new Error(`ABORT ${rel}: line ${i} changed but not in applied set`);
+      if (n[i].replace(hit.to, hit.from) !== o[i]) throw new Error(`ABORT ${rel}: line ${i} changed beyond the label token`);
+    }
+    if (diffs !== applied.length) throw new Error(`ABORT ${rel}: ${diffs} lines changed ≠ ${applied.length} applied`);
+
+    relabels += applied.length;
+    planned.push({ rel, applied, out });
+  }
+
+  if (missing.length) {
+    console.error(`ABORT — ${missing.length} manifest target(s) not found (corpus drift):`);
+    missing.forEach((m) => console.error('  ' + m));
+    process.exit(1);
+  }
+
+  console.log(`Manifest: ${MANIFEST.length} | files to relabel: ${planned.length} | already-english (skipped): ${MANIFEST.length - planned.length}`);
+  console.log(`  ${relabels}  **Dato:** → **Last updated:**`);
+
+  if (dry) {
+    console.log('\n(dry run — no writes)');
+    for (const p of planned) {
+      const value = p.out.split('\n')[p.applied[0].line].split('**Last updated:**')[1].trim();
+      console.log(`  ~ ${p.rel}  [${value}]`);
+    }
+    return;
+  }
+  for (const p of planned) writeFileSync(join(PLUGIN_ROOT, p.rel), p.out);
+  console.log(`\nWrote ${planned.length} files.`);
+}
+
+const isMain = (() => {
+  try {
+    return realpathSync(process.argv[1]) === realpathSync(fileURLToPath(import.meta.url));
+  } catch {
+    return false;
+  }
+})();
+if (isMain) run({ dry: process.argv.includes('--dry') });
diff --git a/skills/ms-ai-engineering/references/mlops-genaiops/cost-optimization-mlops-pipelines.md b/skills/ms-ai-engineering/references/mlops-genaiops/cost-optimization-mlops-pipelines.md
index a7e11b4..1a27551 100644
--- a/skills/ms-ai-engineering/references/mlops-genaiops/cost-optimization-mlops-pipelines.md
+++ b/skills/ms-ai-engineering/references/mlops-genaiops/cost-optimization-mlops-pipelines.md
@@ -1,6 +1,6 @@
 # Kostnadsoptimalisering i MLOps-pipelines
 
-**Dato:** 2026-04
+**Last updated:** 2026-04
 **Category:** MLOps & GenAIOps
 **Relevans:** Azure Machine Learning, MLOps-implementering, FinOps for AI
 **Type:** reference
diff --git a/skills/ms-ai-engineering/references/mlops-genaiops/governance-audit-ml-operations.md b/skills/ms-ai-engineering/references/mlops-genaiops/governance-audit-ml-operations.md
index e198f42..8284c07 100644
--- a/skills/ms-ai-engineering/references/mlops-genaiops/governance-audit-ml-operations.md
+++ b/skills/ms-ai-engineering/references/mlops-genaiops/governance-audit-ml-operations.md
@@ -1,7 +1,7 @@
 # Governance and Audit Trails in MLOps
 
 **Category:** MLOps & GenAIOps
-**Dato:** 2026-06-19
+**Last updated:** 2026-06-19
 **Confidence:** 95% (High — bygger på offisiell Microsoft-dokumentasjon og Azure-referansearkitekturer)
 **Type:** reference
 **Source:** https://learn.microsoft.com/azure/machine-learning/concept-responsible-ai-dashboard
diff --git a/skills/ms-ai-engineering/references/mlops-genaiops/inferencing-optimization-caching.md b/skills/ms-ai-engineering/references/mlops-genaiops/inferencing-optimization-caching.md
index dae85b4..2baf914 100644
--- a/skills/ms-ai-engineering/references/mlops-genaiops/inferencing-optimization-caching.md
+++ b/skills/ms-ai-engineering/references/mlops-genaiops/inferencing-optimization-caching.md
@@ -1,7 +1,7 @@
 # Inferencing Optimization and Caching
 
 **Category:** MLOps & GenAIOps
-**Dato:** 2026-06-19
+**Last updated:** 2026-06-19
 **Forfattet av:** Cosmo Skyberg, Senior Microsoft AI Solution Architect
 **Type:** reference
 **Source:** https://learn.microsoft.com/azure/machine-learning/concept-onnx
diff --git a/skills/ms-ai-engineering/references/mlops-genaiops/infrastructure-as-code-mlops.md b/skills/ms-ai-engineering/references/mlops-genaiops/infrastructure-as-code-mlops.md
index 4896acd..18869c9 100644
--- a/skills/ms-ai-engineering/references/mlops-genaiops/infrastructure-as-code-mlops.md
+++ b/skills/ms-ai-engineering/references/mlops-genaiops/infrastructure-as-code-mlops.md
@@ -1,6 +1,6 @@
 # Infrastructure as Code for MLOps
 
-**Dato:** 2026-06-19
+**Last updated:** 2026-06-19
 **Category:** MLOps & GenAIOps
 **Forfatter:** Cosmo Skyberg, Senior Microsoft AI Solution Architect
 **Type:** reference
diff --git a/skills/ms-ai-engineering/references/mlops-genaiops/monitoring-observability-ml-systems.md b/skills/ms-ai-engineering/references/mlops-genaiops/monitoring-observability-ml-systems.md
index 76ab4b6..b6e1cf8 100644
--- a/skills/ms-ai-engineering/references/mlops-genaiops/monitoring-observability-ml-systems.md
+++ b/skills/ms-ai-engineering/references/mlops-genaiops/monitoring-observability-ml-systems.md
@@ -1,7 +1,7 @@
 # Monitoring and Observability for ML Systems
 
 **Category:** MLOps & GenAIOps
-**Dato:** 2026-04
+**Last updated:** 2026-04
 **Kilder:** Microsoft Learn (azure-machine-learning, azure-monitor)
 **Konfidensgrad:** ⭐⭐⭐⭐⭐ (Verifisert mot offisiell Microsoft-dokumentasjon)
 **Type:** reference
diff --git a/skills/ms-ai-governance/references/monitoring-observability/anomaly-detection-ai-systems.md b/skills/ms-ai-governance/references/monitoring-observability/anomaly-detection-ai-systems.md
index 13670a5..acebddd 100644
--- a/skills/ms-ai-governance/references/monitoring-observability/anomaly-detection-ai-systems.md
+++ b/skills/ms-ai-governance/references/monitoring-observability/anomaly-detection-ai-systems.md
@@ -1,6 +1,6 @@
 # Anomaly Detection for AI Systems
 
-**Dato:** 5. februar 2026
+**Last updated:** 5. februar 2026
 **Category:** Monitoring & Observability
 **Målgruppe:** AI-arkitekter, DevOps-team, MLOps-ingeniører
 **Type:** reference
diff --git a/skills/ms-ai-governance/references/monitoring-observability/application-insights-llm-monitoring.md b/skills/ms-ai-governance/references/monitoring-observability/application-insights-llm-monitoring.md
index f05e7ef..5ea9317 100644
--- a/skills/ms-ai-governance/references/monitoring-observability/application-insights-llm-monitoring.md
+++ b/skills/ms-ai-governance/references/monitoring-observability/application-insights-llm-monitoring.md
@@ -1,7 +1,7 @@
 # Application Insights for LLM Monitoring
 
 **Category:** Monitoring & Observability
-**Dato:** 2026-02-05
+**Last updated:** 2026-02-05
 **Status:** Komplett
 **Type:** reference
 
diff --git a/skills/ms-ai-governance/references/monitoring-observability/distributed-tracing-ai-pipelines.md b/skills/ms-ai-governance/references/monitoring-observability/distributed-tracing-ai-pipelines.md
index 0445bf9..31cae7a 100644
--- a/skills/ms-ai-governance/references/monitoring-observability/distributed-tracing-ai-pipelines.md
+++ b/skills/ms-ai-governance/references/monitoring-observability/distributed-tracing-ai-pipelines.md
@@ -1,7 +1,7 @@
 # Distributed Tracing for AI Pipelines
 
 **Category:** Monitoring & Observability
-**Dato:** 2026-06-19
+**Last updated:** 2026-06-19
 **Status:** ✅ Komplett
 **Type:** reference
 **Source:** https://learn.microsoft.com/azure/azure-monitor/app/opentelemetry-overview
diff --git a/skills/ms-ai-governance/references/monitoring-observability/log-analytics-kql-ai-queries.md b/skills/ms-ai-governance/references/monitoring-observability/log-analytics-kql-ai-queries.md
index b291c09..c2c36f9 100644
--- a/skills/ms-ai-governance/references/monitoring-observability/log-analytics-kql-ai-queries.md
+++ b/skills/ms-ai-governance/references/monitoring-observability/log-analytics-kql-ai-queries.md
@@ -1,7 +1,7 @@
 # Log Analytics KQL Queries for AI
 
 **Category:** Monitoring & Observability
-**Dato:** 2026-05
+**Last updated:** 2026-05
 **Forfatter:** Cosmo Skyberg, AI Solution Architect
 **Type:** reference
 **Source:** https://learn.microsoft.com/azure/machine-learning/monitor-azure-machine-learning
diff --git a/skills/ms-ai-governance/references/monitoring-observability/token-usage-tracking-attribution.md b/skills/ms-ai-governance/references/monitoring-observability/token-usage-tracking-attribution.md
index 553f3e1..0d6767b 100644
--- a/skills/ms-ai-governance/references/monitoring-observability/token-usage-tracking-attribution.md
+++ b/skills/ms-ai-governance/references/monitoring-observability/token-usage-tracking-attribution.md
@@ -1,7 +1,7 @@
 # Token Usage Tracking and Attribution
 
 **Category:** Monitoring & Observability
-**Dato:** 2026-06-19
+**Last updated:** 2026-06-19
 **Versjon:** 1.0
 **Type:** reference
 **Source:** https://learn.microsoft.com/azure/foundry/concepts/manage-costs
diff --git a/skills/ms-ai-governance/references/responsible-ai/ai-governance-structure-framework.md b/skills/ms-ai-governance/references/responsible-ai/ai-governance-structure-framework.md
index 4c3d9c9..9284b9e 100644
--- a/skills/ms-ai-governance/references/responsible-ai/ai-governance-structure-framework.md
+++ b/skills/ms-ai-governance/references/responsible-ai/ai-governance-structure-framework.md
@@ -1,6 +1,6 @@
 # AI Governance Structure - Building an Organizational Framework
 
-**Dato:** 2026-02-03
+**Last updated:** 2026-02-03
 **Category:** Responsible AI & Governance
 **Målgruppe:** Tekniske beslutningstakere, AI-arkitekter, governance-team
 **Oppdateringsfrekvens:** Kvartalsvis (Q1 2026)
diff --git a/skills/ms-ai-governance/references/responsible-ai/red-teaming-ai-models.md b/skills/ms-ai-governance/references/responsible-ai/red-teaming-ai-models.md
index 0b9388f..0dca15b 100644
--- a/skills/ms-ai-governance/references/responsible-ai/red-teaming-ai-models.md
+++ b/skills/ms-ai-governance/references/responsible-ai/red-teaming-ai-models.md
@@ -1,6 +1,6 @@
 # Red Teaming AI Models - Adversarial Testing & Security
 
-**Dato:** 2026-06-19
+**Last updated:** 2026-06-19
 **Category:** Responsible AI & Governance
 **Målgruppe:** Arkitekter, sikkerhetsteam, AI-utviklere
 **Konfidensgrad:** ⚠️ HIGH — Basert på offisiell Microsoft-dokumentasjon (jun 2026)
diff --git a/skills/ms-ai-security/references/ai-security-engineering/adversarial-input-robustness-testing.md b/skills/ms-ai-security/references/ai-security-engineering/adversarial-input-robustness-testing.md
index 87d5e62..54aee8a 100644
--- a/skills/ms-ai-security/references/ai-security-engineering/adversarial-input-robustness-testing.md
+++ b/skills/ms-ai-security/references/ai-security-engineering/adversarial-input-robustness-testing.md
@@ -1,7 +1,7 @@
 # Adversarial Input Robustness Testing and Fuzzing
 
 **Category:** AI Security Engineering
-**Dato:** 2026-06-19
+**Last updated:** 2026-06-19
 **Status:** Aktiv
 **Type:** reference
 **Source:** https://learn.microsoft.com/azure/foundry/concepts/ai-red-teaming-agent
diff --git a/skills/ms-ai-security/references/ai-security-engineering/model-fingerprinting-watermarking.md b/skills/ms-ai-security/references/ai-security-engineering/model-fingerprinting-watermarking.md
index c03608f..85a6466 100644
--- a/skills/ms-ai-security/references/ai-security-engineering/model-fingerprinting-watermarking.md
+++ b/skills/ms-ai-security/references/ai-security-engineering/model-fingerprinting-watermarking.md
@@ -1,7 +1,7 @@
 # Model Fingerprinting and Watermarking for Attribution
 
 **Category:** AI Security Engineering
-**Dato:** 2026-06-19
+**Last updated:** 2026-06-19
 **Status:** Active
 **Type:** reference
 **Source:** https://learn.microsoft.com/azure/machine-learning/concept-model-management-and-deployment
diff --git a/skills/ms-ai-security/references/ai-security-engineering/secure-model-deployment-hardening.md b/skills/ms-ai-security/references/ai-security-engineering/secure-model-deployment-hardening.md
index f3bceed..b0f59dd 100644
--- a/skills/ms-ai-security/references/ai-security-engineering/secure-model-deployment-hardening.md
+++ b/skills/ms-ai-security/references/ai-security-engineering/secure-model-deployment-hardening.md
@@ -1,7 +1,7 @@
 # Secure Model Deployment and Runtime Hardening
 
 **Category:** AI Security Engineering
-**Dato:** 2026-02-05
+**Last updated:** 2026-02-05
 **Målgruppe:** Arkitekter som skal sikre AI-modeller i produksjonsmiljøer
 **Type:** reference
 
diff --git a/skills/ms-ai-security/references/ai-security-engineering/supply-chain-security-ai-models.md b/skills/ms-ai-security/references/ai-security-engineering/supply-chain-security-ai-models.md
index 73bc4a2..41da776 100644
--- a/skills/ms-ai-security/references/ai-security-engineering/supply-chain-security-ai-models.md
+++ b/skills/ms-ai-security/references/ai-security-engineering/supply-chain-security-ai-models.md
@@ -1,7 +1,7 @@
 # Supply Chain Security for AI Models and Dependencies
 
 **Category:** AI Security Engineering
-**Dato:** 2026-06-19
+**Last updated:** 2026-06-19
 **Relatert plattform:** Microsoft Foundry, Azure Machine Learning, Azure DevOps, Microsoft Defender for Cloud
 **Type:** reference
 **Source:** https://learn.microsoft.com/azure/machine-learning/concept-vulnerability-management
diff --git a/tests/kb-update/test-relabel-dato.test.mjs b/tests/kb-update/test-relabel-dato.test.mjs
new file mode 100644
index 0000000..b7f0f7d
--- /dev/null
+++ b/tests/kb-update/test-relabel-dato.test.mjs
@@ -0,0 +1,151 @@
+// tests/kb-update/test-relabel-dato.test.mjs
+// TDD for Enhet 2 (decision-b, path A, ⊥ R7) — value-preserving relabel of the third Norwegian
+// header date label to its English equivalent, on the 16 ref files where **Dato:** is the SOLE
+// date field (no pre-existing **Last updated:**):
+//   **Dato:** → **Last updated:**   (16 files)
+//
+// Enhet 2 reuses the proven Enhet-1 primitive relabelHeaderDialect() (header-scoped, collision-
+// guarded, byte-invariant) with a Dato-specific label map, plus ONE new piece of production logic:
+// isRealDateValue() — a placeholder guard that rejects the body-template trap (`[YYYY-MM-DD]`,
+// `YYYY-MM-DD`, `[Dato]`) while accepting every real date dialect actually present in the corpus
+// (`2026-06-19`, `2026-04`, `5. februar 2026`).
+//
+// DELIBERATELY OUT of Enhet 2 (carved out after ground-truth audit 2026-07-06):
+//   - 5 DUAL-LABEL files that carry BOTH **Dato:** (creation date) AND **Last updated:** (modified
+//     date) with distinct values. Relabeling would duplicate the label / destroy provenance; the
+//     collision-guard aborts on them by design. Deferred to a dedup unit (Enhet 3-adjacent).
+//   - 8 body/list/placeholder occurrences (advisor YYYY-MM-DD templates, ros-report [YYYY-MM-DD],
+//     3 body list-items incl. [Dato]) — excluded by header-scoping + isRealDateValue.
+
+import { test } from 'node:test';
+import assert from 'node:assert/strict';
+import { existsSync, readFileSync } from 'node:fs';
+import { join, dirname } from 'node:path';
+import { fileURLToPath } from 'node:url';
+import { relabelHeaderDialect } from '../../scripts/kb-update/relabel-dialect.mjs';
+import {
+  DATO_LABEL_MAP,
+  isRealDateValue,
+  MANIFEST,
+} from '../../scripts/kb-update/relabel-dato.mjs';
+
+const PLUGIN_ROOT = join(dirname(fileURLToPath(import.meta.url)), '..', '..');
+
+// The 5 dual-label files carved OUT of Enhet 2 (they already carry **Last updated:**).
+const DUAL_LABEL_FILES = [
+  'skills/ms-ai-engineering/references/mlops-genaiops/feedback-loops-continuous-improvement.md',
+  'skills/ms-ai-engineering/references/mlops-genaiops/genaiops-llm-specific-practices.md',
+  'skills/ms-ai-engineering/references/mlops-genaiops/mlops-security-access-control.md',
+  'skills/ms-ai-engineering/references/mlops-genaiops/model-deployment-strategies-azure.md',
+  'skills/ms-ai-engineering/references/mlops-genaiops/prompt-flow-production-deployment.md',
+];
+
+// ── primitive reused with the Dato label map ───────────────────────────────
+
+test('relabels **Dato:** → **Last updated:**, value byte-identical', () => {
+  const input = '# T\n\n**Category:** X\n**Dato:** 2026-06-19\n**Type:** reference\n\n---\n\n## Body\n';
+  const { content, applied } = relabelHeaderDialect(input, DATO_LABEL_MAP);
+  assert.equal(applied.length, 1);
+  assert.match(content, /\*\*Last updated:\*\* 2026-06-19/);
+  assert.doesNotMatch(content, /\*\*Dato:\*\*/);
+  // Only the label token changed — reversing the sub reconstructs the original exactly.
+  assert.equal(content.replace('**Last updated:**', '**Dato:**'), input);
+});
+
+test('header-scoping: a **Dato:** in the BODY (past first --- / ##) is NOT touched', () => {
+  // The body-template trap this whole unit exists to avoid.
+  const input =
+    '# T\n\n**Dato:** 2026-06-19\n\n---\n\n## Mal\n**Dato:** [YYYY-MM-DD]\n';
+  const { content, applied } = relabelHeaderDialect(input, DATO_LABEL_MAP);
+  assert.equal(applied.length, 1);
+  assert.match(content, /^\*\*Last updated:\*\* 2026-06-19/m);
+  // The body template line survives verbatim.
+  assert.match(content, /## Mal\n\*\*Dato:\*\* \[YYYY-MM-DD\]/);
+});
+
+test('collision-guard: throws when the header already carries **Last updated:** (dual-label file)', () => {
+  // This is the safety net for the 5 carved-out dual-label files: even if one were mis-added to
+  // the manifest, the relabel aborts rather than duplicating the label.
+  const input = '# T\n\n**Dato:** 2026-02-04\n**Last updated:** 2026-06-19\n\n## Body\n';
+  assert.throws(() => relabelHeaderDialect(input, DATO_LABEL_MAP), /already present/i);
+});
+
+test('idempotent: re-running on the relabeled output is a no-op', () => {
+  const input = '# T\n\n**Dato:** 2026-06-19\n**Category:** X\n\n## Body\n';
+  const once = relabelHeaderDialect(input, DATO_LABEL_MAP);
+  const twice = relabelHeaderDialect(once.content, DATO_LABEL_MAP);
+  assert.equal(twice.applied.length, 0);
+  assert.equal(twice.content, once.content);
+});
+
+// ── isRealDateValue: the placeholder guard ─────────────────────────────────
+
+test('isRealDateValue accepts every real date dialect present in the corpus', () => {
+  for (const v of [' 2026-06-19', ' 2026-04', ' 2026-05', ' 5. februar 2026', ' 2026-02-03']) {
+    assert.ok(isRealDateValue(v), `should accept "${v}"`);
+  }
+});
+
+test('isRealDateValue rejects the template placeholders (the trap)', () => {
+  for (const v of [' [YYYY-MM-DD]', ' YYYY-MM-DD', ' [Dato]', '', '   ', ' TBD']) {
+    assert.ok(!isRealDateValue(v), `should reject "${v}"`);
+  }
+});
+
+// ── MANIFEST: structural well-formedness ───────────────────────────────────
+
+test('MANIFEST: exactly 16 distinct, well-formed reference paths', () => {
+  assert.equal(MANIFEST.length, 16);
+  const set = new Set(MANIFEST);
+  assert.equal(set.size, 16, 'duplicate path in MANIFEST');
+  for (const p of MANIFEST) {
+    assert.match(p, /^skills\/ms-ai-[a-z]+\/references\/.+\.md$/, p);
+  }
+});
+
+test('MANIFEST: excludes the 5 dual-label files (carved out to a dedup unit)', () => {
+  for (const dual of DUAL_LABEL_FILES) {
+    assert.ok(!MANIFEST.includes(dual), `dual-label file must not be in manifest: ${dual}`);
+  }
+});
+
+// ── MANIFEST ↔ disk: committed-state ground-truth integrity (guards drift/reversion) ──
+// These pin the DURABLE post-relabel invariant of the committed corpus — re-running the relabel
+// is a no-op, and every manifest file now carries the English label with its date preserved.
+
+function headerBlock(content) {
+  const lines = content.split('\n');
+  for (let i = 0; i < lines.length; i++) {
+    if (/^---\s*$/.test(lines[i]) || /^##\s/.test(lines[i])) return lines.slice(0, i);
+  }
+  return lines;
+}
+
+test('MANIFEST ↔ disk: committed state — English label present, no header **Dato:**, real date, idempotent', () => {
+  for (const rel of MANIFEST) {
+    const abs = join(PLUGIN_ROOT, rel);
+    assert.ok(existsSync(abs), `missing: ${rel}`);
+    const content = readFileSync(abs, 'utf8');
+    const header = headerBlock(content);
+    // Enhet 2 replaced the sole header date label: **Last updated:** present, **Dato:** gone.
+    const luLine = header.find((l) => l.startsWith('**Last updated:**'));
+    assert.ok(luLine, `expected header **Last updated:** in ${rel}`);
+    assert.ok(!header.some((l) => l.includes('**Dato:**')), `stray header **Dato:** remains in ${rel}`);
+    // The preserved value is still a real date, not a placeholder.
+    const value = luLine.split('**Last updated:**')[1] ?? '';
+    assert.ok(isRealDateValue(value), `Last-updated value not a real date in ${rel}: "${value.trim()}"`);
+    // Idempotent: the relabel is a no-op on the committed file.
+    const { applied } = relabelHeaderDialect(content, DATO_LABEL_MAP);
+    assert.equal(applied.length, 0, `relabel is not idempotent on committed ${rel}`);
+  }
+});
+
+test('carve-out ↔ disk: the 5 dual-label files still carry BOTH labels (untouched by Enhet 2)', () => {
+  for (const rel of DUAL_LABEL_FILES) {
+    const abs = join(PLUGIN_ROOT, rel);
+    assert.ok(existsSync(abs), `missing: ${rel}`);
+    const header = headerBlock(readFileSync(abs, 'utf8'));
+    assert.ok(header.some((l) => l.includes('**Dato:**')), `dual file lost its **Dato:** — ${rel}`);
+    assert.ok(header.some((l) => l.startsWith('**Last updated:**')), `dual file lost **Last updated:** — ${rel}`);
+  }
+});