diff --git a/src/fgai/dashboard.py b/src/fgai/dashboard.py
index f2ccd92..aa9f307 100644
--- a/src/fgai/dashboard.py
+++ b/src/fgai/dashboard.py
@@ -163,6 +163,29 @@ function compactRelatedActivity(rows) {
   }
   return [...groups.values()].sort((left,right) => (right.security-left.security) || (right.count-left.count)).slice(0,25);
 }
+function inferredProfileType(row) {
+  const explicit = row.detected_log_type || (row.discovery || {}).log_type;
+  if (explicit) return explicit;
+  const haystack = `${row.stream_name || ''} ${(row.common_fields || []).map(item => item.field || '').join(' ')} ${(row.categorical_fields || []).join(' ')}`.toLowerCase();
+  if (/(windows|winlog|sysmon|powershell|security event)/.test(haystack)) return 'windows';
+  if (/(fortigate|firewall|policyid|dstport|srcport)/.test(haystack)) return 'firewall';
+  if (/(dns|adguard|query_domain|dns_query|\\bqh\\b)/.test(haystack)) return 'dns';
+  if (/(nginx|apache|iis|squid|proxy|url|request_uri)/.test(haystack)) return 'web_proxy';
+  if (/(audit|app|application|serverlog|prod)/.test(haystack)) return 'application';
+  return 'unknown';
+}
+function profileDiscoveryDetails(row) {
+  const d = row.discovery || {};
+  if (!d.field_count) {
+    const common = (row.common_fields || []).slice(0,8).map(item => `${item.field} ${(Number(item.coverage || 0)*100).toFixed(0)}%/${item.unique_values}`).join(', ');
+    return `<details><summary>waiting for discovery data</summary><p>This row was produced before profile discovery metadata was added. Wait for the next monitor cycle after updating, or re-apply/edit the profile.</p><p><b>Observed common fields</b><br>${esc(common || '-')}</p></details>`;
+  }
+  const selected = d.selected_fields || {};
+  const top = (d.top_fields || []).slice(0,8).map(item => `${item.field} ${(Number(item.coverage || 0)*100).toFixed(0)}%/${item.unique_values}`).join(', ');
+  const rejected = (d.rejected_fields || []).slice(0,8).map(item => `${item.field}: ${item.reason}`).join('; ');
+  const reasons = (d.reasons || []).join('; ');
+  return `<details><summary>${esc(d.field_count)} fields analyzed</summary><p><b>Selected</b><br>Entity: ${esc((selected.entity || []).join(', ') || '-')}<br>Time: ${esc((selected.time || []).join(', ') || '-')}<br>Categorical: ${esc((selected.categorical || []).join(', ') || '-')}<br>Numeric: ${esc((selected.numeric || []).join(', ') || '-')}</p><p><b>Top fields</b><br>${esc(top || '-')}</p><p><b>Rejected</b><br>${esc(rejected || '-')}</p><p>${esc(reasons || '')}</p></details>`;
+}
 function drawTrend(history) {
   const canvas=document.getElementById('trendChart'), ctx=canvas.getContext('2d'), ratio=window.devicePixelRatio||1, cw=canvas.clientWidth, ch=canvas.clientHeight;
   canvas.width=cw*ratio; canvas.height=ch*ratio; ctx.scale(ratio,ratio); ctx.clearRect(0,0,cw,ch);
@@ -298,7 +321,7 @@ async function refresh() {
   document.getElementById('profileSuggestions').innerHTML = visibleProfileSuggestions.length ? table(visibleProfileSuggestions, [
     {label:'Stream', key:'stream_name'},
     {label:'Events', key:'events'},
-    {label:'Type', render:r => esc(r.detected_log_type || (r.discovery || {}).log_type || '-')},
+    {label:'Type', render:r => esc(inferredProfileType(r))},
     {label:'Confidence', key:'confidence'},
     {label:'Advisor', render:r => esc((r.profile_advisor || {}).status || (advisor.enabled ? advisor.status : 'heuristic'))},
     {label:'Profile', render:r => r.profile_exists ? 'exists' : 'new'},
@@ -307,7 +330,7 @@ async function refresh() {
     {label:'Baseline fields', render:r => esc([...(r.categorical_fields || []), ...(r.numeric_fields || [])].slice(0,8).join(', ') || '-')},
     {label:'Detectors', render:r => esc(Object.keys(r.detectors || {}).join(', ') || '-')},
     {label:'Common denominators', render:r => esc((r.common_fields || []).slice(0,5).map(item => `${item.field} ${(item.coverage*100).toFixed(0)}%`).join(', ') || '-')},
-    {label:'Discovery', render:r => { const d=r.discovery || {}; const selected=d.selected_fields || {}; const top=(d.top_fields || []).slice(0,8).map(item => `${item.field} ${(Number(item.coverage || 0)*100).toFixed(0)}%/${item.unique_values}`).join(', '); const rejected=(d.rejected_fields || []).slice(0,8).map(item => `${item.field}: ${item.reason}`).join('; '); const reasons=(d.reasons || []).join('; '); return `<details><summary>${esc(d.field_count || 0)} fields analyzed</summary><p><b>Selected</b><br>Entity: ${esc((selected.entity || []).join(', ') || '-')}<br>Time: ${esc((selected.time || []).join(', ') || '-')}<br>Categorical: ${esc((selected.categorical || []).join(', ') || '-')}<br>Numeric: ${esc((selected.numeric || []).join(', ') || '-')}</p><p><b>Top fields</b><br>${esc(top || '-')}</p><p><b>Rejected</b><br>${esc(rejected || '-')}</p><p>${esc(reasons || '')}</p></details>`; }},
+    {label:'Discovery', render:r => profileDiscoveryDetails(r)},
     {label:'Action', render:r => r.profile_exists ? '<button type="button" disabled>Applied</button>' : `<button type="button" class="apply-suggested-profile" data-stream-id="${esc(r.stream_id)}">Apply profile</button>`}
   ], 'profile-suggestions') : '<p class="muted">No missing stream profiles. Enable "show existing profiles" to inspect already configured profiles.</p>';
   const llmText = llm.text ? esc(llm.text).replace(/\\n/g, '<br>') : esc(llm.error || 'LLM assessment disabled or waiting for first run.');