DT-445-updates-proof

docs/about/siem-optimization.mdx

@@ -55,35 +55,9 @@ Key principles include:
 
 AI-based approaches introduce multiple risks that VirtualMetric's deterministic framework eliminates. AI models require training on actual log data, creating privacy and compliance concerns as sensitive security information may be learned by the model. AI processing adds significant latency and computational cost, reducing throughput and increasing infrastructure requirements. Most critically, AI decisions cannot be audited or validated, making it impossible to verify that security-relevant data is preserved.
 
-```mermaid
-graph TD
-    subgraph AI[AI-Based Optimization Risks]
-        R1[Unpredictable Results]
-        R2[May Drop Critical Events]
-        R3[Privacy Concerns]
-        R4[Training on Sensitive Data]
-        R5[Processing Latency]
-        R6[Increased Costs]
-        R7[Non-Auditable Decisions]
-    end
-
-    subgraph VM[VirtualMetric Approach]
-        V1[Deterministic Rules]
-        V2[Guaranteed Field Preservation]
-        V3[No Data Learning]
-        V4[High Performance]
-        V5[Cost Efficient]
-        V6[Fully Auditable]
-        V7[Expert Validated]
-    end
-
-    AI -.->|Risk| Enterprise[Enterprise Security]
-    VM -.->|Safe| Enterprise
-
-    style AI fill:#FFE5E5
-    style VM fill:#BCC0E7
-    style Enterprise fill:#E5E2FB
-```
+|AI-Based Optimization (Risky)|VirtualMetric's Approach (Safe)|
+|---|---|
+|<ul><li>Unpredictable Results</li><li>May Drop Critical Events</li><li>Privacy Concerns</li><li>Training on Sensitive Data</li><li>Processing Latency</li><li>Increased Costs</li><li>Non-Auditable Decisions</li></ul>|<ul><li>Deterministic Rules</li><li>Guaranteed Field Preservation</li><li>No Data Learning</li><li>High Performance</li><li>Cost-Efficient</li><li>Fully Auditable</li><li>Expert Validated</li></ul>|
 
 **DataStream**'s expert-driven approach provides predictable, consistent results that security teams can trust. Every optimization decision is based on analysis of real-world security operations, validated by experts, and documented for audit purposes. Organizations can confidently deploy aggressive optimization knowing that detection capabilities remain intact.
 
@@ -104,7 +78,7 @@ Advantages over AI-based optimization include:
 This approach means administrators configure optimization rules once per vendor, not once per vendor per SIEM platform. A single Fortinet optimization pack automatically reduces data volume for Sentinel, Splunk, Elasticsearch, and all other configured destinations. Changes to vendor-specific filtering rules immediately apply across the entire multi-platform deployment.
 
 ```mermaid
-graph TD
+graph LR
     Vendor[Vendor Logs] --> Pack([Vendor Optimization Pack])
 
     Pack --> Optimized[Optimized Data]
@@ -146,30 +120,7 @@ graph LR
     Logs[Vendor Logs]
 
     subgraph Packs[Vendor Optimization Packs]
-        FN[Fortinet]
-        PA[Palo Alto]
-        CP[Check Point]
-        CS[Cisco]
-        ZS[Zscaler]
-        CT[Citrix]
-        FP[Forcepoint]
-        F5[F5 BigIP]
-        SW[SonicWall]
-        BC[Barracuda]
-        IB[Infoblox]
-        WG[WatchGuard]
-        NZ[Nozomi]
-        AK[Akamai]
-        EH[ExtraHop]
-        DT[Darktrace]
-        CA[CyberArk]
-        VC[Vectra]
-        CR[CrowdStrike]
-        SM[Symantec]
-        SO[Sophos]
-        JN[Juniper]
-        AR[Aruba]
-        S1[SentinelOne]
+	    PEnt["`Fortinet<br>Palo Alto<br>Check Point<br>Cisco<br>Zscaler<br>Citrix<br>Forcepoint<br>F5 BigIP<br>SonicWall<br>Barracuda<br>Infoblox<br>WatchGuard<br>Nozomi<br>Akamai<br>ExtraHop<br>Darktrace<br>CyberArk<br>Vectra<br>CrowdStrike<br>Symantec<br>Sophos<br>Juniper<br>Aruba<br>SentinelOne`"]
     end
 
     Logs --> Packs

docusaurus.config.ts

@@ -92,10 +92,9 @@ const config: Config = {
     [
       require.resolve("docusaurus-lunr-search"),
       {
-        excludeRoutes: [
-          "/1.*/**/*",
-        ],
-      },
+        excludeRoutes: ["/1.*/**/*"],
+        disableVersioning: true,
+      }
     ],
     require.resolve('./plugins/validate-topics'),
     require.resolve('./plugins/validate-images'),