Engineer your Telemetry for AI

Stop wasting your model’s context window on noise. Transform raw logs into enriched, structured, and compliant datasets built for RAG and Fine-Tuning.

Why Raw Telemetry is not AI-Ready

The Signal-to-Structure Protocol

DataForces ingests raw, messy streams and instantly transforms them into context-rich, AI ready assets.

🔴 Raw Windows EventLog (XML)
<System>
  <Provider Name='Microsoft-Windows-Security-Auditing' Guid='{54849625-5478-4994-a5ba-3e3b0328c30d}'/>
  <EventID>4625</EventID>
  <Version>0</Version>
  <Level>0</Level>
  <Task>12544</Task>
  <Opcode>0</Opcode>
  <Keywords>0x8010000000000000</Keywords>
  <TimeCreated SystemTime='2026-01-16T14:23:45.103488500Z'/>
  <EventRecordID>447749985</EventRecordID>
  <Correlation ActivityID='{D907C589-F5CF-0001-1D98-1B159662D501}'/>
  <Execution ProcessID='720' ThreadID='968'/>
  <Channel>Security</Channel>
  <Computer>WIN-SRV-FIN-01.corp.acme.net</Computer>
  <Security/>
</System>
<EventData>
  <Data Name='SubjectUserSid'>S-1-0-0</Data>
  <Data Name='SubjectUserName'>-</Data>
  <Data Name='SubjectDomainName'>-</Data>
  <Data Name='SubjectLogonId'>0x0</Data>
  <Data Name='TargetUserSid'>S-1-0-0</Data>
  <Data Name='TargetUserName'>j.doe_admin</Data>
  <Data Name='TargetDomainName'>CORP</Data>
  <Data Name='Status'>0xc0000234</Data>
  <Data Name='FailureReason'>%%2304</Data>
  <Data Name='SubStatus'>0x0</Data>
  <Data Name='LogonType'>3</Data>
  <Data Name='LogonProcessName'>NtLmSsp</Data>
  <Data Name='AuthenticationPackageName'>NTLM</Data>
  <Data Name='WorkstationName'>WORKSTATION-X7</Data>
  <Data Name='TransmittedServices'>-</Data>
  <Data Name='LmPackageName'>-</Data>
  <Data Name='KeyLength'>0</Data>
  <Data Name='ProcessId'>0x0</Data>
  <Data Name='ProcessName'>-</Data>
  <Data Name='IpAddress'>192.168.45.12</Data>
  <Data Name='IpPort'>54322</Data>
</EventData>
→
🟡 Purified Asset
"time": "2026-01-16T14:23:45.103Z",
"sourcetype": "WinEventLog:Security:Purified",
"event_id": 4625,
"host": "WIN-SRV-FIN-01",
"user": "j.doe_admin",
"domain": "CORP",
"src_ip": "192.168.45.12",
"src_port": 54322,
"logon_type": 3,
"status_code": "0xc0000234",
"failure_reason": "Account Locked Out",
"workstation": "WORKSTATION-X7",
"auth_process": "NtLmSsp",
"auth_package": "NTLM",
"tags": [
  "auth_failure",
  "lockout_indicator",
  "admin_account"
]
→
🟢 AI-Ready Asset
Context Enrichment
"time": 1768573425103,
"class_uid": 3002,
"class_name": "Authentication",
"status": "Failure",
"status_detail": "Account Locked Out (0xc0000234)",
"actor": {
  "user": {
    "name": "j.doe_admin",
    "domain": "CORP",
    "uid": "S-1-0-0",
    "type": "Admin",
    "email_addr": "john.doe@corp.acme.net"
  }
},
"src_endpoint": {
  "hostname": "WORKSTATION-X7",
  "ip": "192.168.45.12",
  "location": "Brussels-VPN-Pool"
},
"dst_endpoint": {
  "hostname": "WIN-SRV-FIN-01.corp.acme.net",
  "criticality": "High"
},

// CMDB & Identity Enrichment
"enrichment": {
  "identity": {
    "department": "IT Operations",
    "role": "SysAdmin",
    "is_privileged": true,
    "account_status_live": "Locked",
    "manager": "ciso@corp.acme.net",
    "last_password_reset": "2025-11-20"
  },
  "asset": {
    "function": "Finance Database",
    "owner": "Finance-IT-EU",
    "compliance_scope": ["PCI-DSS", "SOX"]
  },
  "threat_intel": {
    "ip_reputation": "Internal (VPN)",
    "geo_ip": "Belgium"
  }
},

// RAG enrichment
"rag_metadata": {
  "document_id": "evt-4625-447749985",
  "chunk_id": 1,
  "embedding_model": "text-embedding-3-small",
  "narrative_summary": "Privileged account 'j.doe_admin' failed a Network logon (Type 3) to critical asset 'WIN-SRV-FIN-01'. The account is currently locked out...",
  "tokens": 52,
  "vector_pointer": "s3://vectors/auth/2026/01/16/vec_447749985.bin"
},

The Bridge Between Infrastructure and Inference

A transparent, high-performance refining layer that sits between your raw telemetry and your AI models.

Stop Feeding Your AI Garbage.

You’ve seen the protocol. DataForces transforms raw noise into the structured fuel your autonomous agents need. Deploy your first pipeline in minutes.