Built for the controls regulators expect.
Private LLMs run inside your existing security perimeter — so the model fits inside the audit, residency, and access controls your compliance team already operates.
- Data residency + retention you control
- Audit log on every prompt, retrieval, and response
- Role-based + document-level access enforcement
LLM.co delivers private, domain-specific language models designed for cybersecurity teams, MSSPs, and government defense units.
Domain-Specific Artificial Intelligence (AI) Solutions
LLM.co provides privacy-first language models tailored for cybersecurity professionals, security vendors, and government defense teams, enabling alert triage, log analysis, threat investigation, and report drafting entirely within organizational infrastructure.
Why Security Teams Choose LLM.co
Air-Gapped or VPC-Based Deployments: Models deploy in fully isolated environments or secure VPCs, ensuring sensitive telemetry and threat intelligence remain under organizational control.
Trained on Cybersecurity Language and Logs: Models are pretrained on CVEs, MITRE ATT&CK, threat feeds, incident reports, SIEM logs, and fine-tuned using organizational detection rules and protocols.
Support for Compliance, Forensics, and Reporting: Automates risk assessments, incident summarization, and audit-ready documentation aligned with SOC 2, NIST, and ISO 27001.
Bring Your Own Data (BYOD): Ingests playbooks, runbooks, detection rules, and policy documents through RAG-based architecture for immediate analyst insight.
Reduce Alert Fatigue and Accelerate Triage: Interprets alerts, correlates logs, and generates analysis for junior analyst review and escalation.
No Hallucinations, No Guesswork: Grounded outputs traced to known sources via retrieval-augmented generation ensure operational accountability.
Key Use Cases
Alert Triage and Incident Summarization
Threat Intel Analysis and Contextualization
SOC Playbook & Runbook Automation
Compliance and Audit Documentation
Red Team/Blue Team Support
Executive Risk Reporting
Total Control Over Security Data
Sensitive logs, telemetry, and policies remain on-premises; deployments are containerized, auditable, and support granular access controls integrated with existing SIEM, SOAR, and GRC tools.
Never transmit data externally or phone home
Fully containerized and auditable
Granular access controls by role, team, or user
Compatible with existing security infrastructure
Security-First Infrastructure for Security-First Teams
End-to-end encryption (TLS 1.3, AES-256)
Zero-trust access controls with SSO, MFA, and role-based segmentation
Air-gapped, offline, or VPC deployment options
Compatibility with hardened Linux distros, SCAP, and STIGs
Model Context Protocol (MCP) for explainable, traceable AI
SOC 2 Type II-ready infrastructure and audit trails
Who Uses LLM.co for Cybersecurity
Internal SOC teams at Fortune 1000 companies
Managed Security Service Providers (MSSPs) and MDR vendors
Government and defense cybersecurity units
Cloud security and identity platforms embedding secure AI
GRC and compliance teams managing frameworks at scale
Private AI On Your Terms
Tell us your use case and constraints — on-prem, cloud, or edge — and we'll map a compliant deployment within one business day.
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