Cybersecurity LLMs
LLM.co delivers private, domain-specific language models designed for cybersecurity teams, MSSPs, and government defense units. Our models are trained on logs, alerts, threat intelligence, and internal playbooks—then fine-tuned to your environment for fast, explainable, and secure outputs. Deployed on-prem or in your VPC, every model is built to support air-gapped workflows, zero-trust principles, and compliance with SOC 2, NIST, and other security frameworks. With no data sent to third parties, your threat response stays fast, accountable, and fully under your control.
Domain-Specific Artificial Intelligence (AI) Solutions
Private, Secure LLMs Built for Cybersecurity Teams and Platforms
LLM.co delivers domain-specific, privacy-first large language models tailored for cybersecurity professionals, security vendors, and government defense teams. Whether you're triaging alerts, analyzing logs, drafting reports, or investigating threats, our platform equips your team with fast, explainable, and compliant AI—deployed entirely within your infrastructure. No public APIs. No data leakage. Just intelligent, on-prem or VPC-hosted AI tuned to your security operations.
Why Security Teams Choose LLM.co
Air-Gapped or VPC-Based Deployments
LLM.co models are built for high-trust, high-stakes environments. Deploy them in fully air-gapped environments, secure enclaves, or your own VPC—ensuring that sensitive telemetry, threat intel, and customer data never leave your control.
Trained on Cybersecurity Language and Logs
Our models are pretrained on a rich mix of cybersecurity documentation: CVEs, MITRE ATT&CK, threat intelligence feeds, incident response reports, SIEM logs, and vulnerability bulletins. We fine-tune your model using your team’s specific detection rules, log structures, and protocols—so the AI speaks your language from day one.
Support for Compliance, Forensics, and Reporting
From SOC 2, NIST, and ISO 27001 to internal GRC workflows, our platform helps automate risk assessments, summarize incidents, and create audit-ready documentation. Every interaction is logged, traceable, and explainable—no black boxes, no surprises.
Bring Your Own Data (BYOD)
Ingest your playbooks, runbooks, threat detection rules, IDS/IPS output, log files, and policy documents. With RAG-based architecture, our platform makes this information instantly retrievable and actionable, giving analysts immediate insight without context-switching.
Reduce Alert Fatigue and Accelerate Triage
Use AI to interpret alerts, correlate log events, and generate first-pass analysis that junior analysts can review and escalate. Reduce manual burden while improving consistency and response times.
No Hallucinations, No Guesswork
Cybersecurity decisions require trust. Our models are grounded in your actual data using retrieval-augmented generation (RAG), ensuring that all outputs can be traced back to known sources and policies. That means zero hallucinations and full operational accountability.
Key Use Cases
Alert Triage and Incident Summarization
Summarize SIEM alerts, identify root causes, and correlate logs across systems. Accelerate decision-making and reduce the burden on Tier 1 analysts.
Threat Intel Analysis and Contextualization
Parse threat feeds, extract indicators of compromise (IOCs), and map findings to frameworks like MITRE ATT&CK. Generate situational awareness with less manual effort.
SOC Playbook & Runbook Automation
Convert static PDFs and SharePoint SOPs into a dynamic, searchable knowledge base your team can interact with in real time. Streamline onboarding and standardize response protocols.
Compliance and Audit Documentation
Assist in drafting incident reports, security assessments, and regulatory filings. Maintain full logs of what the model accessed, when, and why—supporting security, privacy, and governance teams.
Red Team/Blue Team Support
Use LLMs during simulations to log findings, generate summaries, or evaluate past tabletop exercises. Create structured intelligence across adversarial testing environments.
Executive Risk Reporting
Translate technical incident data into executive-friendly summaries that help CISOs and boards understand exposure, containment, and remediation—instantly.
Total Control Over Security Data
With LLM.co, you never send sensitive logs, telemetry, or policies to a third party. Your deployment lives within your environment, trained on your tools and systems, and tailored to your organizational risk profile.
Our models:
- Never phone home or transmit data externally
- Are fully containerized and auditable
- Allow for granular access controls by role, team, or user
- Can integrate with existing SIEM, SOAR, and GRC tools
Security-First Infrastructure for Security-First Teams
Every deployment of LLM.co for cybersecurity includes the following:
- 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
See How Private AI Can Secure Your Future
AI doesn’t belong in someone else’s cloud when you’re protecting your own. LLM.co gives you the power of large language models without ever giving up control over your data, infrastructure, or compliance posture.
Let’s build a cybersecurity LLM that works the way your team does.
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LLM.co: AI Built for Defenders. Private, Explainable, and Designed for Zero Trust.
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