Ask your infrastructure anything in plain English. LocalM's RAG-powered AI chat draws on live system data, CVE feeds and your IT knowledge base to answer instantly — then acts on what it finds. Agentic AI continuously monitors Linux, Windows, network and cloud, detects threats, and auto-remediates issues using Ansible, PowerShell or CLI. No data ever leaves your network.
LocalM replaces your AI assistant, SIEM, AIOps monitor, CVE scanner and automation platform in a single on-premise deployment. No SaaS subscriptions, no external connectivity, no data exfiltration, no integration projects.
Not just alerts — autonomous action. LocalM investigates issues, reasons about root cause, generates the right remediation (Ansible for Linux, PowerShell for Windows, CLI for network devices), seeks approval, and executes — within your risk guardrails.
Three live threat intelligence feeds cross-referenced against every package on every host. Risk-scored, prioritised, and auto-patched at thresholds you control.
All AI inference runs on your hardware via Ollama. No data leaves your perimeter. No API keys. No telemetry. Deployable in air-gapped environments for regulated industries.
LLM analyses every collected log source on a cron schedule. Severity classified, root cause identified automatically.
Scan all packages against NVD/KEV/OSV. Auto-patch at your threshold. Deterministic revert always available.
AI agent investigates, generates playbooks, awaits approval, executes — fully automated closed loop.
ChromaDB vector store fed by Red Hat, Ansible, Kubernetes docs. AI answers grounded in real vendor documentation.
SSH baseline of sshd_config, sudoers, PAM, sysctl. Periodic re-scan detects drift. Acknowledge or escalate.
CIS Benchmark-aligned SSH checks. Per-host posture score trending over time with LLM remediation guidance.
RAG-augmented infrastructure chat. Works 100% offline. Grounded in real vendor docs with session history.
LLM-generated incident post-mortems with timeline, root cause, impact and remediation steps. Markdown export.
Every automated action stores a reversibility payload before execution. Revert any fix from the dashboard in seconds.
Every competing tool does one thing well. LocalM does all of them — on-premise, air-gapped, with no data leaving your network.
| Capability | LocalM | Tenable / Qualys (CVE & Vuln Mgmt) |
Datadog / Dynatrace (AIOps Monitoring) |
Splunk / Elastic (Log & SIEM) |
Ansible Tower / ServiceNow (Automation) |
|---|---|---|---|---|---|
| 100% On-Premise & Air-Gap | ✓ Guaranteed | ✗ Cloud SaaS | ✗ Cloud SaaS | ~ Self-hosted (no AI) | ~ Self-hosted (no AI) |
| AI Chat for Infra (like ChatGPT) | ✓ RAG-powered, offline | ✗ | ~ Basic AI assistant | ✗ | ✗ |
| CVE Scanning (NVD + CISA KEV + OSV) | ✓ 3 live feeds | ✓ Extensive | ~ Limited | ✗ | ✗ |
| CVE Auto-Patching + Safe Revert | ✓ Full auto-patch & revert | ~ Scan only — no auto-patch | ✗ | ✗ | ~ Manual playbook required |
| AIOps Log Analysis | ✓ LLM every log, every cycle | ✗ | ✓ Yes (cloud only) | ✓ Yes (no AI remediation) | ✗ |
| Agentic Auto-Remediation | ✓ Investigate → fix → revert | ✗ | ~ Alert correlation only | ✗ | ~ Rule-based, not agentic |
| Ansible / PowerShell / CLI Generation | ✓ LLM-generated per platform | ✗ | ✗ | ✗ | ~ Manual authoring only |
| Linux + Windows + Network + Cloud | ✓ All platforms | ✓ Yes | ✓ Yes (cloud only) | ✓ Yes (cloud only) | ~ Partial |
| RAG Knowledge Base (offline) | ✓ Built-in ChromaDB | ✗ | ✗ | ✗ | ✗ |
| Auto-Generated Post-Mortems | ✓ LLM-generated | ✗ | ~ Basic reports | ~ Manual reports | ✗ |
| One-Click Revert on Every Action | ✓ Every action | ✗ | ✗ | ✗ | ✗ |
| Est. Cost — 2-VM AWS deploy | ~£650–£1,900/mo 2 VMs on AWS · GPU 12 hrs/day No licence fee. All-in infra cost. | ~£3,000–8,000/mo | ~£8,000–15,000/mo | ~£5,000–20,000/mo | ~£2,000–10,000/mo + eng time |
No single competing product covers all of this
LocalM is the only platform that combines air-gapped AI chat, CVE auto-remediation, AIOps log analysis, and cross-platform agentic automation in a single on-premise deployment. To replicate LocalM with point solutions you would need 4–5 separate cloud tools, external connectivity, and a dedicated integration team — at 20–50× the cost.
* LocalM cost = AWS on-demand pricing for 2-VM deployment (app server: c6a.xlarge–c6a.2xlarge; GPU/LLM server: g5.4xlarge–g5.12xlarge running 12 hrs/day). Starter tier ~$820/mo · Production tier ~$2,400/mo. No software licence fee. Prices vary by region — verify at aws.amazon.com/ec2/pricing.
Book a 45-minute technical demo with one of our engineers. We'll show LocalM detecting and auto-remediating a real infrastructure incident end-to-end.