4Remote
4Remote provides an agentless platform that discovers managed and unmanaged devices across remote and corporate networks, assigning AI-powered risk scores based on vulnerability exposure and patch status. The platform maps known CVEs in real time, integrates CISA's Known Exploited Vulnerabilities catalog, and includes a native Model Context Protocol server for querying security data via LLM tools like Claude or ChatGPT.
- Cybersecurity
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Corporate security tools typically monitor only the managed corporate perimeter, leaving home offices, branch sites, and personal devices as invisible attack surfaces. Unpatched personal devices on home networks—such as media servers—can serve as entry points for breaches that compromise enterprise data, as demonstrated by high-profile incidents originating outside the corporate perimeter.
Solution
4Remote delivers a platform that automatically discovers every managed and unmanaged device across remote and corporate networks without requiring agents to be installed. Each discovered device receives an AI-powered risk score based on vulnerability exposure, patch status, and behavioral signals, weighted by exploitability and business context. The platform maps known CVEs to devices in real time, integrates CISA's Known Exploited Vulnerabilities (KEV) catalog to flag actively exploited vulnerabilities, and generates prioritized remediation queues. A native Model Context Protocol (MCP) server lets security teams query their full device inventory, vulnerabilities, and risk posture directly from LLM tools like Claude or ChatGPT, pulling specific data points on demand. Five integrated views—device discovery, risk scoring, vulnerability intelligence, and MCP integration—provide a continuous, unified picture of the environment.
Target Audience
Primary customers are security and IT operations teams at mid-size to enterprise organizations with distributed workforces, remote offices, and branch sites that need visibility into unmanaged devices beyond their traditional security stack.
Features
- Agentless device discovery across remote and corporate networks, identifying IoT, personal, and shadow IT devices with hardware and OS fingerprinting down to vendor and model
- AI-powered risk scoring for every device, weighted by exploitability and business context, with continuous re-scoring as new threats emerge
- Real-time CVE mapping with CISA KEV integration that flags actively exploited vulnerabilities, filterable by severity, vendor, device type, or location
- Native Model Context Protocol (MCP) server enabling natural-language queries of device inventory, risk scores, and CVE data from any MCP-compatible client
- Prioritized remediation queue and exportable reports for audits and board briefings