Obsonis
Obsonis provides a cyber exposure management platform that discovers every device across on-site, remote, and cloud environments without requiring agents. The platform scores devices and users from 0 to 10 using a transparent seven-tier algorithm that prioritizes actively exploited vulnerabilities from CISA KEV over theoretical severity, and feeds posture data into existing Zero Trust platforms, SIEMs, and communication tools.
- Cybersecurity
- Software Only
- Artificial Intelligence
Funding
Founders
Founder details are not available yet.
Product
Problem
Organizations lack a complete view of every device on their networks, especially those belonging to remote workers and personal devices outside the corporate perimeter. Without full visibility, security teams cannot identify which vulnerabilities are actively exploited in the wild, leading to unpatched risks and delayed responses to threats.
Solution
Obsonis provides a cyber exposure management platform that discovers every device across on-site and remote networks without requiring agents. The platform scores each device and user from 0 to 10 based on vulnerability data from NIST NVD, CISA KEV, Exploit-DB, and Google Android Security Bulletins, prioritizing actively exploited vulnerabilities over theoretical severity. It tracks CVEs across multiple CVSS versions, flags CISA KEV items, and maps potential kill chains and lateral movement paths. Obsonis feeds device posture, identity context, and risk signals into existing Zero Trust platforms, SIEMs, SOAR tools, and communication channels, allowing organizations to act on accurate data without deploying another enforcement point.
Target Audience
Primary customers are security teams and IT administrators in small and medium businesses plus enterprises that need continuous threat exposure management without a separate asset management or external attack surface management platform.
Features
- Agentless device discovery across hybrid working environments with hardware and OS fingerprinting down to vendor and model, plus read-only cloud scanning for AWS, Azure, and Google Cloud workloads
- Transparent seven-tier risk scoring algorithm that ranks vulnerabilities by real-world exploitability rather than raw severity, with logarithmic scoring within tiers and scores adjustable by organization preference
- Real-time CVE mapping across every discovered device with CISA KEV integration, Exploit-DB published exploit detection, and filterable reports for audits and board briefings
- Native Model Context Protocol (MCP) server enabling natural language queries against device inventory and vulnerability data from LLM clients like Claude and ChatGPT
- Seven remediation strategies with Maxwell AI generating plain-English, step-by-step fix instructions per device and OS
- Ten-state posture model from Trusted to Denied, with ZTNA posture feeds for Tailscale, Twingate, and Prisma Access
- Optional Hardware Scanner that finds devices regardless of power state, including always-off equipment
- Unlimited assets with no per-device metering and no asset tax, with all features included in both Small Business and Enterprise editions
- Integration with Splunk, Sumo Logic, Meraki, Slack, Teams, and REST API
- Evaluation against 16+ compliance frameworks including CMMC 2.0, NIST SP 800-171, PCI-DSS v4.0, ISO 27001:2022, SOC 2 Type II, and HIPAA