CyberMindr CTEM Platform

CyberMindr is an AI-native Continuous Threat Exposure Management (CTEM) platform that discovers an organization's external attack surface starting from a single domain name and validates which exposures are actually exploitable. The platform combines OSINT-based reconnaissance (40+ sources plus deep and dark web scanning) with an AI asset-attribution engine to map owned domains, subdomains, cloud assets, IPs, and leaked credentials, including assets missed by seed-based discovery tools. It runs a multi-stage attack engine using over 17,500 scripts to chain individual exposures (e.g. an exposed panel, a leaked credential, an unpatched CVE) into confirmed attack paths, using active validation and proof-of-exploit to reduce false positives. Findings are prioritized by real-world exploitability and business impact, and delivered through board-ready reports (API, web, PDF, XLS) or conversational queries via Claude MCP integration, allowing users to launch scans, validate specific vulnerabilities, and query findings in plain language. The platform also extends coverage beyond the primary organization to subsidiaries, affiliates, vendors, suppliers, and sub-processors for third- and fourth-party risk visibility. It is used for attack path discovery, exposure management, portfolio risk assessment, compliance reporting, cyber due diligence, and third-party risk monitoring. CyberMindr operates as an external-only, non-destructive scanner, does not use customer data to train models, and is ISO 27001 certified.