
AI-native platform for continuous threat exposure management and attack path validation.

AI-native platform for continuous threat exposure management and attack path validation.
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CyberMindr provides an AI-driven platform for continuous threat exposure management (CTEM) and attack surface discovery. Starting from a single domain name, the platform identifies an organization's digital assets, including subsidiaries, vendors, and extended supply chain entities, and tests these assets for exploitable vulnerabilities. The platform combines OSINT sources, dark web monitoring, and a library of over 17,500 attack and validation scripts to simulate multi-stage attack scenarios. Findings are validated through proof-of-exploit methods intended to reduce false positives, and vulnerabilities are prioritized based on exploitability and business impact. CyberMindr integrates with third-party code-scanning and cloud security tools, and offers a Claude MCP integration allowing users to launch scans and query findings through conversational prompts. The platform generates reports for different audiences, including technical remediation guidance and board-level summaries, and supports use cases such as attack path discovery, third-party and fourth-party vendor risk monitoring, cyber due diligence for M&A, and portfolio risk assessment for multiple companies. The company positions its offering for security teams, MSSPs, and organizations needing to assess their own exposure as well as that of vendors and acquisition targets. CyberMindr states it is ISO 27001 certified and operates its scanning in an isolated, external-only environment without using customer data for model training.