Mallory

Mallory is an AI-native threat and exposure management platform designed for security teams. The platform collects intelligence from a broad range of sources — including open sources (Shodan, Censys, VirusTotal), commercial threat intelligence feeds (GreyNoise, Mandiant), underground channels (dark web forums, Telegram), vulnerability and CVE databases (CISA, MITRE ATT&CK), and code repositories (GitHub, GitLab, npm) — and consolidates this data into a structured threat graph. The platform maps incoming threat intelligence against an organization's actual attack surface by connecting to tools already in use, including cloud environments (AWS, Azure, GCP), identity providers (Okta), EDR solutions (CrowdStrike), SaaS platforms, and code repositories. When a new threat or campaign emerges, Mallory determines within minutes whether the organization is affected and notifies the relevant asset owners. Mallory prioritizes exposures based on live adversary behavior rather than static severity scores, then routes remediation work into existing ticketing, SOAR, vulnerability management, and SIEM platforms such as Jira, ServiceNow, Tenable, Qualys, Snyk, and Splunk. Automated agents run scheduled exposure checks across repositories, supply chains, CI/CD pipelines, and tech stacks to proactively identify risks before threats materialize. The platform supports integration via native MCP, Claude Code, a REST API, and webhooks, with over 40 integrations available. It is offered with a 14-day free trial and targets security teams at enterprise and mid-market organizations seeking to reduce exposure response time and prioritize remediation based on real-world adversary activity.