About Mave
Mave runs investigations, searches, threat hunts, detection hardening, and governed responses across a customer's existing stack. Mave integrates through APIs across every kind of tool. Mave integrations start read-only.[4][14]
Mave states that a security team runs dozens of tools and still cannot prove there are no blind spots. Mave states that a SIEM waits for the user to write the query and read the result. Mave says SecOps is too fragmented to run from one data store or one alert queue.[3][4]
Mave pulls alerts, gathers context from every connected tool, and returns an evidence-backed verdict. Ask Mave lets a customer's team query the entire stack in plain language, with no query syntax required. Mave scores live campaigns against the customer's environment and watches for dormant indicators reactivating. Mave generates a response for each incident according to its blast radius.[3][4]
Mave lets the customer set what runs automatically and what waits for a human: notify, ticket, document, or remediate. Mave requires review for workflow actions and detection updates. Mave uses fine-grained, per-platform API permissions and is read-only on day one. Mave shows what every agent queried, how it correlated, what it concluded, and why.[3]
Mave offers a solution for bringing alert triage, investigation, and response in-house. Mave queries the systems that already hold a customer's data, gathers the required evidence, determines root cause and scope, and takes the next authorized action. Mave can close alerts, update cases, trigger containment, and execute remediation through connected tools. Mave connects on-premises workloads and security tools through lightweight, scoped bridges and combines their live context with cloud and SaaS integrations during each task. For organizations with multiple SIEMs, tenants, and subsidiaries, Mave connects to each SIEM and security tool through scoped APIs and queries data where it lives. Mave keeps context, permissions, and data access separated by environment.[1][4][5][6][7][8][10][13][14]
In the MSSP setting, every Mave agent operates with client-specific context, threat intelligence, permissions, and response policies. Mave applies threat intelligence to the customer's environment and runs continuous, cross-tool threat hunts across the SIEM, EDR, cloud, identity, and other security tools. Mave starts a hunt with a campaign, actor, vulnerability, indicator, technique, or analyst hypothesis. Mave finds coverage gaps, tunes noisy detection rules, and creates new detections from threat intelligence, hunts, and investigations. Mave works across detection languages and formats, including SPL, KQL, YARA-L, Sigma, EQL, Lucene, and SQL-based rules. Mave determines which campaigns, actors, vulnerabilities, indicators, and techniques are relevant to the customer's environment.[1][3][6][9][10][11][12]
Mave is priced by the number of endpoints a customer protects and the size of the team, not by the volume of data. Mave offers managed, searchable retention for security data, with hot and cold tiers set per source. Mave offers managed services: context tuning, threat hunting, detection engineering, and reporting. Mave offers an alternative package for smaller teams at a fixed price.[1][2][3][6][7][9][10][11][12][13][14]
Mave on the record