Mave

Mave is a security operations platform built around an agentic AI workforce designed to automate threat detection, investigation, triage, and response. The platform positions itself as an alternative to traditional SIEM/SOAR toolchains and managed security service providers (MSSPs), targeting security operations teams that face alert overload and tool fragmentation. Core capabilities of the Mave platform include: - Nation-Grade Investigations: AI agents continuously detect, investigate, and triage alerts across a customer's existing security stack. Alerts are treated as hypotheses rather than conclusions, with the system producing root-cause verdicts accompanied by an audit trail and evidence-based outcomes. - Adaptive Threat Coverage: Continuous threat-hunting coverage tests run across the environment, adapting as the customer's stack and adversary tactics evolve, with the goal of surfacing unknown threats before they become incidents. - Closed-Loop Response & Workflow Automation: Response actions are taken directly from within the investigation workflow, with outcomes automatically documented and pushed back into existing tools such as ticketing systems, case management platforms, and SIEM notes. - Federated Data Access: Rather than requiring data ingestion into a central platform, Mave queries connected systems using natural language, providing unified answers without requiring manual pivots or data migration. The platform includes agent governance controls such as approval gates for automated actions, least-privilege API integrations per platform, a complete agent audit trail, and the ability to enrich the system with customer-specific context such as policies, naming conventions, and ownership information. Mave targets security operations teams looking to consolidate detection, investigation, and response tooling and reduce reliance on costly outsourced security services.