Devo vs Mate Security

About Mate Security

Mate Security is a cybersecurity company that provides an AI-powered Security Operations Center (SOC) platform to help security teams investigate, manage and respond to cyber threats. Mate is an agentic cyber defense system that acts across every security use case. Mate grounds AI agents in organization-specific knowledge and validates every decision the agents make. Mate turns an understanding of a customer's organization into what it calls purified knowledge so that AI agents take action across every security use case.^{[1][10][11][12]}

Mate's Security Context Graph continuously maps an organization's architecture, crown jewels, exposures, activity and relationships. Mate captures the context that a customer's tools never recorded, then keeps it sourced, scored and current. Mate captures why an analyst made a call, not just the final verdict. Mate stores data as entities and relationships, and its reason mining engine keeps the underlying reason behind each conclusion.^[3][12][13]

Mate collects the artifacts, history, identities and tool outputs that an expert would check. Mate returns a conclusion with an evidence trail that a team can audit and tune. Mate runs data through cleanup, normalization and correlation.^[3][12]

Mate checks every action against the customer's environment before it runs. Mate scores every action on Confidence, Precision and Reversibility, and the platform enforces this outside the agent's reasoning loop so that Mate cannot widen its own permissions, hide its actions or grade its own accuracy. Mate describes precision as the smallest action that stops the threat, for example revoking the session while keeping the account. Mate acts on its own only where it has earned the right, measured by proven performance against known-answer cases, and escalates the rest.^[3][14]

A Gamebook is Mate's investigation process, built for AI agents. Gamebooks are a structured investigation process where AI agents reason and pivot dynamically within every step, and are customizable to align with a customer's processes. Mate queries tools as a separate flow, with access restrictions for their current task. Mate ships Gamebooks for core investigation domains. A customized Gamebook runs through Mate's evals and tests before it goes live. Customers can write an investigation in plain language, and Mate tests it against past cases, runs it in shadow mode, then waits for sign-off.^[3][4]

Mate migrates existing SOAR playbooks into agentic procedures designed for AI-scale attacks. Mate analyzes and migrates playbooks to Mate Gamebooks, and the Gamebooks are validated before activating. A Fortune 500 enterprise SOC migrated 711 SOAR playbooks into 10 Mate Gamebooks.^[4][14]

Mate extracts IOCs and TTPs, then hunts across every connected tool. Mate's Hunt Agents receive context from the Security Context Graph to understand where risk is highest. Mate moves through the environment, tunes detections as it goes, and pulls additional logs and context when something looks wrong. Mate correlates every match across tools into one picture, maps it to MITRE and provides a detection ready to deploy. Mate creates, tunes or deprecates detections based on investigation outcomes and contextual changes. Mate uses hunts and investigations to create and tune detections and to update the Context Graph.^[3][13]

Blue City is Mate Security's simulated enterprise for testing AI security agents, where business keeps running during an attack and every defensive action has real consequences. Mate's benchmark scenarios build on situations the Mate system resolves in production, rebuilt with synthetic data. Security tools in the benchmark are accessible through the Model Context Protocol (MCP).^{[3][6][7][9][13][15]}