Compare AI SOC platforms side by side

Investigates each alert against its Security Context Graph of memories, decision traces, guardrails and architecture, with domain logic for cloud, insider, email, endpoint, identity and phishing alerts.

Correlates identity, cloud, endpoint and SaaS data against a living model of the environment and investigates autonomously; its Cursor case cites 96% of investigations resolved autonomously (Artemis's figure).

Socrates coordinates specialised HyperAgents that gather evidence, assemble timelines and summarise findings per case.

Verdicts come with an evidence trail the team can audit and tune, and decision traces record why analysts decided what they did.

Investigations and proposed actions come with evidence and an impact preview, and an audit trail records who, what and why; step-level agent reasoning is less documented.

Cases carry evidence, timelines and summaries, and Torq stresses transparency, but step-level agent reasoning is less documented publicly than at the leaders.

Names integrations such as Microsoft, Google Workspace, CrowdStrike, SentinelOne, Proofpoint and Slack and says it is stack agnostic, but publishes no integration count or full catalogue.

225+ connectors, including SIEMs it ingests (Splunk, Microsoft Sentinel, CrowdStrike NG-SIEM) and data stores it queries in place (Snowflake, BigQuery, AWS Security Lake).

300 pre-built integrations and 4,000+ pre-built steps, plus AI-generated integrations.

Three modes (Recommend only, Supervised, Auto-run), graduated autonomy with guardrails enforced outside the agent's reasoning loop, and rollback to Supervised when verdicts conflict with analyst reviews.

Acts alone only where pre-authorised, with approval set per action and per connector, impact-checked containment that is reversible by design, and a who, what and why audit trail.

Positions oversight and control as core, with governance and audit logs on workflows.

States it translates existing SOAR playbooks into Gamebooks, replacing brittle API calls while keeping custom logic; the Gamebooks page is built around the SOAR comparison.

An AI-native SOAR builder (visual and natural language) aimed at teams maintaining a SOAR, 300+ actions, a Splunk SOAR connector and automatic playbook update proposals; existing playbooks are rebuilt rather than translated.

Combines agentic and deterministic workflows, with a natural-language workflow builder that suits teams rebuilding playbooks; it is a replacement, so playbooks are rebuilt rather than translated.

SaaS. Mate says it is built on AWS infrastructure and sells through AWS Marketplace; its trust center lists Amazon Web Services and Google Cloud as cloud subprocessors. Self-hosted, customer-tenant and data residency options: not described.

Ingests hot-path data and queries high-volume data where it lives, and describes on-premises execution of actions; tenancy and data residency options are not described.

Described as cloud-native; other deployment options are not described on the pages reviewed.

No price page on Mate's own site; its AWS Marketplace listing shows $150,000 per 12-month contract for the "Mate Enterprise Tier", a usage tier the listing does not define.

No pricing is published.

No public pricing page was found.

• The only platform in this guide whose public material describes translating SOAR playbooks into its own workflow format rather than rebuilding them.
• Graduated autonomy in three explicit modes, with guardrails enforced outside the model and fallback to Supervised mode.
• Investigation grounded in a context graph that records how your team has decided past cases.

• Approval set per action and per connector, the most granular control described here alongside Mate's modes.
• 300+ response actions across major security and IT tools.
• Queries high-volume data where it lives.

• Largest published integration catalogue among the AI SOC platforms here.
• Deterministic and agentic workflows in one engine, which suits teams that want to keep some fixed automations.
• Well funded, with a large enterprise customer list on its site.

• No price page; the marketplace list price covers a tier the listing does not define.
• No published integration count; confirm your SIEM, EDR and ticketing tools are supported.
• Performance figures on its site are Mate's own claims.

• No public pricing.
• Out of stealth since April 2026, so the customer record is short.
• Deployment and residency options not described.
• Outcome figures are Artemis's own claims.

• No public pricing.
• Existing SOAR playbooks are rebuilt in Torq rather than translated; plan the rebuild effort.
• Deployment options beyond cloud are not described publicly.