AIRMDR
Best for fully managed AI-powered MDR and SOC automationAIRMDR delivers a fully managed detection and response service where AI agents handle the heavy lifting of SOC operations around the clock. The platform ingests telemetry from endpoints, networks, cloud environments, and identity systems, then applies specialized AI agents to correlate signals and separate genuine threats from noise. Rather than forwarding raw alerts, AIRMDR's agents perform automated investigation—gathering supporting evidence, querying threat intelligence, and building a complete incident narrative before escalating to human analysts. The SOC automation engine can autonomously contain threats by isolating endpoints, blocking IPs, disabling compromised accounts, and revoking OAuth tokens, all within predefined playbooks. This dramatically reduces mean time to respond (MTTR) by eliminating manual steps that typically add hours to containment workflows. Continuous behavioral analysis establishes baselines for users, devices, and applications, flagging deviations that rule-based systems would miss. AIRMDR is particularly well-suited for mid-market organizations that lack the headcount to staff a 24/7 SOC internally but still face enterprise-grade threats. The managed service model means customers receive continuous coverage without hiring and retaining scarce security talent. Detailed reporting dashboards give security leaders visibility into threat trends, coverage gaps, and response metrics. The platform integrates with major EDR, SIEM, and cloud provider APIs, making deployment relatively fast for organizations with modern tooling already in place.
AI Models
Key Features
- 24/7 autonomous alert triage and threat investigation
- Automated containment: endpoint isolation, account disable, IP block
- Behavioral baseline analysis across users, devices, and apps
- Threat intelligence correlation across global IOC feeds
- Automated incident narrative generation for analyst review
- MTTR reduction through playbook-driven autonomous response
- Continuous coverage dashboard with SLA reporting
- Multi-environment ingestion: endpoints, cloud, network, identity
Integrations
Pricing
Up to 250 endpoints, 24/7 monitoring, basic containment playbooks
500–2,000 endpoints, full automation, dedicated analyst team, SLA guarantees
Unlimited endpoints, custom playbooks, threat hunting, executive reporting
Pros & Cons
Pros
- Fully managed service eliminates the need to hire in-house SOC analysts
- Autonomous containment actions dramatically cut mean time to respond
- Behavioral analysis catches sophisticated threats that bypass signature rules
Cons
- Custom pricing with no public tiers requires a sales conversation to evaluate cost
- Managed service model means less direct control over investigation decisions