AirMDR Launches Free Agentic AI SOC Platform, Automating 90% of Tier-1 Alert Triage
AI Agent News
AirMDR launched the industry’s first multi-tenant agentic AI SOC platform on August 4, 2025, automating over 90% of Tier-1 alert triage while offering a “Free Forever” plan to eliminate adoption barriers. The announcement at Black Hat USA 2025 signals a fundamental shift from manual security operations to autonomous AI-driven threat detection and response.
The timing reflects a critical infrastructure crisis: security teams face an overwhelming surge of alerts while struggling with a global shortage of qualified SOC analysts. Traditional approaches require extensive playbook coding and six-figure budgets, leaving organizations vulnerable or forcing them to hire analysts they can’t find or afford.
The SOC Analyst Bottleneck
Security Operations Centers generate thousands of alerts daily, with Tier-1 analysts spending their time on repetitive triage work that burns them out while missing genuine threats. The industry standard shows 90%+ of security alerts are false positives, yet manual investigation processes take hours per incident.
Hans Gustavson, CISO of Workato, describes the impact: “AirMDR is triaging nearly 80% of our security findings, allowing our SOC team to stay focused on the most critical threats.” This represents a paradigm shift from humans screening alerts for AI to AI screening alerts for humans.
The multi-tenant architecture specifically addresses Managed Security Service Provider (MSSP) challenges, where a single platform must handle multiple client environments while maintaining strict data isolation—a technical requirement that has limited previous AI SOC solutions.
Agentic AI Architecture
AirMDR’s platform combines autonomous alert triage with AI-powered investigation and remediation capabilities that learn and adapt over time. Unlike traditional SOAR (Security Orchestration, Automation and Response) tools that follow rigid playbooks, the agentic AI approach enables dynamic decision-making and contextual analysis.
Key technical capabilities include:
- Sub-5-minute root-cause analysis with one-click or fully autonomous response
- Multi-tenant operations ensuring client data isolation for MSSPs
- 200+ native integrations with existing security infrastructure
- SOC 2-compliant transparency and audit trails
The “Free Forever” plan supports up to three data sources and 100 alerts per week, providing production-grade results before organizations commit to scaling. This freemium approach removes the traditional barrier where organizations need months of implementation and significant upfront investment to evaluate AI SOC solutions.
Evidence of Market Adoption
Beyond Workato’s deployment, the platform demonstrates clear enterprise traction through its design for both direct enterprise deployment and MSSP service delivery. The multi-tenant capability addresses a significant market gap where traditional AI security tools require separate instances for each client.
The timing of the launch at Black Hat 2025—the industry’s premier security conference—indicates confidence in production readiness and enterprise-scale deployment capabilities. The immediate availability worldwide suggests the platform has already undergone extensive testing and validation.
MSSPs receive flexible licensing and branding options, while enterprise customers can deploy in days rather than months through guided trials and expert tuning services.
Implications for Security Infrastructure
This launch represents the maturation of agentic AI from experimental capability to production security infrastructure. The shift from reactive alert management to proactive, autonomous threat investigation changes fundamental SOC economics and staffing models.
The freemium approach democratizes access to enterprise-grade AI security capabilities, potentially accelerating industry-wide adoption. Organizations can now implement autonomous SOC capabilities without the traditional constraints of budget approval cycles or extensive pilot programs.
For MSSPs, the multi-tenant architecture enables new service delivery models where AI analysts can scale across multiple client environments efficiently, potentially reshaping the managed security services market structure.
Looking Forward
The enterprise security market increasingly demands autonomous capabilities as threat volumes exceed human capacity for manual analysis. AirMDR’s approach suggests the evolution toward AI-first security operations where human analysts focus on strategic threat hunting rather than routine alert triage.
The success of this freemium model could influence other enterprise AI infrastructure vendors to adopt similar low-friction adoption strategies, particularly for capabilities that require proof-of-value before large-scale deployment.
As autonomous AI agents become standard in security operations, the next development phase will likely focus on cross-platform orchestration and integration between different AI security systems—moving from isolated AI tools to comprehensive autonomous security ecosystems.
AirMDR is backed by Foundation Capital, Race Capital, and Storm Ventures. The platform builds on the company’s AI-powered Managed Detection & Response service, which already protects organizations through always-on alert triage and investigation.
Overclock provides enterprise AI agent orchestration that complements autonomous security platforms like AirMDR by enabling complex multi-agent workflows across security, development, and operations teams. Learn more at overclock.work.