AI SOC Companies: Who's Building the Future of Security Operations

AI SOC companies develop platforms that use artificial intelligence to automate security operations—from alert triage and investigation to threat containment and response. The market includes established security operations vendors, well-funded AI startups, and automation-first companies expanding into AI. A company's heritage, maturity, and customer track record directly impact whether its platform can deliver on its promises at scale.

This guide profiles the leading AI SOC companies, compares them on vendor credibility signals, and outlines what to look for when choosing a security operations partner.

Key Takeaways

The AI SOC market includes 100+ vendors. Company heritage—security operations, automation, or AI startup— shapes what each platform does well and where it falls short.

Vendor maturity matters. Startups may innovate faster, but established AI security vendors bring proven enterprise deployments, deeper integrations, and operational data that newer companies can't replicate.

ReliaQuest has decades of security operations experience powering GreyMatter's agentic AI— resulting in MTTC of 5 minutes or less for customers and 250+ bi-directional tool integrations.

Ask any AI SOC company: How was your AI trained? On generic data or real-world SOC telemetry? The answer separates vendors that understand security operations from those applying general-purpose AI to a domain they don't deeply know.

AI SOC Company Profiles

ReliaQuest

Heritage: Agentic AI security operations platform

ReliaQuest is an established security operations company with decades of experience running and optimizing enterprise SOCs. That operational heritage is the foundation of its GreyMatter platform— an agentic AI security operations platform trained on real-world SOC data, not generic models or synthetic datasets.

GreyMatter's multi-agent AI system coordinates specialized agents across the full TDIR lifecycle— detection, investigation, containment, and response—under a central orchestrator. The platform integrates with 250+ security tools bi-directionally and delivers mean times to contain of 5 minutes or less. Customer proof points include Lowe's accelerating threat detection and response by 70% and Southwest Airlines improving resolution speed by 50%.

ReliaQuest's Agentic Teammates extend AI into threat hunting, detection engineering, and IT health — capabilities that go beyond what triage-focused or automation-only companies offer.

Dropzone AI

Heritage: AI startup

Dropzone AI is a venture-backed startup focused on autonomous alert triage. The company positions its product as an AI SOC analyst that replicates elite analyst investigation techniques. With over 100 enterprise customers and 85+ integrations, Dropzone has gained traction in the triage automation space. However, the company's scope remains narrow, focused on Tier 1 investigation rather than full TDIR lifecycle coverage or response orchestration.

7AI

Heritage: AI startup (founded by former Cybereason leadership)

7AI was founded by former Cybereason executives, bringing experience in endpoint detection and response to the AI SOC space. The company uses "swarming" AI agents to handle security operations across multiple steps. 7AI has secured partnerships with managed security providers like DXC Technology. As a newer entrant, the company's enterprise track record is still developing. [ED1]

Prophet Security

Heritage: AI startup

Prophet Security is a venture-backed startup that builds an AI SOC analyst focused on investigation. The platform learns from analyst feedback over time, adapting its investigation techniques to each customer's environment. Prophet has disclosed customers including Docker. The company's focus on investigation is a strength for teams that need AI-augmented analysis, though it lacks the broad containment, response orchestration, and detection capabilities of full-platform vendors.

Torq

Heritage: Automation/SOAR

Torq is a security hyperautomation company that evolved from the SOAR category. The platform offers a no/low-code workflow builder and an AI tier-1 agent called Socrates. Torq is a feature-rich platform and has built a broad ecosystem of tool integrations. With the company's roots in automation, it offers strong orchestration capabilities. However, the platform is automation-first, with AI layered on, requiring significant workflow design and tuning to deliver value.

Anvilogic

Heritage: Detection engineering /SIEM alternative

Anvilogic is a detection engineering company backed by Snowflake Ventures. The platform runs AI-assisted detections across multiple data platforms like Snowflake, Databricks, and Splunk without requiring data migration. Anvilogic's value is strongest for organizations managing fragmented SIEM and data lake environments. The company operates primarily as a detection and hunting layer, not a full SOC automation or AI-driven response platform. It is focused on SIEM replacement with limited triage response.

Swimlane

Heritage: SOAR

Swimlane is an established SOAR company that has evolved its Turbine platform to include AI-driven automation capabilities. The company is recognized as a leader in the QKS Group SPARK Matrix for SOAR and has built a strong customer base around case management and complex data curation workflows. Swimlane's SOAR foundation gives it deep workflow orchestration capabilities, though the platform's AI is added incrementally and lower than AI-native vendors—still relies heavily on predefined playbook logic and manual workflow design.

Tines

Heritage: Workflow automation

Tines is a no-code workflow automation company popular with security and IT operations teams. The platform emphasizes flexibility and accessibility, with a free Community Edition and a large library of pre-built workflow templates. Tines has a strong community following and high user satisfaction ratings. The company provides general-purpose automation—it does not offer native AI investigation, alert triage, or threat detection capabilities. It cannot reason about threats independently.

AI SOC Company Comparison

What to Look for in an AI SOC Company

Choosing an AI SOC vendor is a company-level decision, not just a product evaluation. The company behind the platform determines whether it can deliver on promises, scale with your needs, and remain a viable long-term partner. Here's what to evaluate.

Security Operations Heritage

A company's background shapes its platform's DNA. Vendors with deep security operations experience — years of running enterprise SOCs, analyzing real threat data, training AI on actual analyst workflows — build platforms grounded in operational reality. Companies entering from adjacent markets (general automation, data engineering, pure AI) may build impressive technology without the domain depth to handle the complexity of real-world security operations at scale.

Proven Enterprise Outcomes

Claims are cheap. Ask for verified customer outcomes: measurable MTTC, MTTD, alert volume reduction, Tier 1/2 elimination rates. Companies that can point to named enterprise customers with quantified results have a fundamentally different credibility level than those offering demos and projections.

AI Training Data and Approach

How was the AI trained? Platforms built on real-world SOC telemetry and historical analyst decisions produce more accurate, context-aware outcomes than those trained on generic or synthetic data. This question alone separates vendors that understand security operations from those applying general-purpose AI to the domain.

Integration Depth and Flexibility

Enterprise SOCs run complex, heterogeneous toolsets. The vendor needs to integrate bi-directionally with your SIEM, EDR, identity, cloud, and ticketing tools—not require you to replace them. Depth of integration (not just count) determines whether the platform can act across your environment or just observe it.

Transparency and Explainability

Does the company build transparent AI that shows analysts why decisions were made? Auditable decision trails are essential for trust, compliance, and continuous improvement. Vendors that treat their AI as a black box create risk for your organization.

Company Stability and Long-Term Viability

The AI SOC market is early-stage. Many vendors are venture-backed startups that may pivot, get acquired, or fail to scale. Evaluate the company's financial position, customer retention, and roadmap maturity—especially if you're making a multi-year commitment.

For a detailed evaluation framework, see the right questions to ask when evaluating AI SOC vendors and 6 entry points for bringing AI into your SOC.

FAQ

What are AI SOC companies? AI SOC companies develop platforms that apply artificial intelligence to security operations — automating alert triage, investigation, threat detection, and incident response. The category includes established security operations vendors, SOAR companies, detection engineering firms, and AI-native startups.

Why does a company's heritage matter when choosing an AI SOC vendor? Heritage determines what the platform does well. Companies with deep security operations experience build platforms trained on real SOC data and grounded in operational reality. Vendors from automation or general AI backgrounds may offer strong technology without the domain depth to handle complex enterprise security at scale.

How do I evaluate the credibility of an AI SOC company? Look for verified customer outcomes (quantified MTTC, alert reduction, Tier 1/2 elimination), named enterprise references, integration depth with enterprise security stacks, and transparent AI decision trails. Startups should demonstrate financial stability and customer retention alongside product capability.

Are AI SOC startups ready for enterprise deployment? Some are, most aren't. Established vendors with proven enterprise deployments carry lower risk. Startups may innovate faster but require more thorough due diligence on scalability, support, and long-term viability.

What makes ReliaQuest different from other AI SOC companies? ReliaQuest combines decades of security operations experience with a multi-agent agentic AI platform that covers the full TDIR lifecycle. GreyMatter is trained on real-world SOC data, integrates with 250+ tools bi-directionally, and delivers verified MTTC of 5 minutes or less—backed by named enterprise customer outcomes.

Next Steps

The AI SOC company you choose is as important as the platform they sell. Heritage, proven outcomes, AI training approach, and long-term viability separate vendors that can deliver at enterprise scale from those still proving their models. In a market where most vendors are early-stage and claims outpace evidence, prioritize companies with deep security operations experience, verified customer results, and transparent AI.

Start here:

• Explore GreyMatter's agentic AI platform

• Learn how AI agents work in the SOC

• Get the framework for evaluating AI SOC vendors