SOC Platform Security Tools

Exaforce is building an AI first SOC platform that can serve as an augment to your existing SOC via agentic capabilities, a SIEM replacement or augment via its data lake, as well as offering MDR capabilities via a managed offering.

Mate provides a comprehensive AI SOC enablement platform by integrating into a company's entire data stack, building a comprehensive knowledge base, and then giving users a copilot like experience to accelerate their investigation and response capabilities

Scanner provides a simpler SIEM data architecture to provide maximum flexibility for AI. They enable rapid querying of new and historical data in S3 through inventive compression and indexing techniques. They also enable flexible compute usage via a serverless architecture, allowing you to only pay for the exact compute you use.

AI Strike is combining LLMs with traditional SIEM and CSPM to provide a holistic LLM based approach to security incident response. They're combining robust asset data with log sources to give the LLM enough context to make accurate alerting decisions.

Artemis provides numerous services under a single platform - from MDR to AI SOC to Detection Engineering. Their key differentiator is intelligently storing and searching data within their own platform or other platforms depending on the context. This enables AI incident response, detection engineering management, or SIEM replacement use cases.

Daylight offers end-to-end MDR services powered by an AI data platform, but with a commitment to the human aspects of being a service provider. Daylight’s primary differentiation goes beyond AI or data lookup capabilities to focus on the quality of the human analysts and threat hunters behind the product. Teams get the speed benefits of an AI first pass, with the confidence of human expertise backing them up.

Vega rolls up a wide scope of workflows into what they call a Security Analytics Mesh - a unified data system for humans and agents to query data wherever it lives. These capabilities enable several core outcomes for the SOC: analytics, detection engineering, autonomous triage, and threat hunting. The platform sits across existing SIEMs, data lakes, and cloud storage and can operate as either a full SIEM replacement or an augmentation layer, with the data staying in place either way.

AI-driven detection engineering platform that automates authoring, testing, deploying, and maintaining detections across your existing SIEM, EDR, and data lakes.

Query is not strictly speaking a SIEM, but an excellent way to gather all of your relevant data in a single search. They've created truly on demand, cross integration searches - a great way to save money and time for organizations deep the struggle of log management.

7AI started as an AI incident response tool but has quickly expanded to provide detection engineering, data storage, MDR services, and more. Their architecture supports advanced incident response automation especially for phishing and email security use cases, with specialized agents doing investigations within the context of your environment.

Fig provides teams visibility into their detection and log source health across their existing tools. It gives teams insights into what detections would never fire, what log enrichments can be done, and helps consolidate and manage the overall health of your program.

Streaming-first composable SIEM combining security data pipelines, tiered storage, in-stream detection, and AI-assisted SecOps workflows.

Greymatter is an AI SOC platform that's composed of agentic investigations, detection management, data pipelines, and threat hunting capabilities.

Anvillogic provides a unified detection engineering plane for writing federated searches and detections across multiple SIEMs and data stores.

Unified data and AI lakehouse that security teams use as a petabyte-scale security data lake for detection engineering, threat hunting, and SIEM cost offload.