CISO Tribune

Vendor comparison · 2 companies

Conifers vs Mave

Conifers is a cybersecurity company that builds CognitiveSOC, the agentic AI SOC platform powering Resilient Cyber Defense. Mave runs investigations, searches, threat hunts, detection hardening, and governed responses across a customer's existing stack. CISO Tribune files both under AI SOC analysts. This page sets the two records side by side: what each sells, where it is based, who owns and funds it, the customers it names and its recent news, each fact numbered to its source.

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  • Conifers
  • Mave
Conifers vs Mave: Products, Customers and Funding Compared
ConifersConifers is a cybersecurity company that builds CognitiveSOC, the agentic AI SOC platform powering Resilient Cyber Defense.conifers.aiMaveMave runs investigations, searches, threat hunts, detection hardening, and governed responses across a customer's existing stack.mave.com
What it sells
  • CognitiveSOC[1][3][5][6][7]An agentic AI SOC platform that investigates and acts on threats using the security tools an organization already owns.
  • AI SOC[1][14]Governed AI agents that investigate alerts, apply threat intelligence, hunt across tools, improve detections, and execute authorized response actions.
  • Threat Hunting[1][13]Runs continuous, cross-tool threat hunts for threats that never triggered an alert.
  • Detection Engineering[1][13]Finds coverage gaps, tunes noisy detection rules, and creates new detections.
  • Threat Intelligence[1][9][10][14]Converts relevant threat intelligence into investigations, threat hunts, detections, and authorized responses.
Categories
Headquarters
Not stated on its pagesNot stated on its pages
Founded
Not stated on its pagesNot stated on its pages
Ownership and funding
Privately heldNot stated on its pages
Named customers
Not stated on its pagesNot stated on its pages
Recent news
Not stated on its pagesNot stated on its pages
G2 and Gartner Peer Insights
  • G2: Not stated on its pages
  • Gartner Peer Insights: Not stated on its pages
  • G2: Not stated on its pages
  • Gartner Peer Insights: Not stated on its pages
Who it fits
Not written yetFrom its own pages, Mave sells mainly to security operations teams that run many tools and want investigation, hunting, detection work, and response across the stack they already have. Mave addresses managed security service providers that want to scale without adding analysts at the same rate as customers. Mave addresses organizations with multiple SIEMs, tenants, and subsidiaries. Mave addresses organizations that want to reduce SIEM ingestion and retention costs. Mave addresses organizations that want alert triage, investigation, and response in-house, and organizations with on-premises workloads alongside cloud and SaaS. Mave also describes an alternative package for smaller teams.
Last verified
November 10, 2026October 23, 2026

Where they overlap

  • AI SOC analysts is the primary category of both Conifers and Mave.

Where they differ, field by field

  • Mave is also filed under SIEM and Threat intelligence.
  • Conifers lists CognitiveSOC. Mave lists AI SOC, Threat Hunting, Detection Engineering and Threat Intelligence.
  • Conifers is privately held.

How they differ

Conifers sells CognitiveSOC, an agentic AI SOC platform that connects through a semantic layer and covers threat intelligence, hunting, detection, investigation, and remediation. Mave sells an AI SOC of governed AI agents, plus separate offerings for Threat Hunting, Detection Engineering, and Threat Intelligence. CISO Tribune also files Mave under SIEM and Threat intelligence. Mave states that its integrations start read-only, and it offers managed searchable retention for security data.

On deployment, Conifers says all AI inference and data processing for CognitiveSOC occur within Microsoft Azure, in the region the customer selects. Mave says it queries live data in the systems that already hold it, with no telemetry migration or duplicate data lake. Mave is priced by endpoints protected and team size, and it offers a fixed-price package for smaller teams.

Conifers operates from Dallas, Texas and Tel Aviv, Israel, is privately held, and lists SYN Ventures, PICUS Capital, and Washington Harbour Partners as investors. Conifers counts security teams at Fortune 500 companies, universities, and financial institutions among its customers, and it serves enterprise SOCs as well as MSSPs and MDRs. Mave addresses security operations teams running many tools, managed security service providers, and organizations with multiple SIEMs, tenants, and subsidiaries.

What it sells: Conifers

What CognitiveSOC does[1][3][5][6][7]
CognitiveSOC connects to existing security tools through a semantic layer, requiring no migration, no data movement, and no rip-and-replace. CognitiveSOC reads from and writes back to the tools a customer already runs, across detection, identity, cloud, network, and intelligence. CognitiveSOC covers threat intelligence, hunting, detection, investigation, and remediation. All AI inference and data processing occur within Microsoft Azure, with models served from the customer's selected Azure region.

What it sells: Mave

What AI SOC does[1][14]
Mave runs an AI SOC across the security stack a customer already uses. Mave queries live data in the systems that already hold it, reasons across the evidence, and takes the next authorized action. No telemetry migration, duplicate data lake, central index, or fixed SOAR playbook is required.
What Threat Hunting does[1][13]
Mave applies threat intelligence to the customer's environment and runs continuous, cross-tool threat hunts across the SIEM, EDR, cloud, identity, and other security tools. Each finding becomes a complete investigation, a new or tuned detection, or an authorized response action. Source telemetry stays in place, with no new data lake, central index, or prebuilt correlation pipeline.
What Detection Engineering does[1][13]
Mave works across detection languages and formats, including SPL, KQL, YARA-L, Sigma, EQL, Lucene, and SQL-based rules. Agents review, create, translate, test, and tune detection content in the existing workflow, validate it against historical data where it already lives, and commit or deploy approved changes.
What Threat Intelligence does[1][9][10][14]
Mave determines which campaigns, actors, vulnerabilities, indicators, and techniques are relevant to the customer's environment. Mave evaluates each threat against assets, identities, technologies, vulnerabilities, detections, and live activity.

Questions about Conifers and Mave

What do Conifers and Mave sell?
Conifers sells CognitiveSOC. Mave sells AI SOC, Threat Hunting, Detection Engineering and Threat Intelligence.
Are Conifers and Mave in the same category?
Yes. AI SOC analysts is the primary category of both on CISO Tribune.
Who owns Conifers and Mave?
Conifers is privately held.
Who are Conifers and Mave sold to?
From its own pages, Mave sells mainly to security operations teams that run many tools and want investigation, hunting, detection work, and response across the stack they already have.

About Conifers

Conifers is a cybersecurity company that builds CognitiveSOC, the agentic AI SOC platform powering Resilient Cyber Defense. CognitiveSOC investigates and acts on threats on the security tools an organization already owns, for enterprise SOCs and for the MSSPs and MDRs who protect them. Conifers.ai is a cybersecurity company focused on security operations through AI.[1][3][4]

Conifers states that the risk model has changed and that autonomous agents and broadly available frontier-model capabilities can now outpace traditional defenses. Conifers describes a SOC with five critical functions, no connection between them, all running at human speed while adversaries run at machine speed. In the Conifers account, threat hunting hinges on one or two analysts, maybe once a quarter. Conifers says detection rules land months late and are tuned by hand and rarely. Conifers describes analysts spending hours pivoting across 10+ tools while backlogs grow. Conifers describes response as stale playbooks, run by hand, with no write-back.[5]

CognitiveSOC covers threat intelligence, hunting, detection, investigation, and remediation. CognitiveSOC connects to existing security tools through a semantic layer, requiring no migration, no data movement, and no rip-and-replace. CognitiveSOC connects across the security stack, from SIEM to endpoint, identity to cloud, and threat intelligence to vulnerability management, and brings every source into a single operating fabric. CognitiveSOC reads from and writes back to the tools a customer already runs, across detection, identity, cloud, network, and intelligence. Conifers gives the CognitiveSOC integration count as 180+ security and IT tools, with no rip and replace.[3][5][6][11]

All AI inference and data processing for CognitiveSOC occur entirely within Microsoft Azure. CognitiveSOC models are staged and served from the customer's selected Azure region. CognitiveSOC inference and processing happen inside Microsoft Azure, in the region the customer chooses. An independent audit confirms the Conifers controls for security, availability, confidentiality, and privacy. Conifers states that its security governance frameworks operate continuously, not at a point in time.[8]

Conifers addresses the role of the CISO, saying the mission of understanding, communicating and managing risk has not changed while the operating environment has. Conifers calls the cybersecurity adaptation gap the fact that existing management systems track risks, controls, projects, findings, incidents and programs but rarely manage whether the decisions behind them remain valid. Conifers uses decision latency as the central measure, defined as the elapsed time between reliable evidence of a consequential change reaching the organization and the organization identifying, revising or reaffirming the affected decisions. In the Conifers model, a premise is a condition that had to be true for a decision to be reasonable, and a trigger is an observable event indicating that a premise may no longer hold. Conifers names six stages where delay accumulates: recognize, identify, reconsider, propagate, execute, and validate.[9]

Conifers counts security teams at Fortune 500 companies, universities, and financial institutions among its customers, which use the platform to investigate security alerts, hunt for threats and identify gaps in detection coverage. DTX is an MSSP that offers a managed detection and response service. Dutch Technology eXperts is a team of security professionals. AMSYS Innovation Solutions is an MSSP that runs a managed SOC business.[7][10][12]

Conifers operates from Dallas, Texas and Tel Aviv, Israel. The investors in Conifers are SYN Ventures, PICUS Capital, and Washington Harbour Partners.[1][2][3][7][8][9]

Conifers on the record

Sources

Conifers full record

  1. [1]AboutConifers · conifers.ai · undated page, accessed November 10, 2026 · Tier A
  2. [2]Conifersai raises 25 million in funding from syn ventures to transform security operations and achieve soc excellence using agentic ai 302362491PR Newswire · prnewswire.com · undated page, accessed November 10, 2026 · Tier A
  3. [3]About Conifers | The Agentic AI SOC CompanyConifers · undated page, accessed November 11, 2026 · Tier A
  4. [4]AI and Cybersecurity: The Arms Race - Tom Findling, CEO of Conifers.aiConifers · undated page, accessed November 11, 2026 · Tier A
  5. [5]AI SOC Platform | Agentic CognitiveSOC | Conifers AI®Conifers · undated page, accessed November 11, 2026 · Tier A
  6. [6]Integrations: SIEM, EDR, Cloud and 180+ Tools | Conifers AIConifers · undated page, accessed November 11, 2026 · Tier A
  7. [7]Scale Smarter: Show ROI and Grow Services with an AI SOC | webcast | MSSP AlertMSSP Alert · undated page, accessed November 11, 2026 · Tier A
  8. [8]Security & Trust CenterConifers · undated page, accessed November 11, 2026 · Tier A
  9. [9]The Cybersecurity Adaptation Gap - Conifers AIConifers · undated page, accessed November 11, 2026 · Tier A
  10. [10]Customers - Conifers AIConifers · undated page, accessed November 11, 2026 · Tier A
  11. [11]Conifers Interview with Customer DTXConifers · undated page, accessed November 11, 2026 · Tier A
  12. [12]MSSP Case Study | DTX Achieves 80% Efficiency Gains | Conifers AI®Conifers · undated page, accessed November 11, 2026 · Tier A

Mave full record

  1. [1]mave.comMave · mave.com · undated page, accessed October 23, 2026 · Tier A
  2. [2]Terms and conditionsMave · mave.com · published February 15, 2026 · Tier A
  3. [3]AI Security Operations Platform | MaveMave · undated page, accessed November 10, 2026 · Tier A
  4. [4]Mave Platform | The SecOps Operating SystemMave · undated page, accessed November 10, 2026 · Tier A
  5. [5]Reduce MDR Reliance | MaveMave · undated page, accessed November 10, 2026 · Tier A
  6. [6]SIEM Cost Reduction & Replacement | MaveMave · undated page, accessed November 10, 2026 · Tier A
  7. [7]On-Prem SecOps Deployment | MaveMave · undated page, accessed November 10, 2026 · Tier A
  8. [8]Multi-SIEM & Post-M&A SecOps | MaveMave · undated page, accessed November 10, 2026 · Tier A
  9. [9]Multi-Tenant SecOps For MSSPs | MaveMave · undated page, accessed November 10, 2026 · Tier A
  10. [10]Threat Hunting | MaveMave · undated page, accessed November 10, 2026 · Tier A
  11. [11]Detection Engineering with MITRE ATT&CK | MaveMave · undated page, accessed November 10, 2026 · Tier A
  12. [12]Threat Intelligence | MaveMave · undated page, accessed November 10, 2026 · Tier A
  13. [13]Pricing | MaveMave · undated page, accessed November 10, 2026 · Tier A
  14. [14]AI SOC Agents for Full-Loop SecOps | MaveMave · undated page, accessed November 10, 2026 · Tier A

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