How much does Conifers.ai cost?

No public prices, plans or trial; sold through sales to enterprise SOCs and MSSPs.

What are the best alternatives to Conifers.ai?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Conifers.ai among security and SOC agents are 7AI, Airrived, Cyware, Exaforce. Each is graded on the same public evidence, and no vendor pays for placement.

Can Conifers.ai be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. Conifers.ai publishes public evidence of self hosted or private VPC deployment, along with data residency options for controlling where agent data is processed and stored. Evidence basis: Conifers runs as SaaS on Microsoft Azure that it hosts, or directly within the customer's own Azure environment. All inference and processing stay in Azure, and models are staged and served from the customer's selected Azure region, with lo. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Conifers.ai give you tracing and observability into agent runs?

Full under the Agentic Index verification standard. Conifers.ai publishes public evidence of tracing, observability and audit logging into agent runs, so a team can see what an agent did and why. Evidence basis: Every investigative step is logged, validated and linked to the underlying evidence. Every action carries a full reasoning trace, and every finding ships with the evidence chain, every query run and every hypothesis considered. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Conifers.ai

Also known as: Conifers, CognitiveSOC

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Security / SOC agentindependentVerified 2026-09-28

Entry priceContact salesFull pricing detail

Agentic AI SOC platform (CognitiveSOC) with five named agents for threat intelligence, threat hunting, detection engineering, investigation, and response and remediation, working in one fabric that grounds each alert in the customer's institutional knowledge. Connects to 60 named security tools and runs on Microsoft Azure, hosted by Conifers or in the customer's own Azure tenant. Serves enterprise SOCs and MSSPs.

Conifers builds CognitiveSOC, an agentic AI SOC platform. Five named agents cover threat intelligence (active actors and campaigns mapped against the customer's detection coverage), threat hunting (proposing, scoring and running hypotheses), detection engineering (classifying rules as healthy, silent, noisy or broken and recommending fixes), investigation (decision-ready storyboards with verdicts), and response and remediation (plans scoped to the incident), with Ask Conifers as a natural language interface across them. The agents work inside one fabric.

Each alert is matched to its use case and grounded in the customer's institutional knowledge, the environment-specific context the fabric builds from past outcomes and analyst feedback, and the agents investigate every alert end to end. Every investigative step is logged and linked to its evidence, and each finding carries the queries run and the hypotheses considered. Customers set autonomy from human in the loop to human on the loop to fully autonomous, and remediation plans can be reviewed before they run.

The platform connects to 60 named integrations across SIEM, EDR, identity, cloud, firewall, email, NDR and threat intelligence, with onboarding stated at two to four hours. It runs on Microsoft Azure, either hosted by Conifers or deployed in the customer's own Azure tenant, with models served from the customer's selected region, and Conifers reports SOC 2 Type II and ISO/IEC 27001. There is no stated public API, SDK or customer model choice. Customers are enterprise SOCs and MSSPs or MDR providers.

Vendor details

Canonical URL

https://www.conifers.ai

Funding status

Independent company with offices in Dallas, Texas and Tel Aviv, led by Tom Findling (CEO), Alon Yotvat (CPO, Data Science) and Mark Kurman (CTO); backed by SYN Ventures, Picus Capital and Washington Harbour Partners, with amounts not stated on the About page.

Company status

independent

Use cases & customers

Primary use cases

deep contextual investigation of complex, multi-tier security incidentsinstitutional-knowledge-adapted SOC automation for enterprises and MSSPsend-to-end agentic SOC: threat intel, hunting, detection, investigation, remediationstrategic SOC analytics and KPIs beyond MTT(x)government and mission-environment SOC modernization

Target customers

enterprise SOC teams handling complex multi-tier investigationsMSSPs scaling investigation capacitygovernment agencies and mission environmentssecurity leaders measuring SOC ROI beyond operational metrics

Deployment options

SaaS on Conifers-hosted Microsoft Azuredeployment in the customer's own Azure environmentmodels served from the customer's selected Azure region (North America, Europe, Asia Pacific)

Integrations

60 named integrations across nine categories: SIEM (Splunk, Microsoft Sentinel, Google SecOps, CrowdStrike NG-SIEM, Palo Alto Cortex XSIAM, Exabeam, Rapid7, Elasticsearch, Sumo Logic, Datadog, Panther), EDR and EPP (CrowdStrike, Microsoft Defender, Cortex XDR, SentinelOne), identity (Okta, Microsoft Entra, Google Workspace), cloud (AWS, Amazon GuardDuty, Azure, Google Cloud, Wiz), firewall (Cisco, Palo Alto Networks, Zscaler, Cato Networks), email (Mimecast, Microsoft Exchange, Check Point Harmony, Proofpoint), NDR (Darktrace, Vectra), exposure (NVD, Tenable) and 20 threat intelligence sources including VirusTotal, Recorded Future, GreyNoise and Shodan. The remediation agent acts across the stack (isolate a host, disable a credential, block a hash, open a ticket). No public API, SDK or MCP server is documented.

In practice

An alert fires in Microsoft Sentinel and your analysts are buried. The investigation agent pulls evidence from your EDR, identity and cloud tools, logs every step against its evidence, and hands back a storyboard with a verdict, every query run and every hypothesis considered.

You will not let an agent isolate a host on its own. The response and remediation agent drafts a plan scoped to the incident with its full reasoning, and a person reviews it and clicks Execute plan before anything changes.

Your SOC data cannot leave your cloud. Conifers deploys in your own Azure tenant, keeps all inference in Azure and serves models from the region you choose in North America, Europe or Asia Pacific.

Sources & related URLs

Research sources

https://www.conifers.ai/news/conifers-ai-raises-25-million-in-funding-from-syn-ventures/ https://www.securityweek.com/conifers-ai-scores-25m-investment-for-agentic-ai-soc-technology/ https://dallasinnovates.com/with-u-s-hq-in-dallas-tel-aviv-cybersecurity-platform-conifers-ai-gets-investment-from-washington-harbour-partners/ https://www.synventures.com/portfolio/conifers/

Agentic Index coverage score

9.5 / 14 capabilities · 68%

Integrations & Tool Calling	Full
There are 60 named integrations across nine categories, among them SIEM (Splunk, Microsoft Sentinel, Google SecOps, CrowdStrike NG-SIEM, Cortex XSIAM and others), EDR (CrowdStrike, Microsoft Defender, Cortex XDR, SentinelOne), identity (Okta, Microsoft Entra, Google Workspace), cloud (AWS, Azure, Google Cloud, Wiz), firewall, email, NDR and 20 threat intelligence sources. The agents pull evidence from these systems, and the remediation agent executes plans across the stack (isolate a host, disable a credential, block a hash, open a ticket). Sourceconifers.ai/integrationsread 2026-09-28
Workflow Orchestration	Full
Five named agents (threat intelligence, threat hunting, detection engineering, investigation, and response and remediation) run inside one agentic fabric. Each alert is matched to its use case, and the investigation verdict feeds a generated remediation plan. Sourceconifers.ai/ai-soc-agentsread 2026-09-28
Knowledge Grounding & RAG	Full
Each alert is matched to its use case and grounded in the customer's institutional knowledge, the environment-specific context the fabric builds and reuses, and every outcome and every piece of analyst feedback writes back into the fabric. Conifers gives no technical detail on the retrieval mechanism. Sourceconifers.ai/enterpriseread 2026-09-28
Human Oversight & Guardrails	Full
The response and remediation agent generates a plan scoped to the incident, with its full reasoning, and Execute plan and Review reasoning controls let a person review it and confirm before the action commits. The customer sets autonomy to human in the loop, human on the loop or fully autonomous, within guardrails the team sets. Sourceconifers.ai/ai-soc-agentsread 2026-09-28
Security, Identity & Governance	Partial
Conifers reports SOC 2 Type II and ISO/IEC 27001, along with tenant isolation, encryption and Azure-native access controls, 24 month default retention, full deletion within two weeks of a written request, and no use of one customer's data to train models for others. There is no named customer access surface such as single sign on, roles or RBAC. Sourceconifers.ai/security-trust-centerread 2026-09-28
Observability & Auditability	Full
Every investigative step is logged, validated and linked to the underlying evidence. Every action carries a full reasoning trace, and every finding ships with the evidence chain, every query run and every hypothesis considered. Sourceconifers.ai/security-trust-centerread 2026-09-28
Memory & State Persistence	Partial
Agents hold no state between executions, and all memory and configuration are managed by the platform. That memory has no stated scope or lifetime, and the 24 month default retention covers operational data, not agent memory. The fabric write-back belongs to the knowledge layer. Sourceconifers.ai/ai-soc-agentsread 2026-09-28
Deployment & Data Residency	Full
Conifers runs as SaaS on Microsoft Azure that it hosts, or directly within the customer's own Azure environment. All inference and processing stay in Azure, and models are staged and served from the customer's selected Azure region, with locations across North America, Europe and Asia Pacific. Sourceconifers.ai/security-trust-centerread 2026-09-28
Prebuilt Agents, Templates & Packs	Full
Five named prebuilt agents each handle a distinct SOC function. They are Threat Intelligence (actors and campaigns mapped against detection coverage), Threat Hunting (proposes, scores and runs hypotheses), Detection Engineering (classifies rules as healthy, silent, noisy or broken and recommends fixes), Investigation (storyboards with verdicts) and Response and Remediation (scoped plans), with Ask Conifers across them. Each works on its own, apart from the others, and there is no stated template library. Sourceconifers.ai/ai-soc-agentsread 2026-09-28
Triggers & Channel Coverage	Full
Autonomous agents investigate every alert end to end, and each alert is matched to its use case when it arrives, so the alert itself starts the work. Sourceconifers.ai/ai-informationread 2026-09-28
Model Flexibility & Routing	Not documented
All AI inference runs within Microsoft Azure, and models are staged and served from the customer's selected Azure region. No model provider is named, and there is no stated customer model choice or routing. Sourceconifers.ai/security-trust-centerread 2026-09-28
APIs, SDKs & MCP Extensibility	Not documented
Conifers publishes no API, SDK or MCP surface, and its site has no developer or documentation link in the navigation. Integrations connect to existing tools with no migration or data movement. Sourceconifers.ai/integrationsread 2026-09-28
Testing, Debugging & Optimization	Partial
A dedicated quality agent reviews every investigation in production. Conifers runs ongoing validation against an absolute-truth dataset as its own internal practice, and customers have no stated test, replay or dry-run surface. Sourceconifers.ai/ai-soc-agentsread 2026-09-28
Browser & Computer Use	Not documented
There is no stated browser or computer use. The agents act through the named integrations, and that tool execution is not computer use. Sourceconifers.ai/integrationsread 2026-09-28

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Contact sales

No billing unit is published.

What is public

Conifers publishes five named agents, 60 named integrations, deployment on Conifers hosted Azure or in the customer's Azure tenant, and SOC 2 Type II and ISO/IEC 27001. No plans, tiers, prices or trial are published.

Variable cost rationale

Conifers publishes no billing unit, so nothing public says what is metered. The agents investigate every alert end to end, but whether alert or investigation volume drives the price is not published. No rate, cap, minimum or plan is published, so nothing public limits the bill.

Sales call required

Yes, required for paid access

Free / trial

None published

Lowest paid plan

Not published

Missing data

Plan structure, billing unit and any MSSP pricing are not published.

Agentic Index verified 2026-09-28

Related vendors

Alternatives to Conifers.ai

The closest documented capability profiles to Conifers.ai among security and SOC agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

7AI8.5 / 14A lighter documented profile than Conifers.ai
Airrived10.0 / 14Adds documented Model Flexibility & Routing and APIs, SDKs & MCP Extensibility
Cyware10.0 / 14Adds documented APIs, SDKs & MCP Extensibility
Exaforce9.0 / 14Adds documented APIs, SDKs & MCP Extensibility
Simbian9.0 / 14Fuller documented coverage on Testing, Debugging & Optimization
BlinkOps10.5 / 14Adds documented APIs, SDKs & MCP Extensibility

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Conifers.ai with other vendors →Compare all security and SOC agents →See where Conifers.ai ranks →

Data confidence: high

Head to head

Conifers.ai vs Prophet Security