Agentic Index
Conifers.ai vs Prophet Security (2026)
Conifers.ai last verified ·Prophet Security last verified
Conifers.ai and Prophet Security both field a set of named SOC agents and neither publishes a price. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Conifers' CognitiveSOC runs five agents, for threat intelligence, hunting, detection engineering, investigation, and response and remediation, in one fabric that grounds each alert in the customer's institutional knowledge, and it connects to 60 named tools and runs on Azure, hosted by Conifers or in the customer's own tenant. Prophet runs an analyst, a threat hunter and a detection engineer that backtests detections, and sells a human review service beside the software. Choose Conifers for grounded agents in your own Azure tenant, and Prophet for tested guidance and a vendor review service.
On the Agentic Index AI SOC ranking, Conifers.ai clears the bar and Prophet Security does not. Conifers.ai documents all five investigation loop capabilities in full; Prophet Security does not document workflow orchestration in full. 25 of the 86 vendors in the lane clear it. See the AI SOC ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Conifers.ai and Prophet Security are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Conifers.ai if
- Agents should reason from your own institutional knowledge.
- The platform should run in your own Azure tenant.
- Threat intelligence and remediation planning belong with investigation.
Choose Prophet Security if
- Guidance changes should be tested against past alerts.
- A human review service from the vendor should sit beside the software.
- A dedicated single tenant with your own key fits your requirements.
| Feature | C Conifers.ai |
P Prophet Security |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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Conifers.aiIntegrations & Tool Calling 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 |
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Prophet SecurityIntegrations & Tool Calling More than 200 integrations come out of the box, and the AI SOC Analyst responds through scoped, permissioned Agent Actions in the customer's systems, from notifications to quarantining a machine. Results are delivered to Slack, Teams or the customer's own webhook. Investigations query SIEM, EDR, identity, cloud and email tools, and delivery can be set separately for each channel. SourceProphet Security, prophetsecurity.ai/ai-soc-analystread 2026-10-05 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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Conifers.aiWorkflow Orchestration 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 |
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Prophet SecurityWorkflow Orchestration Each alert runs through a fixed investigation, determination and response sequence, and customers can add guidance to a single step. There is no branching, conditions, handoff between agents or workflow that customers build. Related investigations are grouped into incidents automatically. SourceProphet Security, prophetsecurity.ai/ai-soc-analystread 2026-10-05 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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Conifers.aiTriggers & Channel Coverage 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 |
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Prophet SecurityTriggers & Channel Coverage Alerts are investigated the moment they arrive, 100 percent of them at every severity, with no analyst starting the work. Each investigation begins by summarizing the alert, pulling out its artifacts and planning the questions an expert analyst would ask. SourceProphet Security, prophetsecurity.ai/ai-soc-analystread 2026-10-05 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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Conifers.aiKnowledge Grounding & RAG 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 |
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Prophet SecurityKnowledge Grounding & RAG Investigations gather evidence live across the customer's connected tools and apply the guidance the customer writes. There is no index, graph or embeddings layer over the customer's own knowledge. The AI Detection Engineer maps the customer's MITRE ATT&CK coverage from its own investigations. SourceProphet Security, prophetsecurity.ai/ai-soc-analyst and prophetsecurity.airead 2026-10-05 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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Conifers.aiMemory & State Persistence 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 |
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Prophet SecurityMemory & State Persistence Customers teach the agent playbooks, policies and preferences in plain language, organization wide, per investigation or per step. Nothing is learned silently, and every entry's source is visible and correctable. What the agent learns carries into every later investigation and stays when an analyst leaves. Most entries are guidance the product applies, and Prophet does not say how long they are kept. SourceProphet Security, prophetsecurity.ai/ai-soc-analystread 2026-10-05 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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Conifers.aiHuman Oversight & Guardrails 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 |
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Prophet SecurityHuman Oversight & Guardrails Agent Actions run autonomously or only with the customer's sign-off, each remediation is previewed before it runs, and actions are scoped and permissioned. Autonomy covers only the actions a customer has approved, and the customer widens that scope when the agent's track record justifies it. With the optional Watchtower service, an expert engages within 30 minutes on every malicious or inconclusive determination, around the clock, guiding the response by default and running containment, with a rollback plan, only when the customer asks. SourceProphet Security, prophetsecurity.ai/ai-soc-analyst and prophetsecurity.ai/watchtowerread 2026-10-22 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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Conifers.aiSecurity, Identity & Governance 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 |
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Prophet SecuritySecurity, Identity & Governance Prophet states SOC 2 Type II, ISO/IEC 27001:2022 and ISO/IEC 42001:2023, and the homepage carries a SOC 2 Type 2 badge. There is no SSO, SCIM or user role model, and scoped Agent Actions limit what the agent can do, not what users can reach. The trust center sits at trust.prophetsecurity.ai, and Prophet does not train AI models on personal data. SourceProphet Security, trust.prophetsecurity.ai and prophetsecurity.airead 2026-10-05 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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Conifers.aiObservability & Auditability 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 |
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Prophet SecurityObservability & Auditability Every question asked, every query run and every reasoning step in an investigation is documented, so the team can verify exactly how a determination was reached. Watchtower sends validated escalations in under 30 minutes, and results can go to Slack, Teams or a webhook for each channel. SourceProphet Security, prophetsecurity.ai/ai-soc-analyst and prophetsecurity.airead 2026-10-05 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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Conifers.aiDeployment & Data Residency 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 |
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Prophet SecurityDeployment & Data Residency Each customer gets a dedicated single tenant with a bring your own key option. Prophet does not say where that tenant is hosted, and offers no region choice or customer environment option such as VPC or on premises. Sourceprophetsecurity.airead 2026-10-22 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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Conifers.aiPrebuilt Agents, Templates & Packs 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 |
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Prophet SecurityPrebuilt Agents, Templates & Packs Prophet ships three agents that each do their own job. The AI SOC Analyst investigates alerts, the AI Threat Hunter runs natural language and ready to run hunts, and the AI Detection Engineer maps ATT&CK coverage and ships backtested detections. Watchtower is a human review service, not an agent. Use cases span endpoint, email, identity, cloud, DLP and network alerts, and named customers include Redis, Udemy, Instacart, Penske and Moveworks. SourceProphet Security, prophetsecurity.airead 2026-10-05 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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Conifers.aiModel Flexibility & Routing 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 |
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Prophet SecurityModel Flexibility & Routing Prophet names no models or providers behind Prophet AI and offers no model choice. Sourceprophetsecurity.airead 2026-09-28 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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Conifers.aiAPIs, SDKs & MCP Extensibility 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 |
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Prophet SecurityAPIs, SDKs & MCP Extensibility Developers have no way in. There is no API, SDK or MCP server for the Prophet platform, and there are no developer or docs pages. Outbound delivery to the customer's own webhook is the platform calling out, not an interface for calling it. Sourceprophetsecurity.ai/sitemap.xmlread 2026-10-22 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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Conifers.aiTesting, Debugging & Optimization 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 |
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Prophet SecurityTesting, Debugging & Optimization Changes to the agent's guidance are previewed and backtested against the customer's own alert history before they apply, so a change has to hold up on past alerts first. Remediations and new detections are backtested the same way. One customer reports 95% less manual review, and Prophet cites a 10 times faster MTTR. SourceProphet Security, prophetsecurity.ai/ai-soc-analystread 2026-10-05 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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Conifers.aiBrowser & Computer Use 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 |
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Prophet SecurityBrowser & Computer Use The agents do not drive a browser, desktop or remote computer. They act through integrations. Sourceprophetsecurity.airead 2026-09-28 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | C Conifers.ai |
P Prophet Security |
|---|---|---|
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Entry price Lowest public entry point |
Contact sales | Contact sales. Priced per investigation, with no data ingest fees, and no public rates. |
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Pricing confidence How public the numbers are |
Contact only | Contact only |
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Billing Primary billing axis |
No billing unit is published. | Per investigation, with no data ingest fees, on an enterprise contract. |
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Variable cost Workload / overage exposure |
Medium variable cost | Low variable cost |
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Free tier / trial Try before you buy |
No free tier
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No free tierTrial
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Buying motion Self-serve vs sales call |
Sales call | Sales call |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
Prophet Security
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· Agent capability
Prophet Security announced the general availability of Prophet AI Threat Researcher and Emerging Threats within the Prophet AI Threat Hunter.
Source
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