Agentic Index
Dropzone AI vs Simbian (2026)
Dropzone AI and Simbian both investigate every alert to a verdict and both sell through sales. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Dropzone documents more of the grid, 11 of 14 against 9, and the two are built differently. Dropzone is an overlay: an AI analyst and a threat hunter reading more than 90 existing tools, read only by default, priced by investigation volume. Simbian is a family of agents for the SOC, pentesting, threat hunting and network operations, sharing one Context Lake, a persistent map of assets, identities and past verdicts built from more than 100 sources. On the grid Dropzone is Full on its API, observability and security where Simbian is Partial or None; Simbian is Full on knowledge grounding and testing, where it scores itself against the customer's objectives, and Dropzone is Partial. Choose Dropzone for a documented overlay on your stack; choose Simbian when offensive testing should feed defensive work.
On the Agentic Index AI SOC ranking, Dropzone AI clears the bar and Simbian does not. Dropzone AI documents all five investigation loop capabilities in full; Simbian does not document observability and auditability in full. 23 of the 85 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. Dropzone AI and Simbian 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 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Dropzone AI if
- Security and identity controls must be documented in full; Dropzone is Full and Simbian None.
- You want an API into the analyst for your own tooling.
- Read only access by default suits how you onboard new tools.
Choose Simbian if
- Pentest findings and past verdicts should sit in the same memory the SOC agent reasons over.
- Grounding in your asset and identity map matters; Simbian is Full on knowledge and Dropzone Partial.
- Network and firewall operations belong in the same program.
| Feature | D Dropzone AI |
S Simbian |
|---|---|---|
| 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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Dropzone AIIntegrations & Tool Calling Dropzone has more than 90 integrations across SIEM, EDR, cloud, identity and email, read only by default. Response Actions run Python that the customer writes in an isolated container with stored secrets injected, to notify external systems, trigger remediation and apply policy actions. Sourcedocs.dropzone.ai/platform/settings/response-actionsread 2026-09-28 |
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SimbianIntegrations & Tool Calling Simbian reads more than 100 integrated sources (SIEM, EDR, XDR, identity, CVE feeds, firewall rules, ITSM) and writes back into the customer's tools, with response actions in EDR, cloud and Active Directory, detection rules in the SIEM's own query language, WAF and firewall rules, and ITSM tickets. Sources also include CDR tools, bug databases, threat hunts and pentest reports. SourceSimbian, simbian.ai and /self-improving-defenseread 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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Dropzone AIWorkflow Orchestration Beyond the agent's own multi step investigation, customers configure what follows it. Response Automations fire on more than 50 triggers, among them an investigation completing with a given status, and run the customer's own code, and versioned custom strategies set priority rules and investigation questions. Sourcedocs.dropzone.ai/platform/settings/response-actionsread 2026-09-28 |
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SimbianWorkflow Orchestration Several agents hand work to each other: when alerts cluster on an application the SOC Agent launches a pentest, and the proven exploit becomes a detection rule, a WAF rule, a network firewall rule and a patch ticket, with SOC, Pentest, Threat Hunt and NetSecOps agents sharing one Context Lake. One alert can produce a response, a tighter detection, a closed attack path, or a false positive tuned down for good. Simbian describes the loop as seeing a threat, investigating, responding, scoring its own work and proposing a better version of itself. SourceSimbian, simbian.ai/self-improving-defenseread 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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Dropzone AITriggers & Channel Coverage Every alert the connected tools raise starts an investigation, hunts run on a schedule and on new CVEs and campaigns, and response automations fire on more than 50 system triggers. Sourcedropzone.airead 2026-09-28 |
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SimbianTriggers & Channel Coverage Work starts without a person asking: every alert is investigated on arrival, clustered alerts launch a pentest, and vulnerability feeds and peer breach reports start agent work. The SOC Agent begins the instant an alert is detected and reaches a response in under 4 minutes on average. SourceSimbian, simbian.ai/self-improving-defense and /products/ai-soc-agentread 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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Dropzone AIKnowledge Grounding & RAG Investigations query the customer's own tools live through the integrations, and analysts set custom strategies and define normal behavior. Context Memory serves as the persistent store, and no separate maintained index over the customer's documents is described. Sourcedocs.dropzone.ai/platform/settings/custom-strategiesread 2026-09-28 |
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SimbianKnowledge Grounding & RAG Context Lake is an organization wide, persistent map of the customer's assets and identities built from more than 100 sources, including SIEM, EDR, identity, CVE feeds, pentest reports, firewall rules and ITSM runbooks, which every agent queries. It stays in the customer's tenant. It also holds every past verdict, so a new investigation starts from what earlier ones found. SourceSimbian, simbian.ai and /products/ai-soc-agentread 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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Dropzone AIMemory & State Persistence Context Memory holds institutional facts across investigations. The agent writes to it when analysts change a conclusion, users add notes directly, and it can be reached through the API. Its scope and lifetime are not stated, and Dropzone only advises cleaning it up from time to time. Sourcedocs.dropzone.ai/platform/context-memoryread 2026-09-28 |
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SimbianMemory & State Persistence Every alert the SOC Agent closes is written back to the shared Context Lake, an organization wide persistent memory the other agents read, so they start with prior context instead of starting cold. Simbian does not say how long that memory is kept or how to delete anything from it. SourceSimbian, simbian.ai/products/ai-soc-agent and simbian.airead 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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Dropzone AIHuman Oversight & Guardrails Analysts approve or reopen each investigation in the product and from Slack (/dzapprove, /dzreopen), access to the customer's tools is read only by default, and response actions run only where the customer has configured them. Sourcedocs.dropzone.ai/integrations/tools/slack-chatopsread 2026-09-28 |
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SimbianHuman Oversight & Guardrails The customer's analysts approve the responses Simbian proposes, and Simbian reports that 95 percent are approved. Before the agents change their own skills, Simbian shows the change and its evidence, and the customer approves before anything is applied. Every action passes through a gate and can require approval, and customers lift gates one action type at a time on their own schedule. Anything that touches an employee, and anything destructive, stays gated permanently. SourceSimbian, simbian.ai/self-improving-defenseread 2026-10-05 |
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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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Dropzone AISecurity, Identity & Governance Access is managed with roles and permissions, and SAML SSO works through Okta, Google Workspace or Microsoft Entra. Dropzone holds SOC 2 Type 2, following a Type 1 audit by Sensiba, and runs a trust center at trustcenter.dropzone.ai. Sourcedropzone.ai/security-privacy-trustread 2026-09-28 |
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SimbianSecurity, Identity & Governance Simbian publishes no attestation and no SSO, SCIM or role model. Its DPA lists Auth0 as the authentication sub-processor, and it has no security page or trust center. Simbian says its TrustedLLM is hardened against prompt injection and data poisoning. SourceSimbian, simbian.ai/legal/dpa and simbian.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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Dropzone AIObservability & Auditability Each investigation produces an evidence backed report that shows the agent's reasoning, and every response action's output, errors and execution status are logged for auditing. Sourcedocs.dropzone.ai/platform/settings/response-actionsread 2026-09-28 |
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SimbianObservability & Auditability Each investigation returns a verdict with its reasoning, which analysts can watch and correct, and self scoring shows which cases fell short and why. There is no per run trace of the steps and tool calls, and no audit log. Each verdict carries a confidence rating and a severity that weighs business impact. SourceSimbian, simbian.ai/products/ai-soc-agent and /self-improving-defenseread 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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Dropzone AIDeployment & Data Residency Each customer gets a dedicated tenant in its own AWS subnet, normally in us-west-2, with optional regional deployments and in-region EU deployment on request for GDPR. The Enterprise plan includes a dedicated single tenant environment. Sourcedropzone.ai/security-privacy-trustread 2026-09-28 |
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SimbianDeployment & Data Residency The AI SOC Agent is offered as SaaS or as an on premises agent, and the Context Lake stays in the customer's tenant. No hosting regions are named, and the DPA lists US based sub-processors. Simbian says the SOC Agent deploys in hours with minimal configuration. SourceSimbian, simbian.ai/products/ai-soc-agent and /legal/dparead 2026-10-05 |
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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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Dropzone AIPrebuilt Agents, Templates & Packs Two agents ship, each doing its own job, the AI SOC Analyst for alert investigation and the AI Threat Hunter for hypothesis driven hunts, with prebuilt hunt packs such as APT29. An AI Threat Intel Analyst is planned. Sourcedropzone.airead 2026-09-28 |
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SimbianPrebuilt Agents, Templates & Packs The lineup is four named agents, each with its own job: the AI SOC Agent investigates alerts, the AI Pentest Agent tests and validates exploit paths, the AI Threat Hunt Agent tests hypotheses against historical data, and the AI NetSecOps Agent runs firewall and network operations around the clock. Named customers include Bottomline, Matillion, Axelar and Wipro, and Simbian says it runs in more than 300 enterprise environments. SourceSimbian, simbian.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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Dropzone AIModel Flexibility & Routing Dropzone runs on several named LLM services, including Anthropic, Azure OpenAI and Perplexity, and chooses among them itself. Customers cannot choose the model. Sourcedropzone.ai/security-privacy-trustread 2026-09-28 |
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SimbianModel Flexibility & Routing Simbian does not name the models behind its agents or offer the customer a model choice. The 27 models on its homepage are the entrants in its Cyber Defense Benchmark research, not options in the product. The entrants include Claude, GPT, Grok, GLM, DeepSeek and Kimi models, and the best of the 27 covers 45.1% of MITRE tactics. SourceSimbian, simbian.airead 2026-10-05 |
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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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Dropzone AIAPIs, SDKs & MCP Extensibility Developers get a REST API under /app/api/v1 with Api-Key authorization that covers investigations, bulk feedback, user notes, context memory, custom strategies, response actions and system events, with an OpenAPI 3.0.3 spec and a Swagger UI in the product. Sourcedocs.dropzone.ai/apiread 2026-09-28 |
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SimbianAPIs, SDKs & MCP Extensibility There are no developer docs and no API, SDK or MCP server for the Simbian platform. Simbian connects to the tools a customer already runs through its 100+ integrations, multi vendor from day one. SourceSimbian, simbian.ai and /products/ai-soc-agentread 2026-10-05 |
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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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Dropzone AITesting, Debugging & Optimization Analysts record feedback on investigations singly or in bulk and can reopen a conclusion, reviewing the agent's output after the fact. There is no evaluation harness, scored test set or gate before a strategy change goes live. Sourcedocs.dropzone.ai/apiread 2026-09-28 |
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SimbianTesting, Debugging & Optimization Simbian builds a test for a customer authored objective, scores itself on the customer's own data and shows which cases fell short and why, and proposed changes to its skills are shown with evidence for approval before they apply. It checks itself constantly where it is unsure and rarely where it is confident. Customers write objectives such as never paying a ransom, keeping a production line running or answering every alert. SourceSimbian, simbian.ai/self-improving-defenseread 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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Dropzone AIBrowser & Computer Use The agent queries the customer's tools through their APIs, and driving a browser, desktop or remote computer is not described. Sourcedropzone.airead 2026-09-28 |
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SimbianBrowser & Computer Use No agent drives a browser, desktop or remote computer. The agents read and write through integrations, and Simbian does not describe the pentest agent reaching applications through browser control. Response actions land in EDR, cloud and Active Directory through those integrations. SourceSimbian, simbian.ai and /self-improving-defenseread 2026-10-05 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | D Dropzone AI |
S Simbian |
|---|---|---|
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Entry price Lowest public entry point |
Not published. Plans are priced by investigation volume through sales. | Contact sales; demo led, 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 |
Investigations per year, per AI analyst, sold as an annual subscription. | not published |
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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 tierTrial
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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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