7AI vs Simbian (2026)

The platform ingests alerts from the customer's existing stack across endpoint, identity, cloud, email, network and threat intelligence, with named sources including CrowdStrike, SentinelOne, Microsoft Defender, Microsoft Sentinel, AWS, Splunk and Wiz. It acts back through those tools with built in response actions to isolate hosts, revoke sessions, reset passwords and quarantine files.

Source7ai.com/platform and platform/responseread 2026-08-30

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

The platform runs the security operations lifecycle as one system, covering detection, investigation, response and hunting. Response adds a visual Workflow Designer where customers compose multi step response with If / Else, Switch and For Each branching, steps that wait for approval, versioning, publishing and a full execution history. Workflows start the moment an investigation completes or a case changes.

Source7ai.com/platform and platform/responseread 2026-09-29

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

Every alert from every connected source across endpoint, identity, cloud, email, network and threat intelligence starts the agents on its own, around the clock. Workflows also start when an investigation completes or a case changes state, and threat intelligence drives hunts.

Source7ai.com/platform and platform/responseread 2026-08-30

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

Enterprise Insights builds a customer context graph applied to every case. Skills let teams encode their own environment knowledge and tradecraft as reference documents and checklists that agents follow, and Federated SIEM queries the customer's security data where it lives. Agents enrich each alert from this grounding plus threat intelligence.

Source7ai.com/platform/enterprise-insights, platform/skills, platform/federated-siemread 2026-08-30

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

Cases persist from open through closed with full context, and the Enterprise Insights context graph is applied to every case. The agentic flywheel feeds response and hunt outcomes back into detection. This is case and environment state, not a separate agent memory layer.

Source7ai.com/platform and platform/enterprise-insightsread 2026-08-30

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

Response has explicit approval gates. 7AI proposes the exact containment actions and the customer approves what executes. Some steps can be approved in advance, humans on the loop is the stated operating model, workflow branches can wait for approval, and every action is recorded in an audit log.

Source7ai.com/platform/response and platform/investigationsread 2026-08-30

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

A completed SOC 2 Type II audit, conducted by Decrypt Compliance, covers the AICPA security and confidentiality categories. Access is limited on a need to know basis, and systems are tested regularly. The report is confidential and available on request, and there is no trust center, pen test, SSO or RBAC information.

Source7ai.com/securityread 2026-08-30

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

The agentic report opens every investigation step to show each agent's mission, the tools it ran, the exact request and response, and why it concluded what it did. Each finding maps to its artifact, an entity graph supports pivoting, and every remediation action has a full audit log, so a team can reconstruct why the agent acted, not only what it did.

Source7ai.com/platform/investigations and platform/responseread 2026-08-30

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

7AI is delivered as SaaS at app.sevenai.com and can be bought through AWS Marketplace. Federated SIEM queries the customer's security data where it already lives instead of centralizing it, but there is no self hosting, VPC or region selection.

Source7ai.com/platform/federated-siem and 7ai.com/securityread 2026-08-30

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

There are more than sixty purpose built agents, specialized by domain across endpoint, identity, cloud, email and network. A Skills library holds reusable investigation and hunting strategies that can be toggled on or off, some generated by 7AI from the customer's environment, and runbooks codify procedures for common incident types.

Source7ai.com/platform/skills and platform/responseread 2026-08-30

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

The glossary defines a 7AI agent as a cloud based LLM, a mission and tools. That confirms LLM use, but no provider is named and no routing is described.

Source7ai.com/glossaryread 2026-08-30

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

Customers build on 7AI through Skills, plain markdown investigation strategies with relevance rules, and custom response Workflows composed in a visual designer with no scripting. Both live in product configuration screens, and there is no public API, SDK, webhooks or MCP server.

Source7ai.com/platform/skills and platform/responseread 2026-08-30

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

The platform surfaces detection tuning recommendations for review and scores ATT&CK coverage, Security Posture scores the customer's posture against frameworks, and skills can be kept as drafts before publishing. These tune the customer's detection setup, and none of them tests, debugs or evaluates the agents.

Source7ai.com/platform and platform/security-postureread 2026-08-30

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

Agents act through API level integrations with the customer's existing endpoint, identity, email and cloud tools, not by operating software through a browser. There is no browser or computer use capability.

Source7ai.com/platform/responseread 2026-08-30

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