7AI
Also known as: Seven AI
Agentic SOC from the Cybereason founders: domain specialized agents work each alert in parallel across endpoint, identity, cloud, email, and network, from detection through response and hunting, with humans on the loop.
7AI is the swarming architecture bet in the AI SOC lane, from the team with the heaviest pedigree in it. Founded in Boston in 2024 by Lior Div and Yonatan Striem-Amit, the co founders of Cybereason, the company launched from stealth in February 2025 with a $36 million seed and closed a $130 million Series A in December 2025 led by Index Ventures with Greylock, CRV, and Spark, reported as the largest cybersecurity Series A on record, for roughly $166 million raised in its first eighteen months. It was named to the Fortune 2026 Cyber 60.
Where rivals route an alert through a single investigating agent, 7AI deploys a swarm: purpose built agents specialized across five domains, endpoint, identity, cloud, email, and network, working the same alert in parallel, an endpoint agent enriching device context while an identity agent checks user behavior.
The platform covers the full lifecycle, ingesting and triaging alerts, enriching signals, investigating across systems, threat hunting, and driving response, and positions explicitly against playbook based SOAR: agents reason through alerts case by case, including novel threats, rather than executing pre written rules.
A managed service, PLAID, layers 7AI's agents with human expertise for teams that want outcomes rather than software, and the platform sells via contact sales and AWS Marketplace.
Independent coverage calls 7AI one of the most experimental platforms in the category: the architecture is impressive, performs well in large EDR and cloud estates, and rewards innovation driven teams with engineering capacity to tune it, while teams wanting turnkey supervised triage may find simpler overlay analysts faster to trust. No pricing is published. The bet buyers are underwriting is that swarming domain specialists, from the team that built Cybereason, become the architecture the category converges on.
Vendor details
Canonical URL
https://7ai.com
Category
Security / SOC agent
Subcategory
AI SOC analyst
Funding status
Independent, Boston based, founded 2024 by Lior Div and Yonatan Striem-Amit, the co founders of Cybereason. Launched from stealth in February 2025 with a $36 million seed, then raised a $130 million Series A in December 2025 led by Index Ventures with Greylock, CRV, and Spark, reported as the largest cybersecurity Series A on record, for about $166 million total. Named to the Fortune 2026 Cyber 60.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Purpose built agents work each alert in parallel, and built in response actions run back through the customer's own tools to isolate hosts, revoke sessions, reset passwords, and quarantine files.
In practice
A single investigating agent keeps missing cross domain attacks. 7AI swarms each alert with specialized endpoint, identity, cloud, email, and network agents working in parallel.
Your SOAR playbooks break on anything novel. 7AI's agents reason through alerts case by case instead of executing pre written rules, covering threats no playbook anticipated.
You want agentic SOC outcomes without running the platform. PLAID pairs 7AI's agent swarm with managed human expertise through resolution.
Sources & related URLs
Agentic Index coverage score
8.5 / 14 capabilities · 61%
| Integrations & Tool Calling | Full |
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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, and 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 |
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| Workflow Orchestration | Full |
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The platform runs the security operations lifecycle as one system (detect, investigate, respond, hunt), and Response adds a visual Workflow Designer where customers compose multi-step response with If / Else, Switch and For Each branching, wait-for-approval steps, versioning, publishing and a full execution history, with workflows triggered the moment an investigation completes or a case changes. The swarming description cited in August is no longer on the platform page; the grade rests on the workflow engine and the lifecycle loop. Source7ai.com/platform and platform/responseread 2026-09-29 |
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| Knowledge Grounding & RAG | Full |
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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 |
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| Human Oversight & Guardrails | Full |
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Response ships explicit approval gates: 7AI proposes the exact containment actions and the customer approves what executes, with pre approved steps, humans on the loop as the stated operating model, workflow branching that can wait for approval, and every action recorded in an audit log. Source7ai.com/platform/response and platform/investigationsread 2026-08-30 |
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| Security, Identity & Governance | Partial |
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Security page documents a completed SOC 2 Type II audit covering the AICPA security and confidentiality categories, conducted by named auditor Decrypt Compliance, with need to know access limits and regular systems testing; the report is confidential on request and no trust center, published pen test, SSO, or RBAC documentation was found. Source7ai.com/securityread 2026-08-30 |
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| Observability & Auditability | Full |
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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, with each finding mapped to its artifact, an entity graph for pivoting, and a full audit log on every remediation action; reconstructing the why, not only the what. Source7ai.com/platform/investigations and platform/responseread 2026-08-30 |
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| Memory & State Persistence | Partial |
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Cases persist from open through closed with full context and the Enterprise Insights context graph is applied to every case, while the agentic flywheel feeds response and hunt outcomes back into detection; this is case and environment state rather than a documented agent memory layer. Source7ai.com/platform and platform/enterprise-insightsread 2026-08-30 |
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| Deployment & Data Residency | Partial |
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Delivered as SaaS at app.sevenai.com with AWS Marketplace procurement; Federated SIEM queries the customer's security data where it already lives rather than centralizing it, but no self host, VPC, or region selection is documented on the site or the security page. Source7ai.com/platform/federated-siem and 7ai.com/securityread 2026-08-30 |
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| Prebuilt Agents, Templates & Packs | Full |
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A library of more than sixty purpose built domain specialized agents across endpoint, identity, cloud, email, and network, plus a Skills library of reusable investigation and hunting strategies that can be toggled on or off and that 7AI also generates from the customer's environment, and runbooks codifying procedures for common incident types. Source7ai.com/platform/skills and platform/responseread 2026-08-30 |
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| Triggers & Channel Coverage | Full |
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Alert driven autonomous invocation on every alert from every connected source across endpoint, identity, cloud, email, network, and threat intelligence, around the clock, plus workflows triggered by investigation completion or case state change and threat intel driven hunts. Source7ai.com/platform and platform/responseread 2026-08-30 |
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| Model Flexibility & Routing | Not documented |
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The vendor's own glossary defines a 7AI agent as consisting of a cloud based LLM, a mission, and tools, confirming LLM use but naming no provider and describing no routing; under the model axis floor an undisclosed provider is N. Source7ai.com/glossaryread 2026-08-30 |
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| APIs, SDKs & MCP Extensibility | Not documented |
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The build on 7AI motion is Skills, plain markdown investigation strategies with relevance rules, and custom response Workflows composed in a visual designer with no scripting; both are in product configuration surfaces, and no public API, SDK, webhooks, or MCP server is documented anywhere on the site. Source7ai.com/platform/skills and platform/responseread 2026-08-30 |
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| Testing, Debugging & Optimization | Not documented |
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The platform surfaces detection tuning recommendations for review, scores ATT&CK coverage, and Security Posture scores the customer's posture against frameworks, and skills can be kept as drafts before publishing; these tune the customer's detection estate rather than providing agent testing, debugging, or evaluation tooling. Source7ai.com/platform and platform/security-postureread 2026-08-30 |
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| Browser & Computer Use | Not documented |
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Agents act through API level integrations with the customer's existing endpoint, identity, email, and cloud tools rather than operating software through a browser; no browser or computer use capability is documented on any platform page. Source7ai.com/platform/responseread 2026-08-30 |
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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; enterprise contracts, AWS Marketplace procurement available
enterprise contract
Included quota
Platform contract covers the multi agent swarm across endpoint, identity, cloud, email, and network domains; PLAID managed service priced separately.
What is public
Nothing. No pricing page exists; the site routes to Request a Demo. Engagement models are published but carry no amounts.
Billing mechanics
Enterprise contracts through direct sales with AWS Marketplace as a procurement path, letting buyers draw down committed cloud spend. PLAID managed service sold as a separate engagement.
Cost watchouts
Independent coverage notes the platform rewards teams with engineering capacity to tune it: budget integration and tuning effort alongside the license. PLAID managed service is a separate engagement on top of the platform.
Variable cost rationale
Enterprise platform licensing with no documented usage metering; the variable component is tuning effort and the optional PLAID service, not metered billing.
Additional watchouts
The most experimental architecture in the lane per independent coverage: strongest in large EDR and cloud estates with engineering capacity, heavier to tune for teams wanting turnkey triage.
Overage / add-ons
No public metering or overage terms documented.
Sales call required
Yes, required for paid access
Free / trial
Enterprise evaluations through sales; no self serve trial
Lowest paid plan
None public; enterprise contract only
Commercial notes
Sales led with no public rate card. Three engagement models are published: run the platform yourself with dedicated AI Security Engineers, have 7AI run it as PLAID ELITE fully managed security operations, or build on the platform via Skills and Workflows. On demand DFIR is a separate service.
Key ambiguities
Nothing numeric is public, and the split between platform licensing and the PLAID service engagement is not documented.
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Alternatives to 7AI
The closest documented capability profiles to 7AI 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.
- Exaforce8.0 / 14A lighter documented profile than 7AI
- Conifers.ai9.5 / 14Adds documented Testing, Debugging & Optimization
- Quantro Security7.0 / 14A lighter documented profile than 7AI
- ReliaQuest10.0 / 14Adds documented APIs, SDKs & MCP Extensibility
- Tuskira10.0 / 14Adds documented Model Flexibility & Routing and APIs, SDKs & MCP Extensibility
- Anvilogic8.5 / 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