7AI

Automation & Agents , Workflow , Productivity

7AI is an autonomous security operations platform that uses agent swarms to investigate and resolve alerts, moving beyond static playbooks to goal-oriented incident response.

Best fit for enterprise SOC teams with high alert volumes who need to automate Tier 1 and Tier 2 triage without maintaining complex manual workflows.

Ai Agents Automation Autonomous Agents Api Analytics Enterprise Workflow Automation Cybersecurity

Analysis based on product data, pricing structure, traffic signals, and public user sentiment.

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Who Should Use 7AI?

Typical users

SOC Managers, Security Architects, and Incident Responders at large enterprises or MSSPs.

Maturity fit

advanced

Choose this if…

Your team is overwhelmed by false positives from SIEM and EDR tools.
You want to move away from maintaining rigid, brittle SOAR playbooks.
You have a mature security stack with well-defined APIs for your tools.
Your priority is reducing Mean Time to Resolution (MTTR) through autonomous action.

Skip this if…

You lack a centralized security logging or alerting infrastructure.
Your organizational policy prohibits automated remediation actions on endpoints.
You are a small business with low alert volume that doesn't justify enterprise-grade AI orchestration.

About 7AI

7AI is an agentic security platform built by industry veterans from Palo Alto Networks and Demisto. It aims to solve the 'alert fatigue' problem by deploying autonomous AI agents that think and act like security analysts to investigate threats at scale.

What it actually does

The platform ingests alerts from existing security tools and initiates 'swarms' of specialized agents to perform deep investigations. These agents gather context from across the environment, determine the validity of a threat, and can execute remediation steps like isolating hosts or resetting credentials.

What makes it different

Unlike traditional SOAR platforms that require users to build and update manual 'if-then' logic, 7AI uses autonomous reasoning. Its agents don't just follow a script; they adapt their investigation based on the evidence they find, mimicking the cognitive process of a human analyst.

Autonomous alert triage Multi-agent swarm orchestration Automated evidence and artifact collection Cross-tool correlation (SIEM, EDR, Cloud) Natural language incident reporting Automated remediation execution Explainable AI decision paths

Key Features

Swarm Intelligence

Deploys multiple agents simultaneously to investigate different aspects of a single incident.

Agentic Reasoning

Agents make decisions based on context rather than just following a pre-set flowchart.

API-First Integrations

Connects directly to tools like CrowdStrike, SentinelOne, Splunk, and Okta.

Autonomous Remediation

Can be configured to take active containment steps without human intervention.

Audit Trails

Provides a step-by-step breakdown of every query and decision the AI made during an investigation.

Feedback Loop

Allows human analysts to correct AI decisions, which the system uses to improve future accuracy.

Pricing

Popular

Enterprise

Custom Annual

Full autonomous agent swarms
Unlimited tool integrations
Custom remediation workflows
Dedicated support and onboarding
Explainable AI audit logs

Pricing checked 4 months ago

Pricing guidance

Best plan for most users: The Enterprise plan is the standard offering, as the tool is designed for high-scale environments.

Free plan enough? No — there is no public free tier or self-serve trial available.

Upgrade when:

Increasing alert volume beyond human capacity
Need for faster response times to meet compliance SLAs
Expansion of security operations into multi-cloud environments

Watch out for:

Performance is tied to the rate limits of your integrated tools (e.g., SIEM API limits).
Remediation capabilities depend on the specific permissions granted to the 7AI service account.

Premium enterprise positioning with a focus on high-value ROI through labor cost savings.

Pros & Cons

Strengths

Eliminates playbook maintenance
Because the agents are autonomous, security teams spend less time building and fixing broken automation scripts when tool APIs change.
Significant MTTR reduction
Agents can complete a full investigation and remediation cycle in minutes, which would take a human analyst 30-60 minutes.
High-fidelity investigations
The 'swarm' approach ensures that multiple data sources are checked in parallel, leading to more accurate threat validation than single-point tools.

Weaknesses

High trust requirement
Allowing an autonomous agent to isolate production servers or disable executive accounts carries inherent risk that requires extensive testing.

Affects: Risk-averse enterprise organizations
Integration complexity
The tool is only as good as the API access it has; setting up the necessary permissions across a fragmented security stack can be time-consuming.

Affects: Security Engineering teams
Opaque pricing
Lack of public pricing makes it difficult for mid-market teams to assess if the tool fits their budget without a lengthy sales process.

Affects: Procurement and small security teams

Real User Sentiment

Generally positive among early adopters who value the shift from manual playbooks to autonomous reasoning.

Users tend to like

The speed of investigation
The quality of the automated summaries
The reduction in Tier 1 analyst workload

Users commonly complain about

Initial skepticism about autonomous remediation
The need for precise API permissioning
Limited public documentation

Recurring tradeoffs

Users trade granular manual control for massive gains in speed and scale.

Happiest users

SOC Directors at large enterprises who are struggling to hire and retain Tier 1 analysts.

Often frustrated

Security teams in highly regulated environments who are restricted from using automated response tools.

Use Cases

Phishing Investigation

Automatically analyzing reported emails, checking links, and deleting malicious messages across the fleet.

Endpoint Triage

Investigating EDR alerts by correlating process logs with network traffic and threat intelligence.

Identity Threat Response

Resolving 'impossible travel' or MFA fatigue alerts by checking user behavior patterns.

Cloud Security Triage

Investigating misconfiguration alerts in AWS/Azure and suggesting or applying fixes.

Vulnerability Contextualization

Determining if a detected vulnerability is actually exploitable based on current network configurations.

Frequently Asked Questions

How much does 7AI cost?

7AI does not publish pricing. It is sold as an enterprise contract, typically based on the volume of alerts processed or the size of the protected environment. Expect a custom quote after a demo.

How is 7AI different from a SOAR like Tines or Torq?

Tines and Torq are 'no-code' automation platforms where you build the logic (playbooks) yourself. 7AI is 'agentic,' meaning it uses AI to decide which steps to take based on the goal, reducing the need to build manual workflows.

Does 7AI replace my SOC analysts?

No. It is designed to handle the repetitive Tier 1 and Tier 2 work (triage and investigation), allowing your human analysts to focus on high-level threat hunting and strategic security improvements.

What integrations does 7AI support?

It supports major enterprise security tools including CrowdStrike, SentinelOne, Palo Alto Networks, Splunk, Microsoft Sentinel, and various cloud providers via API.

Can I use 7AI without giving it remediation powers?

Yes. You can run 7AI in 'recommendation mode' where it performs the investigation and provides a report, but requires a human to click 'approve' before any remediation action is taken.

Is there a free trial available?

There is no self-serve free trial. Interested organizations must contact their sales team to set up a Proof of Value (POV) using their own data.

Why trust this page?

This evaluation combines product positioning, pricing analysis, traffic and market signals, and public user sentiment into a single decision-support page. Content is generated editorially — not copied from the vendor's website.

Funding & Company

Founded

2024

Stage

Series a

Total Raised

$166M

Latest Round

Series A (Dec 2025)

Notable Investors

Index Ventures Greylock Partners Blackstone Innovations Investments Spark Capital CRV

7AI has raised a total of $166 million across two funding rounds since its founding in 2024. The company secured a landmark $130 million Series A in December 2025, noted as the largest in cybersecurity history, just ten months after emerging from stealth with a $36 million seed round.

Full funding report high confidence

Market Signals & Traffic

Estimated visits, global rank, geography, traffic sources, monthly visit trends, and organic search keywords (Similarweb)—on a dedicated page built for depth and search.

Estimated visits: 0
Global rank: —
Snapshot: Apr 2026
Traffic trend: —