7AI is an AI security platform that deploys autonomous AI agents to handle security operations center (SOC) work — alert triage, investigation, threat hunting, and incident response. Unlike traditional SOAR tools that execute pre-written playbooks, 7AI uses Dynamic Reasoning to investigate novel threats in real time without predefined rules.
Founded in 2024 by Lior Div and Yonatan Striem-Amit, the same team behind Cybereason, 7AI launched from stealth in February 2025. By December 2025, the company raised a $130 million Series A led by Index Ventures — the largest cybersecurity Series A in history — bringing total funding to $166 million. The company is headquartered in Boston, Massachusetts.
The platform’s core differentiator is Dynamic Reasoning: the ability for AI agents to investigate completely novel threats without requiring pre-written playbooks or detection rules, adapting their investigative strategy in real time based on each unique security scenario.
Other investors include Greylock, CRV, Spark, and Blackstone Innovations Investments.
What is 7AI?
7AI replaces the manual, repetitive work that consumes most SOC analyst time. Instead of human analysts triaging thousands of alerts, enriching data across multiple tools, and manually correlating signals, 7AI deploys specialized AI agents that swarm on alerts and work through investigations autonomously — from initial data enrichment through cross-system correlation to forming actionable conclusions.
The platform maintains 60+ purpose-built agents organized into five domains: Endpoint, Identity, Cloud, Email, and Network. Each agent handles specific investigative tasks, from device enrichment and file provenance analysis to user behavior assessment and network traffic correlation.
As of early 2026, 7AI reports processing 5M+ alerts across its customer base, saving 732,910+ analyst hours (roughly 366 full-time analyst-years) and reclaiming $42.1M in SOC productivity value since launching in February 2025.
Key Features
| Feature | Details |
|---|---|
| Agent Types | 60+ specialized agents across Endpoint, Identity, Cloud, Email, Network |
| Dynamic Reasoning | Real-time investigative strategy for novel and known threats |
| False Positive Reduction | 95-99% elimination in production deployments |
| Alert Processing | 5M+ alerts processed; 732,910+ analyst hours saved |
| Investigation Speed | Minutes instead of hours per investigation |
| SOC Productivity | $42.1M reclaimed value across customer base |
| Response Actions | Endpoint isolation, account disabling, IP blocking with human-in-the-loop |
| Integrations | 50+ tools (CrowdStrike, Splunk, Okta, AWS, Microsoft 365, etc.) |
| Platform Modules | Cases, Investigations, Detection, Response, Hunting, Enterprise Insights |
| Threat Hunting | Proactive cross-system correlation with IOC extraction |
| Reporting | Real-time dashboards and board-ready security metrics |
| Deployment | Cloud-based platform with API integrations |
Dynamic Reasoning
Traditional security automation follows a fixed path: if alert matches pattern X, execute playbook Y. This works for known threats but fails against novel attack techniques and zero-days. Dynamic Reasoning takes a fundamentally different approach — agents assess each alert’s context and determine the investigative strategy on the fly.
When an agent encounters unusual activity, it decides which data sources to query, what correlations to check, and how deep to investigate based on what it discovers along the way. This means the platform can handle threats that don’t match any existing signatures or rules, turning attacker tactics into defensive intelligence.
Swarming agent architecture
Rather than routing alerts through a single automated pipeline, 7AI deploys multiple specialized agents simultaneously. An endpoint agent enriches device context while an identity agent checks user behavior and a network agent analyzes traffic patterns — all working in parallel on the same alert. This swarming approach produces richer investigations and faster time-to-conclusion than sequential processing.
Enterprise Insights
The platform includes context-aware agents that factor in organizational policies, user roles, and approved software when making decisions. This contextual awareness reduces false positives further — an alert about unusual software installation, for instance, gets evaluated against the company’s approved software list before escalating.
Enterprise Insights dashboards provide real-time visibility into alert volumes, agent performance, investigation outcomes, and security posture trends. Reports are board-ready, translating operational metrics into business impact language.
Getting Started
When to use 7AI
Ideal for security teams drowning in alert volume — organizations where analysts spend most of their time on repetitive triage rather than strategic security work. It makes the biggest difference in large, distributed environments generating thousands of daily alerts across multiple security tools.
DXC Technology, one of 7AI’s early customers, deployed what they describe as the world’s largest agentic security operation in eight weeks, reporting an 80% reduction in tier-1 analyst time and a 95% drop in tickets requiring human analysis. BigID reported achieving 10x scaling of their security team capacity without adding headcount.
The platform connects via API to existing security tools rather than replacing them, so deployment builds on your current stack rather than requiring a rip-and-replace. Customers report implementation timelines measured in weeks rather than months.
For a broader overview of AI security tools, see the AI security tools guide. For AI-focused threat detection in code and models rather than SOC operations, consider Protect AI Guardian or CalypsoAI.
