The security company teaching AI agents to do the work the SOC never had time for.
Every security operations center runs on the same quiet math. Thousands of alerts arrive. A handful matter. And somewhere between the two sits an analyst, awake at 3 a.m., proving over and over that nothing happened. 7AI, a Boston company founded in 2024, was built to change who does that proving.
The company builds an agentic security platform: software that deploys autonomous, reasoning-based AI agents to ingest alerts from a customer's existing security tools, triage them, investigate the suspicious ones, and hand human teams only what is real - with full context and a recommended action attached. Where a legacy SOC measures response in hours, 7AI says its customers measure it in minutes. In its first ten months, the company reports its agents processed more than 2.5 million alerts and completed over 650,000 investigations.
The founders are not newcomers. Lior Div and Yonatan Striem-Amit previously built Cybereason, one of Boston's best-known cybersecurity companies. Their new thesis is blunt: the industry hit an "agentic security inflection point," and the repetitive triage that burns out analysts - what 7AI calls "non-human work" - is exactly the work AI should take over.
We're at an agentic security inflection point that changes the equation entirely.
Figures reported by 7AI and its customers; production results vary by environment.
Security teams are structurally outnumbered. Alert volume grows faster than headcount, and most of that volume is noise - by 7AI's account, 95 to 99 percent of alerts turn out to be false positives. The result is alert fatigue, slow response, and analysts spending their attention on the wrong things.
7AI's customers are enterprises that feel this acutely: Fortune 500 organizations across financial services, retail, technology, and healthcare. Named deployments include DXC Technology, which the two companies describe as the world's largest agentic security operation, live in eight weeks, and BigID, which reported scaling its security team's capacity tenfold without adding headcount.
The pitch is not a better dashboard. It is a shift in who does the work: let agents read every alert, and let people do the strategic threat hunting and proactive defense that actually needs a human.
Ingests alerts from a customer's existing tools, applies AI reasoning to triage and investigate, and surfaces only real threats with context and recommended actions. Supports remediation such as isolating endpoints, disabling accounts, and blocking IPs.
Autonomous, reasoning-based agents that work in parallel across triage, investigation, enrichment, and threat hunting - designed to cut mean time to respond from hours to minutes rather than to assist a single analyst.
A white-glove offering that pairs the platform with human-led customization and guided deployment for enterprises that want a hands-on rollout.
Available directly and via AWS Marketplace.
Most AI security tooling positions itself as a copilot - a helpful assistant that waits for an analyst to ask. 7AI's design choice is the opposite. Its agents act. They investigate on their own, in swarms, and reach conclusions the platform frames as "service as software": the value is the work getting done, not a tool that needs babysitting.
That distinction sets it apart from both the newer AI-SOC startups it competes with and the incumbent detection platforms it plugs into. Rather than replacing a company's security stack, 7AI sits on top of it, reading the output of tools already in place.
7AI is helping us fundamentally reimagine how security operations function at scale.
In December 2025, 7AI announced a $130 million Series A led by Index Ventures, with new investor Blackstone Innovations Investments and all existing seed backers participating. The company and press described it as the largest cybersecurity Series A on record, bringing total funding to roughly $166 million. Notably, 7AI reached that milestone about 302 days after leaving stealth.
Fortune 500 customers are experiencing measurable results at scale within weeks.
Co-founder and former CEO of Cybereason. Frames 7AI around the "agentic security inflection point" and the idea that AI should take over the SOC's repetitive work.
Co-founder and former CTO of Cybereason. Leads the engineering behind 7AI's autonomous, reasoning-based agent architecture.
Cybereason co-founders Lior Div and Yonatan Striem-Amit start 7AI with $36M in seed funding from Greylock, Spark and CRV.
Launches its agentic security platform, offloading "non-human work" to swarming autonomous AI agents.
Raises what it calls the largest cybersecurity Series A in history, led by Index Ventures with Blackstone, reaching $166M total.
Passes 100 employees as deployments like DXC and BigID demonstrate large-scale agentic security in production.
We went from first conversation to the world's largest agentic security deployment in just eight weeks.
We're at an agentic security inflection point that changes the equation entirely.
Fortune 500 customers are experiencing measurable results at scale within weeks.
7AI is helping us fundamentally reimagine how security operations function at scale.
7AI builds an agentic security platform that uses autonomous AI agents to triage and investigate security alerts, filter out false positives, and surface only real threats with recommended actions - reducing mean time to respond from hours to minutes.
It was founded in 2024 by Lior Div (Co-Founder & CEO) and Yonatan Striem-Amit (Co-Founder & CTO), who previously co-founded the cybersecurity company Cybereason.
About $166M total, including a $130M Series A in December 2025 led by Index Ventures with Blackstone Innovations Investments - described as the largest cybersecurity Series A on record - following a $36M seed round.
Fortune 500 enterprises across financial services, retail, technology and healthcare. Named customers include DXC Technology and BigID, and the company reports processing over 2.5 million alerts in its first ten months.
Rather than assisting an analyst, 7AI deploys swarms of autonomous, reasoning-based agents that do the investigation work themselves - integrating with existing tools and acting on threats, which the company frames as "service as software."