7AI
7AI is a Boston-based cybersecurity company building an agentic security platform that uses autonomous AI agents to investigate alerts, conduct security operations workflows, and reduce the manual burden placed on security teams.
The company was founded in 2024 by Lior Div (CEO) and Yonatan Striem-Amit (CTO), the co-founders of Cybereason. The leadership team also includes Nathan Burke (CMO) and Allen Lieberman (CPO). 7AI is backed by Index Ventures, Greylock, CRV, Spark Capital, and Blackstone Innovations Investments.
7AI serves enterprise security operations centers facing a fundamental challenge: attack volume is increasing faster than human capacity. Its platform is designed to investigate, correlate, and respond to security events across existing security infrastructure.
Why does 7AI matter now? Because cybersecurity has entered an era where the limiting factor is no longer data collection. It is human attention. Organizations already have alerts, telemetry, and dashboards. What they increasingly need is a way to convert that information into decisions and actions at machine speed.
About 7AI
The cybersecurity industry spent years building systems that could detect threats. Now it is confronting a different problem. Who investigates everything those systems discover? That question sits at the center of 7AI.
Founded in Boston in 2024, 7AI emerged from a team that has already experienced the realities of scaling enterprise security software. Lior Div and Yonatan Striem-Amit helped build Cybereason into one of cybersecurity's most recognized companies. Their latest venture begins with an observation security leaders know all too well: visibility is no longer the primary challenge. Operational capacity is.
Modern enterprises generate enormous volumes of security data across endpoints, cloud environments, identities, email systems, networks, and applications. Every security tool contributes useful information. Together, they create a flood of alerts that can overwhelm even highly mature security operations centers.
7AI's answer is what the company calls agentic security. Agentic security refers to autonomous AI systems capable of investigating, analyzing, and acting on security events rather than simply recommending actions to human analysts. Instead of functioning as another dashboard, assistant, or recommendation engine, the 7AI Agentic Security Platform is designed to perform security work through specialized AI agents that investigate alerts, enrich context, correlate signals, and support response actions.
Why 7AI Matters Right Now
Cybersecurity appears to be entering a new phase. The first era focused on visibility. The second focused on automation. The emerging phase is increasingly focused on execution. Organizations already possess extensive telemetry. They already have detection tools. They already have alert pipelines. The challenge is transforming enormous quantities of information into decisions fast enough to matter.
That challenge has intensified as generative AI lowers barriers for attackers. Security leaders now face two simultaneous pressures: attacks are becoming faster and more scalable while experienced security talent remains expensive and difficult to hire. Those conditions create a significant opportunity for platforms designed to automate investigative work rather than simply prioritize it. This is the environment 7AI is entering.
The Problem 7AI Is Solving
Security operations centers face a paradox. They know more about their environments than at any point in history, yet they often struggle to keep pace with incoming information. Analysts regularly navigate thousands of alerts generated by overlapping security tools. Many alerts prove benign. Others require extensive investigation before teams can determine whether a threat actually exists. The result is operational drag.
7AI's platform is designed to ingest alerts from existing security systems, enrich them with additional context, investigate potential threats, and help determine appropriate actions. The objective is not simply better visibility. The objective is reducing the amount of repetitive investigative work requiring human intervention.
The company's publicly reported metrics suggest meaningful operational impact. Within approximately 10 months of emerging from stealth, 7AI reported processing more than 2.5M alerts and completing over 650K investigations. The company has also reported reducing false positives by as much as 99% in customer environments.
Those numbers matter because cybersecurity ultimately becomes a resource allocation problem. Every minute spent reviewing a harmless alert is a minute unavailable for a genuine threat.
Market Context
The broader cybersecurity market is increasingly focused on autonomous operations. Security vendors across endpoint protection, cloud security, identity security, threat detection, and security operations are incorporating AI into their products. The distinction is no longer whether AI is present. The distinction is how much responsibility organizations are willing to delegate to it. This shift is creating a new category.
Unlike traditional SOAR platforms, which automate predefined workflows, or AI copilots that primarily assist analysts, agentic security platforms attempt to conduct investigations directly and drive operational outcomes. The category sits between automation and human-led operations, combining elements of both. 7AI positions itself squarely within that emerging category.
The demand behind the category is straightforward. Enterprise security teams need ways to increase operational capacity without increasing staffing at the same pace as alert volume.
Investors appear to agree. In 2024, 7AI raised a $36M seed round backed by Greylock, CRV, and Spark Capital. In December 2025, the company announced a $130M Series A led by Index Ventures, with participation from Blackstone Innovations Investments and existing investors. The result is $166M in disclosed funding and substantial resources to pursue category leadership.
Leadership and Team
The credibility behind 7AI starts with experience. Lior Div and Yonatan Striem-Amit are not approaching enterprise cybersecurity as first-time founders responding to a market trend. Before launching 7AI, they spent years building Cybereason into a major cybersecurity company serving large enterprises around the world. That experience matters.
Enterprise security buyers tend to be skeptical by necessity. They are purchasing technology that sits close to critical business systems. Proven operators often have an advantage because customers understand they have already navigated the realities of scaling security platforms.
The leadership team expanded in October 2024 with the addition of Nathan Burke as CMO and Allen Lieberman as CPO. Those additions signal a company preparing for broader market expansion while continuing to deepen product capabilities.
Leadership hires often reveal more about a company's trajectory than product announcements. Product launches communicate intent. Executive hiring communicates commitment.
Why Hiring Momentum Matters
Hiring activity is frequently one of the clearest indicators of market demand. When venture-backed companies increase investment across engineering, AI, product, security, and go-to-market functions, they are responding to anticipated growth rather than hypothetical growth.
7AI continues hiring across technical and operational roles. That matters for reasons beyond recruiting. It suggests customer deployments are increasing. It suggests platform complexity is expanding. It suggests leadership believes the opportunity ahead is materially larger than the one behind it.
For experienced operators, hiring momentum often provides a more reliable signal than marketing claims. To learn more about opportunities, visit the company's careers page.
What This Signals for Cybersecurity
The rise of companies like 7AI reflects a broader shift across enterprise cybersecurity. For years, organizations invested heavily in collecting security data. Increasingly, they are investing in systems capable of acting on that data.
That distinction sounds subtle until a security team is buried beneath thousands of daily alerts. The future security stack may not be defined by which platform produces the most information. It may be defined by which platform can transform information into outcomes with the least amount of human intervention.
If that thesis proves correct, agentic security could become one of the defining categories to emerge from the current AI cycle.
The Bigger Industry Shift
Every major technology cycle eventually encounters the same constraint. Human capacity. Not because people lack expertise. Because time remains finite.
Cybersecurity's central challenge has never been a shortage of data. It has been a shortage of attention. The companies attracting attention today are building systems designed to expand what skilled teams can accomplish without requiring proportional increases in staffing. That is the broader significance of 7AI.
The company is not simply building another security product. It is participating in a larger industry experiment around how autonomous systems will operate inside mission-critical enterprise environments across financial services, healthcare, retail, technology, and other highly regulated industries. Whether agentic security becomes a lasting category remains an open question. The demand driving its emergence does not.
Frequently Asked Questions
What is 7AI?
7AI is a Boston-based cybersecurity company that develops an agentic security platform using autonomous AI agents to investigate alerts and support security operations workflows.
Who founded 7AI?
7AI was founded in 2024 by Cybereason co-founders Lior Div and Yonatan Striem-Amit.
What is agentic security?
Agentic security refers to autonomous AI systems that investigate, analyze, and act on security events rather than simply recommending actions to human analysts.
How much funding has 7AI raised?
7AI has raised $166M, including a $36M seed round and a $130M Series A led by Index Ventures.
How is 7AI different from traditional SOAR platforms?
Traditional SOAR platforms automate predefined workflows. 7AI's agentic security model uses autonomous AI agents capable of conducting investigations and supporting operational decisions.
What does the 7AI platform do?
The 7AI Agentic Security Platform investigates alerts, correlates security signals, enriches context, and supports automated response workflows across enterprise environments.
Which industries can use 7AI?
7AI targets enterprise organizations across financial services, healthcare, retail, technology, and other regulated industries operating complex security environments.
Why are investors paying attention to 7AI?
Investors view agentic security as a response to rising attack volumes, analyst shortages, and the growing need for scalable security operations in enterprise environments.
