The startup will use the seed funding to expand its AI-native cybersecurity platform, which helps give security teams and AI agents a cleaner and more reliable data foundation for detecting, investigating and responding faster to emerging cyberthreatsBeacon Security, a cybersecurity startup developing tools for AI-driven security operations, has raised $13 million in seed funding as companies look for ways to manage growing risks tied to artificial intelligence.The round was led by Notable Capital, with participation from Holly Ventures, AlphaDrive Ventures, SVCI, Jefferies Family Office and more than 60 cybersecurity founders and chief information security officers. Investors include founders from Talon, Descope, Gem Security, Dig Security and Cider Security.GalleryBeacon Security co-founders Gal Tal-Hochberg, Or Mattatia and Iddo Israely (Photo: Beacon Security)Beacon said it will use the funding to expand its platform, which is designed to give security teams and AI agents a cleaner and more reliable data foundation for detecting, investigating and responding to cyberthreats.The company, founded in 2024, says it has seen rapid early adoption among enterprise customers in sectors including financial services, insurance, technology, health care and hospitality. Beacon said its annual recurring revenue grew more than 300% in the first half of 2026, though it did not disclose revenue figures.Beacon is led by co-founder and CEO Gal Tal-Hochberg, who previously founded HiredScore, an HR technology company acquired by Workday for $520 million. He founded Beacon with Or Mattatia and Iddo Israely, who have backgrounds in cyber defense, offensive security and large-scale data infrastructure.“The acceleration of AI agents in the enterprise is creating a distinct need for a legible context layer for cyber defenders, which is fueling a fundamentally new security architecture,” Tal-Hochberg said. “We built Beacon to solve these challenges by providing the trusted data layer that allows organizations to deploy security agents compliantly and effectively.”Beacon’s platform sits between a company’s security data sources and the tools used by analysts. It is intended to normalize, enrich and organize data from multiple vendors so both human analysts and AI agents can work from a more complete and reliable picture.(Photo: Shutterstock)The company is positioning itself in the emerging market for “agentic” cybersecurity, a term used to describe systems in which AI agents can help perform security tasks such as detection engineering, investigations, alert triage, threat hunting and analysis of unauthorized AI tools inside an organization.Beacon said its platform includes a data layer for fusing and cleaning security telemetry, an environment for building and running AI-driven security workflows, and a library of specialized security agents. The company said future agents will focus on areas such as shadow-AI analysis, alert triage and investigations.Security teams have increasingly looked to automation and AI to deal with expanding attack surfaces and rising alert volumes. But the use of AI in security operations also depends heavily on the quality of the underlying data. Poorly structured or incomplete data can make both automated systems and human analysts less effective.“Every CISO knows the real bottleneck isn’t detection; it’s trust in your own data. That problem doesn’t go away when you add agents; it gets less forgiving,” said Oren Yunger, managing partner at Notable Capital and a Beacon board member. “The data-trust gap is exactly what Beacon is bridging in the AI era, bringing context to the security teams and their agentic workforce.”Beacon said the funding follows the launch of its agentic data layer, which automates the normalization and enrichment of security data and is aimed at reducing the engineering work required to prepare data for security operations.The funding comes as cybersecurity vendors race to define how AI agents will be used in enterprise defense.