Artificial intelligence is changing cybersecurity on both sides. Attackers are using AI to move faster, automate attacks, and uncover weaknesses at a pace that traditional security teams struggle to match. That shift is creating demand for software that gives human analysts and AI agents a shared view of security data. Beacon Security believes it has built the missing layer, and investors are betting on it.
The startup announced Thursday that it has raised a $13 million seed round led by Notable Capital. Holly Ventures, AlphaDrive Ventures, SVCI, Jefferies Family Office, and more than 60 founders and chief information security officers joined the round. The syndicate includes founders behind Talon, Descope, Gem Security, Dig Security, and Cider Security.
Beacon plans to use the new funding to grow its platform, which acts as a central intelligence layer for enterprise security operations. The company says the platform gives human analysts and AI agents access to the same clean, enriched security data, making it easier to investigate threats, automate repetitive work, and respond to incidents.
“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,” said Gal Tal-Hochberg, CEO and Co-Founder of Beacon. “We built Beacon to solve these challenges by providing the trusted data layer that allows organizations to deploy security agents compliantly and effectively. With this investment, we are transforming security for native AI usage to drive real-time posture, detection and response, deep hunting, and operational analysis of security estates at unprecedented efficiency, scale, and complexity.”
Founded in 2024, Beacon was created by veterans of intelligence, offensive security, and large-scale enterprise data infrastructure. Tal-Hochberg previously founded HiredScore, which was acquired by Workday in a deal reportedly valued at $520 million. His co-founders, Or Mattatia and Iddo Israely, bring experience in nation-state cyber defense.
AI Cybersecurity Startup Beacon Bags $13M to Power Autonomous AI Security Agents
The company’s pitch centers on a growing problem inside large organizations. Security teams collect massive amounts of telemetry from cloud services, endpoints, identity systems, and dozens of security tools. AI agents promise to automate much of the analysis, yet those systems depend on accurate, normalized data. Poor data quality can produce unreliable results, making trusted context a prerequisite for autonomous security operations.
Beacon positions its platform between enterprise telemetry sources and downstream security tools. Instead of acting as another detection engine, it focuses on cleaning, enriching, correlating, and organizing security data before it reaches analysts or AI systems. The company says this approach reduces engineering effort and provides security teams with a consistent view across multiple products.
The platform supports AI agents that assist with detection engineering, investigations, posture management, and shadow AI analysis. Beacon says customers can use its built-in agents or develop their own workflows via an open framework that connects to the platform’s contextual data layer.
The startup has already introduced a library of specialized security agents trained for common defensive tasks. According to the company, these agents can identify cross-source attack activity, detect AI-driven threats, and surface attack techniques that traditional security stacks may overlook. Beacon says additional agents focused on alert triage, investigations, and shadow AI are in development.
Customer growth has been one of the company’s strongest early signals. Beacon says it now works with dozens of enterprise customers across financial services, healthcare, hospitality, technology, and other regulated industries. During the first half of 2026, annual recurring revenue increased by more than 300%, reflecting rising demand from organizations looking to prepare their security operations for AI-driven threats.
“We are growing fast, and Beacon lets our security data keep pace,” said Olindo Verillo, Director, Detection and Response, Cerebras. “It gives us the agility to evolve on our own terms, and it has become part of how we run security day to day, increasingly with our agents doing that data work autonomously. Beacon is a core part of how we are building security for what comes next.”
Enterprise security vendors are racing to add AI agents across nearly every part of security operations, from threat detection to incident response. Many of those products rely on existing security infrastructure that was originally built for human analysts rather than autonomous systems. Beacon is betting that the missing piece is a trusted data foundation that gives both people and AI agents the context needed to make reliable decisions.
“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.”
The investment arrives as venture funding continues to flow into startups building infrastructure for enterprise AI. Much of the attention has focused on AI models and developer tools. Beacon is targeting a different layer of the stack, one that determines whether autonomous security agents can operate with accurate information. That thesis has attracted backing from investors and experienced cybersecurity founders, who bet that trusted data will become a core requirement for the next generation of enterprise security.
