Harmonic Security, which uses small language models to inspect employee interactions with AI tools, raised a $50M Series B, taking its total funding to $76M

Employee use of AI tools now has a real-time safeguard and visibility layer, which means companies can more confidently deploy generative AI without immediate risk.

Harmonic Security, a startup focused on overseeing employee interactions with AI tools, has secured $50 million in Series B funding. This latest investment brings the company's total funding to $76 million. Harmonic's platform uses custom small language models to inspect data sent to AI tools in real-time, aiming to prevent issues like the use of personal accounts or the exposure of sensitive information. The company has expanded its reach from browser-based checks to desktop AI applications and agentic workflows. Harmonic also offers a Usage Intelligence layer to help businesses understand the value and risks associated with AI adoption. The company reports over 100 enterprise customers, covering millions of employees, and has established distribution partnerships with Climb Global Solutions and Distology. The new capital will support engineering and go-to-market hiring in the U.S. and U.K. The round was led by Crosspoint Capital Partners, with participation from existing investors.

The substantial Series B funding indicates strong investor confidence in Harmonic Security's approach to AI governance, especially as enterprises grapple with the dual demands of leveraging AI for productivity and mitigating inherent risks. Harmonic's ability to inspect employee interactions with AI tools using specialized small language models, delivering results in milliseconds, addresses a critical gap in real-time security and compliance for rapidly evolving AI deployments. This capability is crucial as AI adoption moves beyond simple chatbots to more complex agentic workflows and integrated enterprise applications, where the potential for data leakage or misuse increases.

Harmonic's integration with platforms like Cisco's Agent Builder and Anthropic's Claude Compliance API highlights a trend toward embedding AI governance directly into existing enterprise ecosystems, rather than treating it as a standalone solution. This strategy allows for more seamless adoption and continuous monitoring. The company's dual focus on security and usage intelligence also signals a maturing market where businesses not only want to control risk but also measure the return on investment from AI initiatives, providing leaders with granular insights into AI's impact on productivity at an individual and team level.