Jazz, a cybersecurity startup focused on AI-driven data protection, has emerged from stealth with $61 million in funding across seed and Series A rounds to develop a new approach to data loss prevention (DLP).
The investment was led by Glilot Capital Partners and Team8, with participation from Ten Eleven Ventures, Merlin Ventures, Encoded Ventures and MassMutual Ventures, along with several cybersecurity entrepreneurs.
Founded in 2024 in Tel Aviv, the company is led by CEO and co-founder Ido Livneh along with co-founders Jake Turetsky, Yonatan Zohar and Noam Issachar. With the new capital, Jazz plans to expand its engineering and research teams, strengthen its go-to-market operations and grow its enterprise customer base globally.
Jazz is building a platform designed to rethink how organisations manage data loss prevention. Traditional DLP systems rely heavily on rigid rules designed to prevent sensitive information such as product roadmaps, source code, customer databases or financial documents from leaving an organisation. However, such systems often generate large volumes of alerts, creating operational challenges for security teams.
Jazz’s platform instead focuses on understanding how data is used inside organisations. Its technology analyses user behaviour, data interactions and business processes to determine whether a particular action represents legitimate activity or a potential security risk.
At the centre of the platform is what the company describes as an autonomous “Agentic Investigator”, which analyses the context of data-related events—including the user involved, the data accessed, the system being used and the surrounding business workflow—to identify potential risks more accurately.
The new funding will support further development of the platform as the company seeks to position itself as a next-generation provider of data loss prevention technology.
According to Verizon’s 2025 Data Breach Investigations Report, around 60 percent of data breaches involve a human element, such as mistakes, social engineering attacks or insider misuse. This has led many organisations to struggle with legacy DLP tools that generate excessive alerts while still missing genuine threats.
Jazz said its AI-driven approach aims to reduce alert fatigue for security teams. In one deployment involving a customer with about 5,000 employees, the company reported reducing daily alerts from tens of thousands to around ten pre-investigated incidents. The platform is currently used by organisations including Lemonade, AlphaSense and CAVA.
Commenting on the development, Livneh said traditional DLP systems often force organisations to choose between protecting data and maintaining operational agility. He added that Jazz’s technology is designed to understand intent and context in each incident, helping security teams reduce risk without disrupting business workflows.
