Enterprise AI security firm Bold raises $40m

Bold

Bold has emerged from stealth after securing a $40m funding round to support the launch of its AI-powered security platform.

The funding round brought in $40m from investors including Bessemer Venture Partners, Picture Capital and Red Dot Capital Partners, providing the company with fresh capital as it introduces its technology to the market.

Bold develops endpoint security technology designed to reduce user-related risks across enterprise systems. The company focuses on protecting what it describes as the “last mile” of the enterprise — employee devices that connect internal systems with the outside world. Traditionally, organisations have relied on a mix of legacy tools such as data loss prevention (DLP), insider risk monitoring and application oversight to address these risks. However, many of these systems operate in isolation and struggle to detect threats in real time, particularly as enterprise workflows become increasingly decentralised and AI-driven.

The company’s platform aims to address this challenge by transforming endpoints into active security layers rather than passive risk points. Bold’s technology runs AI models locally on each device, allowing enterprises to monitor behaviour, classify sensitive data and enforce security controls directly on the endpoint. By analysing user actions and contextual information in real time, the platform can identify and intervene when risky activity occurs, such as unauthorised data transfers or attempts to move sensitive information outside the organisation.

Bold plans to use the newly secured funding to accelerate its go-to-market strategy and further develop its edge AI platform. The company intends to expand deployment of its technology across large enterprises and continue refining its models to improve the detection of risky behaviour at the endpoint.

Early customers using the platform have already reported operational benefits, according to the company. Enterprises deploying Bold’s solution have seen alert volumes fall by up to 90%, helping security teams focus on meaningful threats instead of large volumes of false positives. The system operates through a lightweight AI agent installed on each device, which continuously analyses user activity, application behaviour and the movement of data across systems.

Because the technology processes data locally rather than routing it to the cloud, the company says it also addresses growing concerns around privacy and data sovereignty. Sensitive information remains on the device and is stored within infrastructure controlled by the customer rather than external systems.

Bold’s technology is particularly relevant for industries where employees routinely handle large amounts of sensitive information on endpoint devices. These include financial services firms where advisers store client portfolio data on laptops, insurance companies managing claims data across distributed teams, healthcare organisations handling patient records and enterprise software businesses seeking to protect intellectual property.

The company is already working with a number of enterprise clients across the United States, including Shutterfly, Spencer Stuart and Tekion, as it continues to expand adoption of its platform.

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