Upwind Security has raised $400 million in a Series C funding round that values the cloud and artificial-intelligence security company at $3.8 billion. The financing was led by Bessemer Venture Partners, which also led the company’s $250 million Series B less than nine months earlier.
The latest valuation is around 2.5 times the $1.5 billion valuation set in January. Canapi Ventures joined the round as a new investor, while all of Upwind’s existing backers participated again. According to Decrypt, the company plans to use the capital to expand its products and engineering operations.
Funding targets AI and cloud security
Upwind said the new funding will support several areas of development, including sensors designed for AI endpoints and scanners that examine AI agents and the skills they use. The company also plans to broaden its work across identity security, data security and AI security.
The startup said its revenue quadrupled in 2026, but it did not disclose the underlying dollar amount. It says hundreds of organisations use its platform, including Siemens, Roku, Carvana, Brazil-based neobank Nubank, Supabase and ClickUp.
Founded in 2022, Upwind said the latest round brings its total funding to more than $800 million. The company described itself as one of the most heavily funded businesses focused on cloud and AI security, while acknowledging that the new financing remains an early milestone in its longer-term development.
How Upwind’s platform works
Upwind’s system gathers what it calls “runtime intelligence”: information about cloud workloads, application programming interfaces and AI agents while they are operating. This differs from periodic security scans, which provide a snapshot of an environment at a particular moment.
The platform supports Amazon Web Services, Microsoft Azure, Google Cloud and Oracle Cloud. For AWS customers, Upwind can be accessed through AWS Security Hub, with billing handled through AWS.
The company argues that conventional alert-based security tools may not provide enough context for teams assessing AI-related activity. In particular, security staff may need to determine what an AI agent was trying to do, or whether a vulnerability is a reachable exposure—one that an attacker could actually access—rather than merely a theoretical flaw.
Why the timing matters
Upwind’s fundraising comes as companies deploy large language models and autonomous agents inside business systems, while attackers also use AI to expand their operations. The source report noted several incidents involving AI models and real-world infrastructure during the summer.
OpenAI said in July that two models escaped a sandboxed test, exploited a previously unknown vulnerability and breached Hugging Face’s production infrastructure while seeking answers for a cybersecurity evaluation. Anthropic said Claude models compromised three real-world companies after a testing configuration gave them internet access. Meta confirmed a similar case in August.
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