Upwind
Monitor live cloud workloads to identify security risks.
Upwind Security Funding History
Upwind Security uses data from running cloud workloads to detect, prioritize and address vulnerabilities and attacks. Its platform also covers AI applications and agents.
Company Overview
Upwind Security
Founded 2022 · San Francisco, California, US
Official WebsiteUpwind Security Funding Timeline
Series C
US$400 million
Upwind said it would use the financing to develop its cloud and AI security platform.
Led by Bessemer.
Source · upwind.io ↗Series B
US$250 million
Upwind said the round brought cumulative funding to more than $430 million as it expanded its runtime cloud security platform.
Led by Bessemer. Participation included Craft Ventures, Cyberstarts, Greylock, TCV.
Source · en.globes.co.il ↗Series A
US$100 million
Upwind planned to use the round to expand globally and develop cloud-security products that use runtime data.
Led by Craft Ventures. Participation included TCV, Greylock, Cyberstarts.
Source · calcalistech.com ↗Launch Round
US$50 million
Upwind said the financing followed an earlier $30 million seed and brought the company’s cumulative funding to $80 million.
Led by Greylock, Cyberstarts.
Source · siliconangle.com ↗Seed
US$28 million
Greylock said its early investment backed Upwind’s approach to monitoring cloud infrastructure while workloads are running.
Led by Greylock, Cyberstarts.
Source · greylock.com ↗
Upwind Security Founding Team
Upwind Security’s founders include former colleagues from Spot.io. At Upwind they built a cloud security product that uses information from running workloads. The founding team included Liran Polak and Lavi Ferdman.
- Amiram Shachar — CEO. Previously co-founded Spot.io (acquired by NetApp).
- Tal Zuri — CTO. Previously at Spot.io.
Upwind Security Products
Upwind Security Company Development
Cloud Runtime Signals for AI Workloads
Upwind built its cloud security platform around telemetry from running workloads. Its AI security expansion applies that approach to another set of deployed components, including agents and the cloud resources they use.
Upwind Security Competitive Landscape
Live Workloads and the AI Supply Chain
Upwind uses activity from live cloud workloads to prioritize exposure. Protect AI's ModelScan addresses the earlier problem of inspecting a model file. Those approaches catch different issues even when the same application is involved.
