Upwind Raises $450 Million for AI and Cloud Security

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Cloud and artificial intelligence security platform Upwind has raised $450 million in new funding. The company’s Series C round will allow Upwind to strengthen its product and engineering growth, Co-Founder and CEO Amiram Shachar wrote in a Wednesday (Oct. 28…

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Upwind Raises $450 Million for AI and Cloud Security By PYMNTS | October 28, 2026 | funding

Cloud and artificial intelligence security platform Upwind has raised $450 million in new funding.

The company’s Series C round will allow Upwind to strengthen its product and engineering growth, Co-Founder and CEO Amiram Shachar wrote in a Wednesday (Oct. 28) blog post.

“Security is a cloud and AI story now,” the post said. “AI has a long reach within the enterprise environment, so we’re building AI sensors for endpoints, agents and skills scanners and are reinventing our inventory graph. It’s not about code to cloud anymore, it’s about endpoint to code to cloud.”

“We also need to use AI to respond to AI,” Shachar added, pointing to Upwind’s three categories of AI agents for customers.

“Blue” investigates “all log sources and data points to build a single attack story,” the “Red” agent verifies customers’ “exposure and attack surface” and “Green” which uncovers the “pressure points in your environment that can fix and remediate thousands of security findings and resources,” per the blog post.

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The company has also launched its AI Labs for Cybersecurity, designed to offer “the environment, infrastructure, and freedom to work on security problems that are not only important today, but will define what the industry needs into the future,” Shachar wrote.

In other cybersecurity news, the PYMNTS Intelligence report “Scams Get Personal: Why Banks Pay More to Fight Fraud” found last month that 78% of financial institutions said the complexity of new tech systems was their chief barrier to innovation.

That figure was up from 48% a year earlier, representing the biggest increase among the 14 barriers tracked in the report.

“The finding came after years of adding tools designed to identify suspicious customers, devices and transactions,” PYMNTS wrote recently.

“Behavioral analytics, device fingerprinting and enhanced knowledge-based authentication reached 100% adoption among surveyed institutions in 2026. Machine learning and artificial intelligence were used by 96%, as were rules-based algorithms.”

But adding another detection capability doesn’t always mean improving the overall defense. The research showed that institutions were stacking overlapping systems, making the links among those systems an increasing operational issue. And integration has grown in importance as it becomes tougher to isolate fraud to a single checkpoint.

The data showed that scams in which the account holder was duped into initiating a payment accounted for 22.4% of fraud dollars in 2026, compared to 12% in 2025. Relationship or trust fraud jumped from 6% to 12.6%, while account takeover using compromised credentials climbed to 28.2% of fraud dollars.

Upwind Raises $450 Million for AI and Cloud Security

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