Upwind raises $450 million to build AI-driven cybersecurity tools

Securing the AI era

Upwind recently announced a $450 million Series C funding round intended to bolster its engineering and product growth. The company is positioning itself to address a shifting landscape where security is no longer just about moving code to the cloud. Instead, the focus is moving toward a broader scope that connects endpoints, code, and cloud environments.

To meet these demands, the company is developing new AI sensors for endpoints and skills scanners. These tools are designed to create a more comprehensive inventory graph of a company's digital assets. By mapping these connections, the company aims to provide a clearer picture of how different parts of an enterprise network interact with one another.

CEO Amiram Shachar noted that the company's strategy is based on the idea that security is now a cloud and AI story. He explained that because AI has a wide reach within enterprise environments, the defense mechanisms must be equally sophisticated. The new funding will allow the company to build the infrastructure necessary to monitor these expansive digital footprints.

The three AI agents

A core part of Upwind's new strategy involves the launch of three distinct categories of AI agents for customers. These agents are designed to automate different parts of the cybersecurity workflow. The first is the "Blue" agent, which is tasked with investigating all log sources and data points to build a single, cohesive story of an attack.

The second agent, known as "Red," focuses on verifying a customer's exposure and their overall attack surface. This helps organizations understand where they are most vulnerable to outside threats. By identifying these weaknesses, the Red agent allows teams to prioritize which areas need the most immediate attention to prevent a breach.

The third agent, "Green," is designed to uncover pressure points within an environment. Its specific goal is to fix and remediate thousands of security findings and resources. By using these three agents together, the company hopes to provide a complete cycle of detection, analysis, and resolution for modern security teams.

Research and innovation

In addition to its new product offerings, Upwind is launching an AI Labs for Cybersecurity. This initiative is intended to provide the necessary environment and infrastructure for researchers to work on complex problems. The goal is to address security issues that are important today while also defining what the industry will need in the future.

The lab aims to give researchers the freedom to explore problems that go beyond immediate fixes. By creating a dedicated space for innovation, the company hopes to stay ahead of the curve as cyber threats evolve. This move reflects a broader trend of companies investing in long-term research to prepare for the next generation of digital risks.

The launch of the lab suggests that Upwind wants to be more than just a software provider. By focusing on research, they aim to influence how the industry handles security at a fundamental level. This proactive approach is meant to help organizations navigate the increasing complexity of modern technology systems.

Rising fraud complexity

The need for these advanced tools is highlighted by a recent PYMNTS Intelligence report on financial fraud. The report found that 78% of financial institutions now view the complexity of new technology systems as their primary barrier to innovation. This figure represents a significant jump from 48% just one year earlier, making it the largest increase among 14 tracked barriers.

While institutions have adopted many tools, the research suggests that stacking overlapping systems has created new operational issues. It is becoming increasingly difficult to isolate fraud to a single checkpoint because systems are so interconnected. Consequently, integration has become a critical priority for banks trying to manage their defenses effectively.

The data also shows a shift in the types of fraud occurring in 2026. Scams where account holders were tricked into initiating payments accounted for 22.4% of fraud dollars, up from 12% in 2025. Additionally, relationship or trust fraud rose to 12.6%, while account takeovers using compromised credentials climbed to 28.2% of fraud dollars.

The path forward

As fraud becomes more personal and technical, the role of AI in defense is becoming essential. Financial institutions are already using machine learning and artificial intelligence in 96% of their operations. However, the challenge remains in making these tools work together seamlessly rather than as isolated silos of data.

Upwind's new funding and product suite aim to address this specific problem by providing integrated AI agents. By focusing on the connection between endpoints and the cloud, they are attempting to simplify the management of complex security environments. This approach seeks to reduce the operational burden on teams who are currently overwhelmed by the sheer number of tools they must monitor.

The next phase for the company will involve scaling these products and refining the research coming out of their new labs. As the industry moves toward 2026, the success of these tools will depend on their ability to provide clear, actionable insights. For the reader, this means a future where AI is not just a threat to be managed, but a primary tool for maintaining digital safety.