Agentic operations platform startup Surf AI Ltd. launched today with announcement that it has raised $57 million in funding to support continued investment in product development, team expansion and scaling for additional enterprise adoption.

Founded in 2024, Surf AI is developing software designed to help enterprise security teams manage risk across complex environments that span cloud infrastructure, identity systems, applications and internal business platforms.

The company is seeking to address the issue whereby security operations in many organizations rely on multiple specialized tools that generate alerts and findings but often leave remediation fragmented across different teams. Surf AI’s platform addresses the issue through a unified operational layer that aggregates signals from security, identity, data and information technology systems before mapping them to business contexts such as asset ownership, permissions and dependencies.

“We built Surf AI because we believe modern security teams deserve tools and systems that work as hard as they do,” said co-founder and Chief Executive Yair Grindlinger. “Our platform empowers teams to monitor continuously and act decisively, even as data environments grow more complex.”

Surf AI’s platform works by ingesting data from enterprise systems such as identity providers, cloud services, security monitoring tools, human resources platforms and IT management systems to build a contextual graph that connects assets, users, roles and infrastructure components. Artificial intelligence agents then analyze the combined dataset to identify exposure conditions and correlate them with operational context, while the platform maintains records of relationships between systems, users and resources to guide remediation activity.

The company’s software coordinates security workflows by assigning tasks to specialized AI agents that can trigger actions or propose remediation steps based on defined policies. The system prioritizes issues according to factors such as asset criticality, permissions and business ownership, then executes or recommends operational tasks such as disabling unused accounts, addressing certificate management issues or adjusting access controls.

Humans are not excluded from the loop and remain responsible for oversight and approvals, with the platform tracking activity so that work can continue without restarting analysis or recreating task context.

Surf AI’s offering is designed for organizations that operate large numbers of software-as-a-service applications, identity systems and cloud services, where security responsibilities are often distributed across multiple internal teams. In these environments, the platform functions as an execution layer that connects findings generated by existing security tools with operational workflows required to address them.

In early deployments, the platform has taken on tasks such as reducing unused software licenses, enforcing identity governance policies and resolving configuration risks that arise from dormant or orphaned accounts.

The combined seed and Series A funding rounds were led by Accel Partners LP, with Cyberstarts and Boldstart Ventures also participating.

“AI is dramatically increasing the speed and sophistication of attackers, and security teams need fundamentally new operating models to keep up,” said Phillipe Botteri, a partner at Accel. “The Surf AI team is building an agentic platform to significantly enhance the productivity of security teams and make their organization resilient to this new threat landscape.”

Image: Surf AI