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Surf

Surf AI offers a security orchestration platform that aggregates identity, access, and configuration data from multiple enterprise systems into a unified risk graph. The AI-driven engine automatically scores exposures, maps them to owners, and executes remediation playbooks across cloud, on‑prem, and SaaS environments without manual tickets. Real‑time dashboards and APIs provide visibility and auditability for security, compliance, and risk teams.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Enterprises often manage security and identity data across a fragmented landscape of tools, resulting in incomplete context, manual ticket routing, and delayed remediation of exposures. This disjointed workflow inflates mean time to resolution and forces security teams to spend disproportionate effort on coordination rather than strategic risk reduction.

Solution

Surf AI provides a unified security orchestration platform that continuously ingests identity, access, and configuration data from heterogeneous enterprise systems. By normalizing this data into a single context graph, the platform automatically maps each risk to its true owner and triggers predefined remediation playbooks without human ticket creation. An AI‑driven prioritization engine ranks exposures based on impact and compliance relevance, enabling security operations to focus on high‑value actions. Remediation actions are executed programmatically across cloud, on‑prem, and SaaS environments, delivering end‑to‑end resolution from discovery to fix. Real‑time dashboards and API hooks give security leaders visibility into risk trends, ROI, and compliance posture while the underlying workflow remains fully auditable and role‑based.

Target Audience

Surf AI is designed for security operations centers, identity and access management teams, and risk/compliance officers in mid‑size to large enterprises seeking to automate continuous security remediation at scale.

Features

  • Cross‑system data connectors that ingest identity, access, and configuration signals from IAM, AD, M365, cloud platforms, and SaaS applications into a unified risk graph
  • AI‑powered risk scoring engine that quantifies exposure impact and suggests optimal remediation pathways
  • Automated remediation playbooks that execute account deprovisioning, permission revocation, MFA enforcement, and resource cleanup without manual tickets
  • Ownership mapping layer that attributes each finding to the responsible team or individual, enabling direct accountability
  • No‑code workflow designer and RESTful API for custom integration with existing SOAR, ticketing, and CI/CD pipelines
  • Real‑time compliance reporting and audit trail that captures remediation actions for regulatory review
  • Role‑based access control and end‑to‑end encryption to ensure data privacy and secure operation across enterprise boundaries
This profile is AI-generated and may contain inaccuracies.