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Code AssistantsFree; Pro $15-$20/mo; Teams $30-$40/user/mo; Enterprise $60+/user/mowindsurf.com

Windsurf

Windsurf (formerly Codeium) is an AI-native IDE with Cascade agent that autonomously edits, runs, and refactors multi-file codebases with SOC 2 Type II and FedRAMP High.

Risk score

4/10Medium

Assessment across data handling, compliance, security and transparency.

Overview

Windsurf is an agentic IDE built around Cascade, an AI agent that reads, edits, and executes across a full codebase rather than just completing lines. It ships with SWE-1.5 and third-party frontier models, supports MCP tools, and competes directly with Cursor for developer mindshare. Windsurf differentiates on security posture: SOC 2 Type II, FedRAMP High, HIPAA-aligned, and zero-data-retention by default for teams and enterprise. Code is never used to train models, and hybrid and self-hosted deployments are available. The core risk profile mirrors any agentic IDE — autonomous code edits, command execution, MCP tool use, and the long-standing challenge of keeping secrets and proprietary code out of third-party inference providers.

Risk factors

3
  • Cloud-based IDE with potential data handling risks.
  • User code may be used for training without clear opt-out.
  • Focus on multi-file codebases increases data exposure.

Recommendations

8
  • Deploy Teams or Enterprise plan to enforce zero-data-retention by default
  • Prohibit individual free accounts for company code; require SSO-enrolled seats
  • Use hybrid or self-hosted deployment for regulated or IP-sensitive codebases
  • Keep .env and secrets out of workspace; use a secret manager with scoped tokens
  • Review MCP tool allow-lists centrally; block arbitrary tool installation
  • Require human review for Cascade multi-file commits before merge
  • Run SAST and license scanning on AI-generated code
  • Log and audit agent sessions on sensitive repos

Data handling

Storage
Cloud (AWS) by default; hybrid (customer-managed retention) and self-hosted options available
Retention
Zero-data retention is default for Teams and Enterprise; code is not persisted on Windsurf or subprocessor servers in ZDR mode
Training on inputs
Customer code is never used to train Windsurf models; ZDR agreements extend to OpenAI, Anthropic, Google Vertex, xAI subprocessors

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