Windsurf and Sourcegraph Cody occupy overlapping but distinct corners of the enterprise AI coding market. Windsurf leans toward agentic IDE workflows with tight editor integration. Cody leans toward code-graph-aware retrieval at repository scale. Both ship enterprise SKUs with self-hosted options, SSO, and audit logging. Security teams evaluating them usually ask the same four questions, and the honest answers differ in ways that matter for the procurement decision.
This comparison is based on 2026.02 release notes for both products and a dozen enterprise deployments we have reviewed in the past six months. We focus on the security surfaces that drive approval or rejection: data handling, agent scope, deployment topology, and the depth of enterprise controls. We will not call a winner, because the right choice depends on your constraints. We will try to make the trade-offs legible.
How do they handle source code in transit and at rest?
They handle source code differently at the indexing layer, and that is the most consequential difference. Cody builds a server-side code graph that indexes every repository, complete with symbol relationships and precise references. Windsurf builds a lighter per-workspace index and relies more on retrieval-at-inference against the open files. For on-prem deployments this means Cody needs a bigger storage and compute footprint, and Windsurf's footprint is smaller but its retrieval quality is more sensitive to what the developer has open.
In transit, both use TLS, both support BYOK for the underlying model, and both offer tenant-level controls to disable training usage. Cody's self-hosted offering runs entirely in your VPC and never phones home for completions when configured for air-gapped mode. Windsurf's on-prem offering still routes model inference through a managed endpoint unless you configure a self-hosted inference stack, which is supported but operationally heavier.
How does agent scope differ?
Agent scope differs primarily in default blast radius. Windsurf's Cascade agent has a broader default reach: multi-file edits, terminal access, and long-running tasks are the core product. Cody's agentic features are more conservative by default, with explicit opt-in for shell execution and multi-file edits. Neither is inherently safer; the difference is how much configuration work you have to do to reach your target posture.
A concrete example: in a January 2026 engagement with a fintech customer, we found that Windsurf agents had shell access enabled in 47 of 52 developer workstations, while Cody agents had shell access enabled in 6 of 58. Neither default was the direct cause of an incident, but the Windsurf footprint required a much more aggressive allowlist program to bring under control. If your organization cannot invest in that program, the more conservative default is the safer starting point.
What about the deployment topology for regulated industries?
Deployment topology is where Cody has a meaningful lead for regulated industries. The fully self-hosted deployment, including the code graph, inference proxy, and embeddings service, has been in production at financial services and government customers for over a year and has well-documented FIPS, FedRAMP Moderate, and SOC 2 postures. Windsurf's self-hosted SKU is newer and currently supports SOC 2 and ISO 27001, with FedRAMP work in progress at the time of writing.
For a healthcare or public-sector customer that needs a fully air-gapped deployment today, Cody is usually the default answer. For a technology company with a modern cloud posture and no hard residency requirement, Windsurf's managed offering reduces operational burden without giving up meaningful security.
How deep are the enterprise controls?
Enterprise controls go deeper on Cody for repository-level policy and deeper on Windsurf for per-developer agent policy. Cody exposes repository-scoped access controls that mirror the SSO group structure, so a developer who cannot see a repository in Sourcegraph cannot retrieve its code through Cody. Windsurf exposes per-developer agent policies that cap tool use, file access, and command execution, which is closer to what a typical security team wants once agents are doing real work.
Both support SCIM, SAML, tenant-level audit log export, and DLP hooks. Both integrate with common SIEMs. The gap is in incident response tooling: Cody's admin console surfaces detailed session traces that make investigation straightforward, while Windsurf's equivalent view is less mature and often requires log correlation at the SIEM.
Where does prompt injection risk differ?
Prompt injection risk is comparable at the model layer and differs at the tooling layer. Both products route untrusted content, code comments, READMEs, issue text, through the same context window as user instructions, and neither has a magic bullet. The difference is how easily an injection can escalate into action. Windsurf's broader default tool surface means an injection has more paths to consequence. Cody's narrower default tool surface means injections tend to be noisier and easier to detect in traces.
Either way, the mitigation is the same: require human approval for mutating actions, run a classifier over tool outputs before they reach the model, and monitor the ratio of agent-produced changes to human-reviewed changes in your CI metrics.
How Safeguard Helps
Safeguard makes the Windsurf-versus-Cody decision easier by giving you a uniform security view across both tools. We ingest agent activity from either product, run reachability analysis on dependencies they introduce, and score supplier risk through the TPRM module so every new package is evaluated consistently. Griffin AI reviews agent pull requests for injection patterns and secret exposure regardless of which IDE produced them. SBOM generation tags every build with the originating agent, and policy gates in CI enforce your bar before a merge ships. Whichever tool you choose, Safeguard gives you the auditability and control to run it at enterprise scale.