Surf AI

Surf AI is a security-first, agentic remediation platform built around the Context Graph: a continuously updated map of every entity, relationship, owner, and policy in your environment. The hardest problem in security is no longer detection. It is the operational gap between a finding and a fix, where the context needed to act is scattered across identity, cloud, HR, code, and ITSM systems. That gap forces manual triage and ownership hunts while backlogs grow beyond what teams can clear.

Modern security programs are very good at producing findings. Scanners, posture tools, and detection systems surface more issues every day than any team can reasonably work through. The bottleneck has shifted downstream, into the slow manual work of figuring out what each finding actually means, who is responsible for the affected resource, whether fixing it will break something else, and how to drive the change to completion across teams that do not share tools or priorities. Most of that effort never appears on a dashboard. It lives in tickets that bounce between owners, threads that go cold, and findings that stay open in production simply because no one could establish who should act.

The Context Graph exists to close that gap. It continuously ingests signal from across the environment and resolves the relationships that connect a finding to the people and systems that can fix it. Instead of treating an alert as an isolated record, Surf understands the resource behind it, the identities and teams with authority over that resource, the code and infrastructure it depends on, and the policies that govern any change. Ownership stops being a manual investigation and becomes something the platform already knows.

From there, Surf orchestrates remediation end to end. It ingests findings from any security tool you already run, resolves the right owner, and models blast radius before any change is made so that fixes do not introduce new risk. It applies compliance and policy guardrails automatically, routes work through the systems where teams actually operate, and tracks every action through to closure with a complete audit trail. Agents handle the repetitive coordination and context-gathering that used to consume analyst hours, while people stay in control of the decisions that genuinely require judgment.

Surf is built to work alongside the stack security teams already trust rather than replace it. It connects to existing detection, identity, cloud, code, and workflow systems, so adoption does not require ripping anything out or re-platforming a program that already works. The intelligence comes from the Context Graph and the agents that reason over it, which means the same operational understanding applies whether a finding originates in cloud posture, identity, application security, or anywhere else risk shows up.

The result is a backlog that shrinks instead of compounding. Every finding gets an owner, a safe path to resolution, and verifiable proof that it was fixed. Security teams move from chasing context to clearing work, and remediation finally scales with the organization rather than against it. Surf turns a growing pile of findings into a closing loop, giving security and engineering teams a shared, accountable system for getting risk out of production and keeping it out.