Surf AI now integrates with Cyera

Surf AI now integrates with Cyera to bring organizational context and agentic remediation to discovered data risk.

Enterprise environments are complex, and they do not get simpler over time. Sensitive data spreads across cloud infrastructure, SaaS applications, and unstructured stores. Access is granted to people, and to the services and automations that keep the business running, and it rarely gets cleaned up afterward. Data security platforms like Cyera surface sensitive data risks across the environment continuously and at scale: over-permissioned data stores, exposed PII, and policy violations. The finding makes the risk clear. 

Surf AI was built to operationalize security in exactly this kind of environment: to turn findings into resolved risks without forcing teams into manual triage every time something needs fixing. Acting on it safely is a separate problem, and in a complex enterprise, it is where SurfAI is a game-changer.

From open data risk findings to resolved ones

When a sensitive data exposure surfaces, acting on it safely means answering questions built from additional organizational context. Who owns the affected data store? Which production workflows read from it? Will restricting access accidentally break something that runs on a schedule? Does the change need a compliance window or a privacy officer's sign-off? Is the person listed as the owner still on the team and in a position to respond?

That context lives across identity, HR, cloud, ITSM, code, and collaboration systems, and today it gets assembled by hand. An analyst opens a ticket, chases owners through distribution lists, and waits for compliance to confirm the scope before anyone is comfortable touching an access policy. While that happens, the exposure stays open, and every new scan adds to the queue. What accumulates is a growing backlog of known, high-severity data risk that no one disputes and no one has the context to safely close.

Cyera and Surf AI: from finding to safe resolution

This is the challenge Surf AI and Cyera solve together. Cyera brings continuous discovery and classification of sensitive data risk. Surf AI brings the organizational context and agentic execution to act on it safely and at scale.

Cyera issues, including over-permissioned data stores, sensitive data exposures, policy violations, and unprotected PII, flow into Surf AI's Context Graph, a continuously updated, normalized map of every entity, relationship, ownership assignment, and policy in a customer's environment. The moment a finding arrives, the Context Graph enriches it with the cross-system context needed to act: who owns the affected data asset, who last modified it, which team owns the underlying service, what depends on it, whether access patterns are consistent with the owner's current role, what compliance requirements apply, and what the blast radius of any remediation action would be. That same context separates findings that reflect intentional design from those caused by silent misconfiguration, so teams act on real exposure rather than expected behavior.

With that picture assembled, Surf routes a safe path to resolution to the right owner, executes the approved change, and records the action with a complete audit trail. Rather than end with a finding, the finding becomes the starting point.

What this looks like in practice

For sensitive data exposures, the Context Graph identifies the data asset owner, maps every identity with active access to it, and models the downstream impact of restricting access to it. If the change is safe, Surf routes a one-click approval to the owner and executes on sign-off. If active dependencies exist, it models an alternative path and routes it with the full blast radius attached, so access is never restricted blindly.

For findings that fall under regulations such as GDPR, CCPA, and HIPAA, the Context Graph automatically applies the compliance scope, determines the required action and the correct approval path, and executes with full policy awareness. Every action is documented with a timestamped audit record mapped to the applicable control, so privacy teams can demonstrate continuous compliance rather than point-in-time snapshots.

For data stores with no documented owner, the shadow and abandoned assets that governance processes miss, the Context Graph validates true status before anything is touched. It cross-references signals across cloud, code, and collaboration history to identify the most likely owner or the responsible team. Confirmed-abandoned assets move to a decommission workflow. Ambiguous ones get an ownership challenge with a phased path: restrict access, confirm no impact, then remove.

From continuous discovery to continuous resolution

Data security has spent years getting good at finding risk. The next step is to close it safely, without turning every exposure into another line in the backlog. Together, Cyera and Surf AI let teams move from continuous discovery to continuous, safe enforcement, so sensitive data risk gets resolved instead of just recorded.