SURF Security Zero Trust Enterprise Browser

Enforces per-application policies on clipboard copy, file download, printing, and screenshot within browser sessions, applied at the application level without endpoint agent requirements.

Restricts browser extension installation to an approved list, preventing credential-harvesting, session-hijacking, and keylogger extensions from running within managed browser sessions.

Governs how employees use GenAI tools in the browser, restricting which AI sites are allowed and preventing sensitive data from being pasted or uploaded into chatbots and AI assistants.

Detects and inventories SaaS apps accessed through the browser that are not sanctioned or registered with the IdP, surfacing unmanaged app usage for IT governance and access control decisions.

Secures application access from unmanaged personal and contractor devices without MDM enrollment or an endpoint agent, enforcing data controls inside the browser session rather than on the device.

Provides clientless access to internal web applications through a reverse proxy or embedded ZTNA client, replacing VPN for web application access.

Protects web browsing with malware protection and URL filtering.

Hardens the browser by restricting unauthorized JavaScript execution, disabling risky functionality such as developer tools, and protecting session tokens and cookies.

Records and stores browser sessions for configured applications for audit, compliance, and insider threat investigation purposes.

Discovers and categorizes the organization's use of third-party AI, whether consumed as a service, installed locally, or embedded inside other applications, building a continuously updated inventory of AI usage including shadow AI.

Defines organizational AI usage policies and enforces them at the point of use - allowing, blocking, redirecting, or constraining specific AI services, models, and features per user, group, or data context.

Inspects prompts, uploads, and AI-generated responses for sensitive data across modalities, preventing exposure of regulated or proprietary information to third-party AI services.

Assesses and scores the risk of discovered AI services and embedded AI features (data handling, training-use terms, hosting, vendor posture) to drive sanction/block decisions.

Detects anomalous AI usage patterns - unusual volumes, off-policy services, atypical data flows to AI endpoints - and alerts on potential misuse or exfiltration through AI channels.