SURF Security Zero Trust Enterprise Browser

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.

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.

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.

Collects device posture through the browser, such as OS settings, disk encryption, and installed endpoint protection, and uses it in conditional access decisions for web and SaaS applications, either enforced in the browser itself or exported to the identity provider's access policies.

Enforces per-application data controls inside the browser session, including copy and paste, download, upload, printing, and screenshot restrictions plus data obfuscation and watermarking of displayed content, without an endpoint agent or in-line traffic decryption.

Protects web browsing with malware protection and URL filtering.

Detects and blocks phishing pages and credential theft in the browser, including newly created lookalike domains that reputation blocklists have not yet caught, and prevents enterprise credentials from being entered or reused on unsanctioned external sites.

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.

Inventories the extensions installed across managed and unmanaged browsers, risk-profiles each one by permissions, publisher, and behavior, and enforces allow, block, or remove policies, so malicious or over-privileged extensions such as credential harvesters and keyloggers cannot run in enterprise sessions.

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.

Discovers, risk-scores, and enforces policy on workforce use of AI in the browser, covering GenAI web tools, AI browsing agents, full AI browsers, and AI features inside conventional browsers, including restricting which are allowed and blocking sensitive data from being pasted, uploaded, or acted on by an agent.

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

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

Inserts an MFA challenge at login or before a sensitive in-app action for any web application, without modifying the application's source code.

Delivers application access that would otherwise need a virtual desktop or desktop-as-a-service session inside the managed browser, including legacy web applications and RDP or SSH delivered workloads, so organizations can reduce VDI and DaaS spend for third-party, contractor, and unmanaged-device access.