Investigate and stop data loss

Data leaves through the browser. Employees paste internal documents into AI tools, upload files to unsanctioned apps, and connect AI agents to corporate accounts, often without realizing the risk. And when an attacker takes over an account, they use those same sessions to exfiltrate quietly. Traditional DLP doesn't see inside the session. Push does.

Detect sensitive data being submitted to AI tools and unsanctioned apps
Reconstruct data loss events with full browser session context
Block exfiltration in real time, directly in the browser

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Data loss is a browser problem

File uploads to sanctioned AI tools, pasted credit card numbers, downloads to personal cloud storage — almost every path sensitive data takes out of your organization goes through the browser. Attackers who've compromised an account use the same routes. Traditional DLP sees the network layer, or the endpoint. They don’t see what's happening inside the browser session.

Stop sensitive data from reaching AI tools

AI tools are now one of the most common routes for sensitive data to leave an organization unnoticed. Employees paste credentials, internal documents, and customer data into prompts without understanding the exposure. Push sees exactly what users type, paste, and upload into AI tools in real time — including interactions with shadow AI apps that have never been reviewed or approved. Controls can warn users, require policy acknowledgment, or block the submission entirely before the data reaches the model.

Detect data moving to unsanctioned apps and compromised sessions

Beyond AI, sensitive files and data move through the browser every day — to personal cloud storage, file sharing tools, and shadow SaaS that sits outside security policy. Push surfaces this activity as it happens. The same visibility applies when an attacker is operating inside a compromised session: their exfiltration looks like any other browser session, and Push sees both. Security teams get a clear view of what's moving, where it's going, and whether it should be.

Understand what left and respond

When a potential data loss event surfaces, the critical questions are usually the hardest to answer: what data was involved, who accessed it, and where did it go? Push captures detailed telemetry from inside the browser session, like page loads, data inputs, file interactions, and the full sequence of events that led to exposure. Investigations start from fact rather than fragmented logs.

Frequently asked questions

Browser-based data loss occurs through file uploads to unauthorized apps, clipboard paste into AI tools, and sharing via unsanctioned cloud services. Traditional DLP struggles here. Network DLP requires TLS inspection to see encrypted traffic — which breaks applications and isn't feasible on unmanaged devices. Endpoint DLP monitors file operations at the OS level but has limited visibility into what users do inside browser sessions. CASB provides API-level DLP for sanctioned apps but only covers apps you've integrated with, and can't see real-time user actions like clipboard paste.

Push provides DLP building blocks at the browser layer: file upload/download controls, clipboard telemetry and rules, domain categorization, and app blocking. It's not a full DLP replacement — no content classification or document fingerprinting — but it covers the browser-based vectors that network, endpoint, and CASB DLP miss.

SWGs can block uploads by URL category at the network layer, but they require traffic routing through the proxy (missing BYOD and off-network users) and TLS inspection to see the upload content. CASB API connectors can detect sensitive files already stored in sanctioned apps, but that's post-hoc — the data has already left. Neither approach gives you granular control over which file types go to which apps based on user group.

Push provides file upload blocking at the browser layer — configurable rules based on file type, extension, file name patterns, destination domain or category, browser profile, and user group. Domain categorization covers 89 categories for policies like "block file uploads to personal cloud storage." Upload events are logged and streamed to your SIEM.

Most existing tools have limited visibility here. Network DLP sees traffic to AI domains but can't inspect what users type into prompts or paste from their clipboard. Endpoint DLP doesn't monitor browser session-level input. CASB can block access to AI apps at the network level but can't distinguish between a benign query and someone pasting source code. Blocking AI entirely is increasingly impractical as teams adopt it for legitimate work.

Push provides granular AI visibility: which AI tools are in use (including shadow AI), what data users share with them (prompts, pasted content, file uploads), and which AI agents have been granted OAuth access to corporate data. Clipboard telemetry with regex-based rules flags sensitive data patterns being pasted into AI tools. For unauthorized tools, Push can block access; for approved tools, it monitors data flow without disrupting usage.

Data loss prevention controls operating inside the browser — monitoring and controlling file uploads, downloads, clipboard activity, and application access at the point where users interact with web applications and cloud services.

Push provides browser DLP building blocks: file upload/download controls, clipboard telemetry and rules, domain categorization with blocking, and application access controls. These are building blocks rather than a full DLP platform — covering the most critical browser-based vectors.

Network DLP operates at the proxy/gateway layer, inspecting traffic. Browser DLP operates inside the browser session, seeing user-level actions — file uploads, clipboard operations, app interactions. Network DLP requires TLS inspection to see encrypted traffic; browser DLP sees activity before encryption.

Network DLP is stronger at content classification. Browser DLP is stronger at user-level context: which user uploaded a file, to which app, what they pasted. The two are complementary. See how Push complements network security.

Clipboard is a major blind spot for most security tools. Network DLP can't see copy-paste between browser tabs. Endpoint DLP can sometimes monitor clipboard at the OS level, but not on unmanaged devices where the agent isn't installed. CASB has no clipboard visibility at all. The result is that data flowing between applications via copy-paste — especially into AI tools — is invisible to the traditional DLP stack.

Push provides clipboard telemetry with configurable regex-based rules — flagging API keys, credit card numbers, PII, source code, or custom patterns. When a match is detected, Push can log, alert, or block. Clipboard blocking is scoped to malicious actions (ClickFix payloads, malicious commands) rather than blanket restriction — for DLP, the telemetry provides visibility into data flow between applications without disrupting normal work.

Traditional investigation tools have gaps here. EDR shows endpoint-level process and file activity but can't reconstruct what a user did inside a browser session. CASB audit logs show application-level events via API but miss real-time user actions like clipboard paste or navigation between apps. SIEM correlates across sources but depends on what telemetry those sources provide — and browser session activity is typically absent.

Push provides user and session timelines that reconstruct browser activity — page loads, file uploads, file downloads, clipboard events, and application interactions. This traces exactly what a user did during an incident, filling the gap between endpoint and application-layer forensics.

Not necessarily. If your primary concern is browser-based data loss — file uploads to unauthorized apps, data pasted into AI tools, access to unsanctioned cloud services — Push's DLP building blocks may be sufficient. For comprehensive DLP across all channels (email, endpoint, network, cloud API), a dedicated DLP product is appropriate.

Push complements full DLP products by providing browser-layer controls that DLP platforms typically lack.

SWGs can block uploads by destination URL, but require traffic routing through the proxy and TLS inspection — which limits coverage on unmanaged devices and breaks some applications. CASB can restrict uploads to sanctioned apps via API but doesn't cover the long tail of unsanctioned sites.

Push's file upload blocking lets you create rules based on destination domain, domain category, file type, extension, file name, file name patterns, browser profile, and user group. Policies are enforced at the browser layer before the upload completes, work on any device with the extension installed, and all events are logged.

Three categories. Direct input: employees pasting sensitive data into AI tools. File uploads: uploading documents to AI platforms. OAuth integrations: AI agents granted persistent API access to corporate data, where data flow continues autonomously after authorization.

Push addresses all three: clipboard and file upload monitoring for direct input, AI app discovery and blocking for unauthorized tools, and OAuth consent monitoring for AI agent permissions. Read about shadow AI risks.

Network-level blocking (via SWG or firewall) can restrict access to AI domains entirely, but that's increasingly impractical as AI becomes a legitimate productivity tool — and it doesn't help when you want to allow usage while monitoring what data goes in. Endpoint DLP doesn't have visibility into what users type or paste inside browser sessions. CASB can block AI app access at the network layer but can't distinguish between safe and risky usage of approved tools.

Effective AI DLP requires three layers: clipboard monitoring with regex-based rules to flag sensitive data patterns (source code, API keys, PII) being pasted into AI tools, file upload blocking to prevent document uploads to unauthorized AI applications, and application-level controls to block unsanctioned AI tools entirely. Push provides all three at the browser layer. For approved AI tools, Push monitors what data flows into them without blocking. For unauthorized tools, Push can block access completely.

Security controls that detect and prevent unauthorized transmission of sensitive data — through email, file transfers, clipboard operations, cloud uploads, or API access. Traditional DLP operates at the network (inspecting traffic), endpoint (monitoring file operations), and cloud API (auditing SaaS configurations) layers.

Browser-based data loss is a growing gap because users interact with SaaS applications and AI tools directly in the browser, often on unmanaged devices where endpoint DLP isn't installed. Push provides browser-layer DLP building blocks — file upload/download controls, clipboard monitoring with regex-based rules, domain categorization, and application blocking — covering the browser-based vectors that traditional DLP misses. Read about browser-based data protection.