AI-era threats on web applications are escalating. Automated attackers act at machine speed, chain reconnaissance with exploitation, and target the parts of an application that hold sensitive data. Most of this traffic is stopped by a competent WAAP — OWASP coverage, bot scoring, DDoS absorption — and TR7 WAAP does that work. But a small fraction of attacks reaches the application anyway: through stolen credentials, social engineering, supply-chain JavaScript, or sophisticated logic abuse. Once the attacker is on the page, the data is there.
The market answers this in two different ways. Classical DLP products (the Forcepoint / Microsoft Purview category) install endpoint agents that watch files, USB ports and print queues — a useful tool for desktop knowledge work, but the wrong place to stop data leaving through a web application. Cloud-only RBI products isolate browser sessions on someone else's edge — useful, but they pull your sensitive traffic out of your own network.
TR7 takes a third path. Data leakage prevention runs inside the same WAAP that already protects the service — on your hardware, attached to the same vService. Sensitive services pick up extra layers: device-trust signals from endpoint security gate access before a session opens; ZeroLeak isolation renders the application server-side so there is no DOM, no source code and no raw API response on the user's device; anti-OCR rendering resists AI-era screenshot exfiltration; and forensic watermark is woven into every served page so a leak — if one occurs — points back to a session and a user.
These layers are not always-on for every application. They engage where the data is most sensitive. TR7 WAAP remains the foundation; these layers are what makes the WAAP next-generation when the service warrants it.
TR7 WAAP already handles OWASP, API security, bot management, DDoS and content-aware traffic rules across every service. Data leakage prevention adds layers on top — for the services that actually carry sensitive data, not for every static page.
For a sensitive service, TR7's endpoint security layer signals whether the requesting device is known and currently healthy — managed status, compliance state, posture. The access decision incorporates that signal before the application receives a single request from an unverified endpoint.
The ZeroLeak isolation gateway renders the sensitive application server-side and delivers only the rendered output to the browser. The user sees a fully working application; the attacker — or compromised browser process on the client — has no DOM to scrape, no JavaScript source to read, and no raw API response to capture. The attack surface on the client side collapses.
Beyond isolation, sensitive data flows through other paths too. TR7 redacts PII, payment data and credentials in API responses before they reach the client, and monitors third-party JavaScript on your pages to catch supply-chain skimmers that exfiltrate from the browser itself. The vectors classical DLP misses, covered at the WAAP layer.
Every served page carries a forensic watermark that ties the rendering to a specific session, user and timestamp. If sensitive content does end up outside the application — leaked screenshot, copied frame, printed page — investigation can trace it back to where the leak started. Accountability replaces guesswork. For AI-era screen-grab threats specifically, see the AI-Era Protection page.
Every capability below sits on the same platform as your WAAP and ADC. The layers engage where the service needs them.
Mark a vService as sensitive and the extra layers — endpoint gating, ZeroLeak isolation, anti-OCR, watermark — engage for that service. Public, non-sensitive services keep the standard WAAP profile.
Device-trust signals from TR7's endpoint security layer (known device, current posture, compliance state) feed the access decision before the application receives the request. Unknown or out-of-compliance endpoints are blocked, challenged, or routed to a restricted experience per policy.
The sensitive application renders on the TR7 platform; only the rendered visual output reaches the browser. No DOM, no source code, no raw API response delivered to the client. The data the user sees is the only data their machine ever has.
Rendered output is shaped to resist automated OCR and vision language model pipelines. Legitimate users see normal content; AI-era screen-grab tools find recovery unreliable. For the full AI-era threat model — agent classification, scraper detection, AI-era watermark mechanics — see the AI-Era Protection page.
Watermarking is woven into the rendered content — visible or steganographic — tied to session, user identity and timestamp. A leaked screenshot or printed page points back to the source.
Even for services that don't run under full isolation, response-layer masking redacts PII, payment data, credentials and other sensitive patterns per policy before they reach the client. Useful for partial-isolation deployments or for API-only services.
Third-party JavaScript on your pages is monitored at the browser. Unauthorized script changes, suspicious form-data exfiltration patterns and supply-chain skimming attacks surface before customer data is harvested.
Sessions on isolated sensitive services are recorded at a level appropriate for investigation. Combined with the watermark, audit trails support regulatory review without an additional product.
Rate-limit, challenge or block on any traffic attribute — header values, cookie contents, URL parameters, parsed JSON body values. Useful for limiting how much data a single session can request, even before isolation engages.
All of the above attach to the existing vService configuration. One operator console covers ADC delivery, WAAP signals, ZTA access and these data-leakage layers. One audit trail for everything.
Rendering, isolation, masking and watermarking all run on your hardware. No third-party edge in the path of your sensitive data.
Bot floods, scraping attempts and other denied requests against your sensitive services are excluded from the bandwidth meter, like everywhere else on the platform.
A request to a service marked sensitive in TR7 takes a slightly different path through the platform — one that closes off exfiltration avenues before they open.
Before any application logic runs, TR7's endpoint security layer is consulted. Is the device known? Is its posture current? Is it compliant with policy? Unknown or out-of-compliance endpoints don't get a session on the sensitive service at all.
Identity verified through the access management layer (SSO, MFA, OAuth/OIDC/SAML). Continuous trust evaluation watches for context changes during the session — the trust granted at login does not stay granted unconditionally.
OWASP signatures, bot scoring, behavioral analysis, content-aware rules — the full WAAP layer runs as it does everywhere else on the platform. Most attacks never reach the application layer.
For services configured with ZeroLeak isolation, the application is rendered on the TR7 platform. The browser receives the rendered visual output, not the application's DOM or source. There is nothing on the client side to scrape.
The rendered output is shaped to resist AI-era OCR pipelines. Users see normal content; automated screen-grab extraction finds recovery unreliable.
Every rendered page is watermarked — session, user identity, timestamp — woven into the content. If a leak occurs, this is the trace that points back to the source.
Where data flows are not fully isolated, sensitive patterns in responses are masked. Every decision is logged in the same console used to manage the vService and WAAP policy.
Privileged web consoles that operate over sensitive infrastructure. Endpoint health required, application rendered server-side, every admin action watermarked and audited.
Banking back-office, healthcare clinician portals and insurance claim systems where exposure of an unmasked record is a regulatory event. Isolation and response masking work together so sensitive data is never on the client device.
Users on devices you do not directly manage need scoped access. Endpoint signals plus ZeroLeak isolation give them the application they need without giving them the underlying data to copy.
Modern automation captures screens and runs OCR at scale. Anti-OCR rendering makes that pipeline unreliable for sensitive content — humans see it, machines struggle to extract it.
Sensitive content appearing outside the application is the moment forensic watermark earns its place — the leaked artifact points to a session, a user and a timestamp.
Citizen-data services where data residency forbids third-party traffic interception. The on-prem deployment of WAAP plus ZeroLeak isolation keeps every byte inside the citizen-data network.
Capabilities referenced by this solution — the technical pieces that compose the controls described above.
Server-rendered pages with pixel-level modifications — readable on screen for the user, nonsense to OCR engines and AI vision models when extracted as an image.
Run the protected app inside a fully isolated session on the platform — the user sees only the rendered pixels. No HTML, no JavaScript, no cookies on the endpoint.
Letters on the page are silently swapped with visually-similar siblings; the area around the cursor reveals the originals. The human reads naturally — an AI fed a screenshot reads different words.
A visible per-user watermark plus an invisible trace ID embedded into the pixels — when a screenshot leaks, the source can be identified even after cropping, scaling, or being photographed.
Every user session runs in its own isolated browser context — no shared cookies, storage, or process state — with a strict domain allowlist and rendering-level anti-automation defences built in.
Event-driven screenshots at consequential moments, continuous FFmpeg video, word-level keystroke buffer and clipboard logging — every session reconstructable for compliance and investigation.
Mask IP for log privacy, reconstruct the correct client IP across proxy chains.
Mask, replace or inject HTML into response content — without changing a line of backend code.
Hide cookie values from the client — protect session integrity without touching backend code.
Manage FTP not as an open port, but as a command-by-command controlled secure file transfer session.
Mask sensitive data at platform level before it reaches the user or the logs.
Request a live demo of TR7's data leakage prevention. We will walk through a sensitive admin panel: endpoint check, ZeroLeak isolation, anti-OCR rendering and forensic watermark — all running on the same platform as your WAAP.