Media & Streaming Fraud & Abuse Prevention
Fraud prevention for media.
Grow paid subscriptions.
Repeated free access, shared credentials and bots weaken subscription value. ShieldLabs recognizes returning visitors and detects account abuse to help protect metered content, paid access and trusted subscriber journeys.
Start FreeYour subscription
Manage premium access.
VPNProxy
Preserve content allowances
Keep a fresh browser session from restarting free access.
Protect subscription value
Keep shared credentials from replacing paid memberships.
Keep content access reliable
Stop scripted requests from consuming web capacity.
Welcome paid subscribers
Support familiar, trusted customer access.
Metered content
Recognize the returning reader.
Preserve the free allowance.
ShieldLabs recognizes returning visitors across sessions, cleared cookies and IP changes. Your publishing system can preserve its reading allowance instead of starting it again.
Subscriber account sharing
Protect paid memberships.
Set access limits that fit.
ShieldLabs detects account sharing around subscription use. Filter detected account sharing in the dashboard by device count to investigate media access.
Automated content access
Detect content bots.
Protect web capacity.
ShieldLabs detects browser bots reaching article and content interfaces. Help stop scripted scraping from consuming web capacity while recognizing legitimate search crawlers.
Expose disguised requests
Detect proxies and anti-detect browsers around media content-access workflows.
Find risky acquisition sources
See the channels, referrers and campaigns bringing automated traffic to your media content-access workflows.
The ShieldLabs platform
More than one fraud check.
Protect your entire product.
Connect identification, device and network intelligence, bots, named risk signals and ready-made account abuse detections. Traffic quality analytics gives the sources behind risky activity.
Enterprise-level functionality. Without enterprise pricing.
Accurate identification
Recognize returning visitors even when they clear cookies, use incognito mode or change their IP address. Detect linked users with different email addresses.
Identification accuracy
High-Risk Event detection
Detect account abuse out of the box by automatically identifying linked users. No fraud model training is required.
Risk signals
Get ready-made detections of automation, masking and spoofing, with named risk signals behind each result.
Bot & AI traffic detection
Detect bot activity from browser automation signals. Recognize useful crawler and AI traffic alongside abuse detections.
Risk scoring
Score every visit from 0 to 100 and classify it as trusted, suspicious or dangerous. See the signals behind each score.
Device fingerprinting
Recognize devices by their fingerprints. Identify the browser, operating system and device type. Detect headless browsers and tampering.
IP & Network Intelligence
Reveal the real IP address and geolocation behind masking. Detect VPNs, proxies and private relays.
203.0.113.42198.51.100.23Traffic quality scoring and risk analytics
Get one score for all your traffic and ready-made quality results by source, channel, referrer and UTM campaign.
Analytics dashboard
Find risky accounts and visits.
See the sources behind them.
Explore visitors, users, devices and IPs with detected account abuse and identification risk assessments. See traffic quality by channel, referrer and campaign.
How it works
Start protecting your product.
Connect once and start receiving ready-made fraud and abuse detections.
- 01
Add the snippet or SDK
Connect your product and start identifying visitors and users.
- 02
Receive ready-made detections
Get detected fraud and account abuse in the dashboard or through API integrations.
- 03
Prevent fraud and abuse
Protect customer accounts, paid access and signup incentives in your product.
Developers
Integrate in
5 minutes.
A single API to identify, detect and score. Receive risk data through API responses and webhooks. Integrate selected data points into your business logic to prevent fraud and abuse.
Protect your users and product
Protect premium access.
Grow paid subscribers.
Start Free FAQ
Understand the evidence.
Put it to work.
What is media subscription abuse?
Media subscription abuse includes repeated free-content access, credential sharing beyond permitted use and automated requests that misuse publishing resources.
How does ShieldLabs help prevent fraud and abuse in Media & Streaming?
ShieldLabs recognizes returning visitors and detects account sharing and bots around subscriber and content access. Help preserve content allowances, paid memberships and trusted reader journeys.
Can ShieldLabs distinguish repeat free access from account sharing?
Yes. Multi-accounting detection concerns separate registered accounts. Account sharing detection concerns excessive device use under one account; dashboard filters can narrow the displayed detections by device count.
Does visitor recognition work after cookies are cleared?
Yes. ShieldLabs recognizes returning visitors across new sessions, cleared cookies, incognito browsing and IP changes. These are visitor-recognition capabilities.
How do I integrate ShieldLabs?
Add the browser snippet or client SDK to your web product. Receive identification results, risk signals and account abuse detections through the dashboard, API integrations and webhooks.
How can a publisher assess access to paid content?
Use visitor recognition for returning browser visits and account sharing or bot detections around subscriber access and content requests.
Can I filter detected results by account and device count?
Yes. Multi-accounting detection starts at three accounts per visitor, and account-sharing detection starts at four devices per account. Dashboard filters narrow displayed results by account or device count without changing the detection rules.
Does this support both metered and subscription content?
Yes. Visitor recognition helps your publishing system preserve free-reading allowances. Account sharing, bot and risk detections help protect signed-in subscriber access and content requests.