AI-Powered Ad Fraud Detection
Known threats are blocked immediately. New traffic is analyzed automatically several times daily or whenever configured thresholds trigger a new scan — by three independent AI models working in parallel.
- Block known threats instantly
- Multi-AI traffic analysis
- Confidence-based actions
- Fully white-label
Why it matters
Quality traffic is the foundation of profitable programmatic.
The protection layer combines a fast blocklist for known threats with multi-AI analysis for the unknown — so your advertisers spend on what actually works, and your platform stays clean.
Protection workflow
How the Protection System Works
Seven continuous steps from raw traffic to enforced protection — looping in real time.
- 01
Traffic Collected
- 02
Blocklist Check
- 03
New Traffic Analysis
- 04
Multi-AI Review
- 05
Risk Validation
- 06
Protection Update
- 07
Continuous Monitoring
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What can be blocked
Granular controls across four layers.
Network
- IP
- IP Range
- ASN
- ISP
- Proxy
- VPN
- Tor
- Data Center
Device
- User Agent
- Bot Signature
- Browser
- Operating System
- Device Fingerprint
Supply
- SSP
- Publisher ID
- Source ID
- Domain
- App ID
- Placement ID
- Referrer
Behavior
- Click Frequency
- Session Pattern
- Repeated ID
- Traffic Spike
- Device Mismatch
What the system detects
Signals across infrastructure, identity and behavior.
Bots & automation
Headless browsers, scripted clicks, declared and undeclared crawlers.
Identity reuse
Repeated device IDs, fingerprint collisions and abnormal session loops.
Geo & infra anomalies
Proxy and VPN exit nodes, hosting ranges, ASN-level concentration.
Behavioral spikes
Click bursts, time-of-day anomalies, device/format mismatches.
Multi-AI analysis
Three independent models. One validated score.
Findings from OpenAI, Anthropic and DeepSeek are combined into a single risk score. These vendors are used as analysis providers; they do not officially partner with or endorse WhiteLabelDSP.com.
OpenAI
Reasoning
- Anomaly findings
- Confidence weighting
- Evidence trail
Anthropic
Pattern review
- Anomaly findings
- Confidence weighting
- Evidence trail
DeepSeek
Signal validation
- Anomaly findings
- Confidence weighting
- Evidence trail
Automated actions
Four action levels. You set the thresholds.
Each level has its own confidence threshold. Administrators control which scores trigger which response — and can override any decision manually.
Monitor
Watch the source and collect more signal. No campaign impact.
Review
Queue for admin attention with the full evidence trail.
Restrict
Throttle bids, cap frequency or limit placements automatically.
Block
Add to the active blocklist and stop spending immediately.
Reporting
One dashboard for traffic quality and protection.
Illustrative preview. Real values depend on your live traffic.
White label
Run it under your brand. Sell it as your own.
Present the fraud protection module under your logo, brand name, domain, colors, dashboard and product name — with your own pricing model.
- Logo
- Brand
- Domain
- Colors
- Dashboard
- Product name
- Pricing model
Standard
Your brand
Frequently Asked Questions
Does this guarantee 100% fraud prevention?
No. No detection system can guarantee zero fraud. Known threats are blocked immediately. New traffic is analyzed automatically several times daily or whenever configured thresholds trigger a new scan, and confidence-based actions reduce exposure over time.
How often is new traffic analyzed?
Known threats are blocked immediately. New traffic is analyzed automatically several times daily or whenever configured thresholds trigger a new scan.
Which AI models are used?
Independent findings are produced by OpenAI, Anthropic and DeepSeek and combined into a single risk score. These vendors are used as analysis providers; they do not officially partner with or endorse WhiteLabelDSP.com.
What can the system block?
Network signals (IP, ASN, ISP, proxy, VPN, Tor, data centers), device signals (user agent, fingerprint, OS, browser, bot signatures), supply signals (SSP, publisher, source, domain, app, placement, referrer) and behavioral signals (click frequency, repeated IDs, session patterns, spikes, device mismatch).
Can administrators control automatic actions?
Yes. Each action level — Monitor, Review, Restrict, Block — has its own confidence threshold. You decide which scores trigger which response and you can override any decision manually.
Can this run under our own brand?
Yes. The module can be presented under your logo, brand name, domain, colors, dashboard and product name, and you set your own pricing model for it.
Does ad fraud detection cost extra?
No. Multi-AI fraud detection is included with every White Label DSP plan at no additional charge — there are no per-scan fees or usage caps on the core protection module.
How does the multi-AI scoring work?
Each traffic sample is evaluated independently by OpenAI, Anthropic and DeepSeek models. Their findings are combined into a single confidence-weighted risk score, so a threat flagged by multiple independent models is acted on faster and more reliably than any single-model system.
Will blocking hurt our valid traffic?
The system is tuned to minimize false positives. Automatic actions only trigger above strict confidence thresholds you control, borderline traffic goes to Review instead of Block, and every decision can be manually overridden or whitelisted.
Can we see reports on what was blocked?
Yes. Every action is logged with its reason, signals and confidence score. Dashboards and exports show blocked volume by source, publisher, domain, geography and threat type — suitable for client-facing reporting under your brand.
Ready to protect every impression?
Start your 14-day free trial and launch a White Label DSP with multi-AI fraud detection
included from day one — no setup fees and no credit card required.