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Meet Incognia AI-Powered Browser ID: The New Standard in Web Risk Intelligence>>

AI-Powered Browser ID: The New Standard in Web Risk Intelligence.

Leverage Incognia Transformer models to ensure high-precision identity persistence. Stop recurring fraud and approve more customers by recognizing patterns, not just static attributes.

Trusted by

25% increase in re-identification rates
25% increase in re-identification rates
25% increase in re-identification rates
0.0002% False Positive Rate
Decay of Fingerprinting

Decay of Fingerprinting

Standard checklists become less effective as browser updates and privacy settings change.

Processing Bottlenecks

Processing Bottlenecks

Traditional methods struggle to match hundreds of attributes simultaneously, often leading to data loss.

Precision Trade-offs

Precision Trade-offs

Rigid systems trigger false positives, forcing businesses to choose between security and user experience. Incognia's AI-powered model eliminates this compromise with a 0.0002% False Positive Rate.

How our solution works

WEB BROWSER FIELDS
  • IP ADDRESS

    IP ADDRESS
  • USER-AGENT

    USER-AGENT
  • SCREEN RESOLUTION

    SCREEN RESOLUTION
RAW TEXT 
{
"IP": "192.168…”,
"UA": "Mozilla…”,
"Res": "1928x1088"
}

1. Tokenization

Like an LLM, our engine tokenizes data (fonts, resolution, language) to understand the "meaning" of the session.

TOKENIZER 
"IP": "192.168…”,
"UA": "Mozilla…”,
"Res":
...

2. Vector Space

We map tokens into a high-dimensional vector space using Transformer models to identify unique browser clusters.

EMBEDDING VECTOR OUTPUT 
[0.141, -0.021, 0.057, ..., 0.005]

3. Identity Persistence

Incognia's AI generates closely clustered vectors even as attributes shift, ensuring stable re-identification via similar vector patterns from the same device.

This persistent recognition is the foundation for unmasking repeat offenders who use incognito mode or VPNs to hide.

Use Cases

Stop Recurring Fraud:

Stop Recurring Fraud:

Maintain identity persistence that legacy fingerprinting cannot achieve. Keep banned users out even after they clear caches, rotate IPs, or update browser settings to mask their identity.

Drive Secure Growth:

Drive Secure Growth:

Approve more good users by eliminating the rigid triggers that cause false positives. Approve transactions with confidence, backed by a precise 0.002% False Positive Rate.

Better re-identification:

Better re-identification:

Equip risk teams with a new AI-powered identity standard that delivers +25% better re-identification and significantly more durable protection against sophisticated spoofing.

Unparalleled Browser Identification

Box (1)

By tokenizing data rather than matching strings, Incognia has eliminated the performance bottlenecks of older systems.

Benchmark against traditional browser fingerprint models shows a +25% re-identification rate.

FAQs

How is AI-powered Browser ID different from traditional browser fingerprinting?

Traditional fingerprinting operates like a static checklist; if too many items on the checklist change (like a browser update or a new font), the "match" fails and the identity is lost. Incognia’s AI-powered Browser ID works like a smart brain. Instead of looking for an exact string match, it uses Transformer architecture to understand the semantic relationship between over 200 metadata signals. By recognizing the unique pattern of a session rather than a rigid list of attributes, we can maintain a stable identity even when the technical environment shifts.

What is the significance of using "Transformer architecture" for web identity?

Transformer architecture is the same core technology behind modern Large Language Models (LLMs). While LLMs use it to understand the relationships between words in a sentence, Incognia uses it to "tokenize" browser metadata such as language, resolution, and hardware signatures. By mapping these tokens into a high-dimensional vector space, the AI can recognize a browser "cluster" with extreme precision. This allows the system to understand a session's intent and stability, even if individual attributes are modified or spoofed.

How does this technology improve "Identity Persistence"?

Standard identification methods suffer from "decay"—the ID breaks as soon as a user clears their cache or updates their software. Because our AI-powered model recognizes the device's underlying "DNA," it can re-identify the same user across different sessions. This ensures that a "trusted" user remains frictionless and, more importantly, a "banned" fraudster remains blocked even if they attempt to hide their technical trail. Our internal benchmarks show a significant reduction in this natural decay compared to traditional methods.

Will this impact page load speeds or user experience?

No. We have specifically engineered our infrastructure using a high-performance ScyllaDB stack to handle massive global web traffic with ultra-low latency. Our AI architecture optimizes processing by localizing data into meaningful groups, enabling complex, multidimensional comparisons at the edge. This means you get a [X]x improvement in identification precision without adding any detectable lag to the user's browser experience.

Can this replace my existing risk signals?

Yes. AI-powered Browser ID is designed to be the foundation of your Risk Intelligence stack. By providing a more accurate and persistent identity standard, it reduces the "noise" and false positives often triggered by legacy systems. It allows risk teams to move away from binary "match/no-match" decisions and toward sophisticated, pattern-based recognition that drives secure revenue growth.

Ready ato upgrade your web risk intelligence?