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Opportify Launches Fraud Protection to Detect Fake Leads and Form Abuse
S For Story/10697117
CLAYMONT, Del. - s4story -- Claymont, Delaware - Opportify today announced the launch of Fraud Protection (https://www.opportify.ai/products/fraud-protection), an invisible form protection product built for pre-onboarding fraud detection.
Detect fake leads, low-quality submissions, form spam, and bad bots by analyzing every form submission across 100+ signals: behavior, email, IP, device, and more.
Fraud Protection returns advisory risk signals, including a normalized 200–1000 risk score and an Explainable Risk Report with reason codes, so teams can route, review, or challenge submissions based on their own policy.
Fraud Protection eliminates the need for CAPTCHA and introduces no friction for real users. A lightweight JavaScript snippet runs passively on form pages, collecting device, behavioral, and network signals and fusing them with email and IP intelligence. The product is available now at opportify.ai/products/fraud-protection with a 14-day free trial and no credit card required.
More on S For Story
CAPTCHA Is No Longer Enough
The launch addresses a fundamental gap in how modern teams protect their forms. CAPTCHA was designed to separate humans from bots. Today, challenge-based protections are routinely bypassed by automated solving services and AI-assisted tools.
Fraud Protection helps eliminate the need for CAPTCHA by evaluating the full context of each submission and returning advisory risk signals your team can act on.
Key Features of Fraud Protection
Fraud Protection combines multiple intelligence layers into a single invisible risk score:
More on S For Story
What Fraud Protection Evaluates
Fraud Protection looks at the signals that often correlate with fake leads and form abuse, without adding puzzles or friction for real users. It evaluates:
Detect fake leads, low-quality submissions, form spam, and bad bots by analyzing every form submission across 100+ signals: behavior, email, IP, device, and more.
Fraud Protection returns advisory risk signals, including a normalized 200–1000 risk score and an Explainable Risk Report with reason codes, so teams can route, review, or challenge submissions based on their own policy.
Fraud Protection eliminates the need for CAPTCHA and introduces no friction for real users. A lightweight JavaScript snippet runs passively on form pages, collecting device, behavioral, and network signals and fusing them with email and IP intelligence. The product is available now at opportify.ai/products/fraud-protection with a 14-day free trial and no credit card required.
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CAPTCHA Is No Longer Enough
The launch addresses a fundamental gap in how modern teams protect their forms. CAPTCHA was designed to separate humans from bots. Today, challenge-based protections are routinely bypassed by automated solving services and AI-assisted tools.
Fraud Protection helps eliminate the need for CAPTCHA by evaluating the full context of each submission and returning advisory risk signals your team can act on.
Key Features of Fraud Protection
Fraud Protection combines multiple intelligence layers into a single invisible risk score:
- Invisible JavaScript snippet: runs passively on form pages with zero UX friction
- Device fingerprinting and browser intelligence: identifies repeated devices across sessions and form submissions
- Behavioral analytics: analyzes mouse movement, scroll depth, keystroke timing, and form interaction patterns to surface likely automation
- Email and IP signal fusion: each submitted identifier is independently scored and fused into a composite risk profile
- Risk scoring (200–1000 scale): risk tiers with explainable reason codes
- Webhook delivery: risk signals are available via API and webhook for immediate routing in any backend or no-code workflow
- Pre-KYC screening: surfaces risk signals before expensive identity verification workflows
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What Fraud Protection Evaluates
Fraud Protection looks at the signals that often correlate with fake leads and form abuse, without adding puzzles or friction for real users. It evaluates:
- Email signals: disposable or temporary email patterns, risky providers, and domain anomalies
- IP and network signals: VPN, proxy, Tor, datacenter traffic, and other high-risk network indicators
- Device signals: repeated device fingerprints across attempts, headless browser indicators, and suspicious client environments
- Behavioral signals: unusually fast form completion, copy and paste only input, and interaction patterns that look automated
Source: Opportify
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