Verisoul prevents signup abuse, fake accounts, automated account creation, account sharing, and product abuse in AI and PLG SaaS products.

This includes fake and disposable emails, repeat and clustered signups, bought or scripted signup activity, geolocation fraud, AI token abuse, data scraping, free trial and free plan abuse, and credit or usage abuse. Verisoul stops abuse at signup, login, and usage time to protect revenue, infrastructure, and model access.

Verisoul detects fake, disposable, and abusive emails by analyzing email legitimacy, domain behavior, and historical usage patterns in real time.

Verisoul evaluates email age, online history, breach exposure, domain forensics, email similarity, and business legitimacy. For business emails, Verisoul analyzes how legitimate the organization is, where it is registered, and how its domain behaves across signups.

Verisoul stops duplicate accounts and coordinated signup attacks by linking related identities across devices, networks, and sessions.

It uses device forensics to generate durable fingerprints, combines device- and network-level signals, applies probabilistic identity resolution, and analyzes email and name similarity. Verisoul also tracks users longitudinally and leverages a cross-customer identity graph to detect abuse patterns that single-product tools cannot see.

Verisoul detects account sharing by identifying abnormal device, network, and login volatility across user sessions.

It analyzes device behavior and forensics, impossible travel between logins, and inconsistent device profiles, such as frequent switching between iOS and Android, Windows and macOS, or multiple mobile carriers. High volatility signals shared credentials or abuse without relying on brittle IP rules.

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No. Verisoul operates invisibly and does not require CAPTCHAs, additional questions, or user-facing challenges.

Fraud detection runs passively using behavioral, device, and network signals. When needed, Verisoul can optionally apply invisible friction such as deeper email research or phone intelligence without harming conversion or onboarding.

No. Verisoul provides intelligent fraud decisions that your team controls using machine learning signals and custom business logic.

Many teams use Verisoul to block bad actors, but others route detected duplicates to a paywall, limit usage, require upgrades, or surface messaging that drives revenue. This flexibility is especially valuable in PLG and AI SaaS, where abuse prevention and monetization are tightly linked.

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Yes. Verisoul includes a no-code rules engine that lets teams define fraud logic based on their business needs.

Teams can allowlist trusted domains, block specific domains or countries, set thresholds for duplicate behavior, and tune responses for free plans, trials, or paid tiers - using Verisoul’s signals without writing code or deploying engineering changes.

Verisoul integrates through flexible APIs that can be embedded anywhere in the user lifecycle.

Teams commonly integrate Verisoul at signup, login, free-tier usage, API access, and checkout to stop abuse where it impacts revenue, infrastructure costs, or AI model access without rewriting product flows.

Verisoul protects AI and PLG SaaS by leveraging fraud intelligence from over 12 industries.

By observing abuse patterns across payments, gaming, FinTech, marketplaces, and social platforms, Verisoul identifies emerging fraud techniques, like automated abuse and account farming, before they scale inside SaaS and AI products.