Stop Fraud Before it Impacts Your Voice, SMS, Email, and Messaging Infrastructure

Verisoul prevents the most common and costly abuse targeting telecom and communications infrastructure, including fake account creation, automated signups, repeat spammers, proxy-based abuse, location spoofing, traffic pumping, and regulatory evasion.

Verisoul is designed for voice, SMS, email, and communications APIs, where fraud directly creates infrastructure costs, carrier risk, and compliance exposure. Detection happens in real time using identity, device, network, behavioral, and location intelligence.

Verisoul prevents fake accounts by combining email intelligence, identity signals, device analysis, and bot detection before users can access communications infrastructure.

At registration and API access, Verisoul evaluates:

• Email quality and legitimacy, including disposable detection, domain history, and abuse indicators
• Identity signals associated with low-trust or automated account creation
• Device behavior indicating emulators, virtualized environments, or reused devices
• Automation patterns consistent with scripted or programmatic signups

This allows telecom platforms to block high-risk accounts before voice, SMS, or messaging resources are consumed.

Verisoul blocks repeat spammers by linking new accounts back to identities you have already banned, even when abusers attempt to evade detection.

Reentry detection includes:

• Durable device forensics that persist across resets and configuration changes
• Probabilistic identity resolution across devices, networks, and behavior
• Longitudinal tracking of users over time
• Cross-customer abuse intelligence that surfaces repeat patterns

This prevents spammers from cycling through new emails, IPs, or accounts to regain access.

Yes. Verisoul is designed to detect mobile proxies, residential proxies, VPNs, and location spoofing commonly used to abuse telecom infrastructure.

Fraudsters often use proxy networks and location manipulation to bypass geographic restrictions and carrier controls. Verisoul detects this using:

• Network inspection techniques that flag encrypted proxy tunnels and abnormal packet routing
• Detection of intermediary or middleman devices intercepting or relaying traffic
• Location piercing and triangulation, correlating routing paths, device behavior, and session context to infer a user’s true location
• Environmental consistency checks, including language, fonts, keyboard layout, time zone, and OS region

These techniques allow telecom teams to stop proxy-based abuse and regulatory evasion, even when IP addresses appear residential or mobile.

Verisoul provides a clear audit trail and traceability for every fraud and abuse decision.

For each user or account, Verisoul surfaces:

• Risk scores and contributing signals
• Identity, device, network, and location context
• Decision rationale and enforcement reasoning

This helps telecom teams explain, review, and defend decisions for carrier requirements, regulatory audits, internal reviews, and customer escalations.

No. Verisoul operates invisibly and does not require CAPTCHAs, SMS challenges, or user-facing verification by default.

All detection runs passively in real time, allowing platforms to stop abuse without degrading signup flows or API performance.

Yes. Verisoul provides risk intelligence and signals, while your team decides how to respond.

Common actions include:

• Blocking or suspending accounts
• Restricting access to voice, SMS, or messaging features
• Applying geographic or usage limits
• Triggering internal review or compliance workflows

This flexibility allows teams to balance fraud prevention, customer experience, and regulatory obligations.

Verisoul goes beyond IP reputation and static rules by combining identity resolution, device forensics, active network intelligence, behavioral analysis, and location validation into one platform.

Legacy telecom tools often miss modern abuse driven by automation, proxy networks, and identity rotation. Verisoul is built to stop real-world infrastructure abuse at scale, while minimizing false positives and operational overhead.