F5 Shape Security vs Scamnetic comparison

The Shape technology platform, covered by 50+ patents, stops automated fraud and other attacks on web and mobile applications, including credential stuffing, account takeover, scraping, and unauthorized aggregation. Shape is one of the largest processors of login traffic in the world, protects more than 1.3 billion user accounts, and prevented more than $1 billion in fraud losses last year.

Shape solutions leverage artificial intelligence and machine learning, among other technologies, to accurately determine in real-time if an application request is from a fraudulent source, and if so, effectively mitigate. As soon as new countermeasures are deployed, 5%-10% of attackers will typically attempt to retool and start a new attack. Shape solutions adapt and maintain full efficacy even as attackers evolve.

The world's leading banks, airlines, retailers, hotel chains, and federal agencies rely on Shape as their primary line of defense against sophisticated cybercrime.

Shape Solutions:

Shape Recognize: Identify returning, known users of your website and reduce authentication friction for these users. This enables organizations using Recognize a persistent and secure login experience where good users face less login challenges while still increasing online safety.

Shape AI Fraud Engine (SAFE): SAFE connects context across different browsers and devices used by the same user, as well as observations from across Shape’s entire network. This allows Shape's AI engine to drive down fraud each month as its engine consumes more data.

F5 Device ID+: A real-time and precise device identifier using advanced signal collection and machine learning to assign a unique fingerprint to each device visiting your site. Simple deployment with immediate results for security, networking, and fraud. Better understand the unique devices visiting your applications.

Shape Enterprise Defense: Invisibly protect every application from attack, fraud, and abuse. Defending the world's largest companies, Shape knows whether a request is bot or human driven and if the intent is malicious or benign. This allows Shape to prevent fraud in real-time; manage aggregated and partner access to applications and provide new data for better customer insights.

Shape was recognized by Cybercrime Magazine as one of the Hot 150 Cybersecurity companies in 2019 and CB Insights 2019 AI 100 most promising artificial intelligence startups across the globe.

Scamnetic is a robust tool designed for detecting and preventing fraudulent activity, providing businesses with the means to secure their operations efficiently.

Scamnetic stands out for its ability to offer comprehensive fraud protection through a combination of advanced algorithms and real-time monitoring. Designed to integrate seamlessly into existing infrastructures, Scamnetic provides users with timely alerts and detailed reporting, ensuring that potential threats are effectively managed. The platform's advanced machine learning capabilities allow for continual improvement and adaptation to new fraud patterns, making it a reliable choice for businesses looking to safeguard their assets.

• Real-Time Alerts: Immediate notification of suspicious activities.
• Advanced Analytics: In-depth reports and insights into fraud patterns.
• Machine Learning: Constant updates and improvements in fraud detection algorithms.
• Seamless Integration: Easy to implement into current systems.

• Reduced Fraud Losses: Minimize the financial impact of fraudulent activities.
• Improved Decision Making: Data-driven insights that aid in strategy formulation.
• Enhanced Security: Robust protection that boosts trust and credibility.
• Cost Efficiency: Streamlined operations lead to reduced expenditure.

Scamnetic is widely adopted in industries such as finance, e-commerce, and insurance where fraud prevention is critical. In finance, it mitigates risks associated with digital transactions. E-commerce platforms use Scamnetic to protect consumer data and transactions, while insurance companies rely on it to detect and prevent fraudulent claims, ensuring competitive viability and consumer trust.