F5 Shape Security and Riskified are products in the cybersecurity sector, focusing on fraud prevention and security. Despite F5 Shape Security's strengths in customer service and pricing, Riskified is often seen as superior due to its comprehensive features.
Features: F5 Shape Security uses AI for advanced threat detection and mitigation, offering tools for fraud prevention and cyber threat protection. It integrates seamless with diverse security needs. In contrast, Riskified focuses on e-commerce fraud prevention, enhancing approval rates and reducing chargebacks through deeper integration with payment systems. Riskified provides tools specifically for payment protection.
Ease of Deployment and Customer Service: F5 Shape Security offers flexible deployment supported by comprehensive customer service to maintain optimal protection. Riskified provides straightforward integration for e-commerce platforms with proactive customer support, ensuring smooth operation in the online retail environment. Both deliver excellent customer service but differ in deployment flexibility, with F5 Shape being more versatile.
Pricing and ROI: F5 Shape Security offers competitive pricing leading to significant ROI through reduced fraud losses and operational efficiency. Riskified entails a higher initial investment but offers substantial returns by increasing sales approval rates and minimizing chargebacks, making it valuable for e-commerce. The distinction lies in Riskified's higher value for e-commerce despite increased setup costs.
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.
Riskified's fraud detection solution protects eCommerce merchants from chargebacks while minimizing the impact of false declines on online revenues. Machine learning models eliminate the need to manually adjust fraud detection, and elastic linking drives decision speed and accuracy.
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