SHIELD

SHIELD

Your First Line of Defense Against Fraud

What is SHIELD?

SHIELD offers a cutting-edge Device-First Fraud Intelligence solution designed to combat various forms of online fraud while enhancing user trust and driving business growth. Utilizing advanced AI technology, SHIELD provides real-time device intelligence that identifies trustworthy users and devices, effectively blocking fraudulent activities such as fake accounts, account takeovers, and payment fraud. The platform is tailored for diverse industries, including ride-hailing, e-commerce, and digital banking, ensuring comprehensive protection against emerging threats. With features like a plug-and-play SDK and explainable machine-learning algorithms, SHIELD empowers organizations to make informed decisions without compromising user privacy. Trusted by leading companies, SHIELD is positioned as a vital partner in maintaining secure user experiences and fostering growth in a rapidly evolving digital landscape.

SHIELD Pricing

Freemium

SHIELD ToS AI Analysis

Last Updated: February 10th, 2025 Tos Average Score: 8.2
User Responsibilities and Restrictions:8.5
Intellectual Property Rights:9
Limitation of Liability and Disclaimers:8
Governing Law and Dispute Resolution:7.5
Termination and Account Suspension:8
Summary
Overall, SHIELD's Terms of Service are well-structured and cover essential aspects such as user responsibilities, intellectual property rights, and liability limitations. The clarity and comprehensiveness of the provisions are commendable, though there are opportunities for improvement in user-generated content ownership, dispute resolution procedures, and simplifying legal language for better accessibility.
User Responsibilities and Restrictions
8.5
SHIELD outlines clear responsibilities for users, including the prohibition of unauthorized access, modification, and distribution of the Services. The section effectively communicates the expectations for user behavior, although it could benefit from more examples of prohibited activities to enhance clarity.
Intellectual Property Rights
9
The Terms provide a comprehensive overview of intellectual property rights, clearly stating that SHIELD retains ownership of its Services and Documentation. It also grants users a limited license for internal use, which is well-defined. However, the section could be improved by explicitly addressing user-generated content and its ownership.
Limitation of Liability and Disclaimers
8
SHIELD includes a robust limitation of liability clause, effectively capping potential damages and disclaiming warranties. This protects the company while informing users of the risks. However, the language could be simplified for better user understanding, particularly for non-legal audiences.
Governing Law and Dispute Resolution
7.5
The Terms specify that Singapore law governs the agreement and outline the jurisdiction for disputes. While this is clear, the absence of detailed dispute resolution procedures, such as mediation or arbitration, may leave users uncertain about how to proceed in case of a conflict.
Termination and Account Suspension
8
SHIELD provides clear conditions under which accounts may be terminated or suspended, including material breaches and inactivity. The process appears fair, but additional details on the notification process and user recourse could enhance transparency.

SHIELD Privacy Policy AI Analysis

Last Updated: February 10th, 2025 Privacy Policy Average Score: 8.1
Data Collection:8.5
Data Usage:8
Data Sharing and Disclosure:7.5
User Rights and Controls:8
Data Security and Retention:8.5
Summary
Overall, SHIELD's Privacy Policy is well-structured and provides a clear understanding of data collection, usage, sharing, user rights, and security measures. The policy effectively addresses key privacy concerns, particularly for users in the EEA under GDPR. Areas for improvement include enhancing transparency around data sharing circumstances, providing more details on marketing opt-out processes, and specifying retention periods for different data types.
Data Collection
8.5
SHIELD provides a comprehensive overview of the types of data collected, including passive biometric data, device information, shopping cart information, user information, payment information, geolocation information, and aggregated data. The methods of collection are clearly stated, particularly in relation to user consent and interaction with Merchant platforms. However, the policy could benefit from more clarity on how data is anonymized or aggregated to further protect user privacy.
Data Usage
8
The policy outlines the purposes for which data is used, primarily focusing on fraud prevention and enhancing user experience on Merchant platforms. It mentions the use of data for marketing communications when users interact with SHIELD's website. However, more transparency regarding analytics and personalization practices could enhance user understanding of how their data is utilized.
Data Sharing and Disclosure
7.5
SHIELD clearly states that it does not share, rent, or sell user information to third parties, except as required by law. The policy mentions subprocessors like Amazon Web Services for data storage, which is a positive aspect. However, it could provide more detail on the specific circumstances under which data might be shared with law enforcement or other third parties.
User Rights and Controls
8
The policy effectively outlines user rights under GDPR, including access, modification, and deletion of data. It provides actionable steps for users to exercise these rights, such as contacting SHIELD via email. However, it could improve by including more information on how users can opt-out of marketing communications and the process for doing so.
Data Security and Retention
8.5
SHIELD describes robust security measures, including audit assessments, access controls, and network security protocols. The retention policy is clear, stating that data is kept only as long as necessary for fraud prevention purposes. However, it could benefit from specifying the exact retention periods for different types of data.

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