Greip is an AI-powered fraud prevention tool that helps developers safeguard their app's financial security by preventing payment fraud. Greip offers AI-based fraud prevention technology that uses machine learning (ML) modules to validate each transaction in an app and measures the likelihood of fraudulent activity.

The tool also includes IP geolocation info, which helps improve the user experience by adapting website content to visitor location and language. Greip detects and protects against anonymous visitors and ensures that website visitors are not using VPN or proxy services that could be used for fraudulent activities.Other features of Greip include BIN/IIN validation, which fetches and validates customer debit/credit card number full details by providing the first 6 or 8 digits, country API to retrieve complete information about any country in the world, user data validation, and more.

Greip offers different plans to meet the needs of developers, including Free, Standard, Premium, and Pay-as-you-go plans.Greip is trusted by hundreds of businesses worldwide and is one of the projects of GRE DEVELOPMENT LTD, registered in England and Wales.

The tool offers different resources for developers, including documentation and support, and is available as SDKs, packages, and CLI.

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Greip

Norton Neo is an AI-native browser that focuses on users' safety and productivity. The innovative platform combines intelligent navigation with conversational AI, and search functionality to streamline the browsing experience.

A key offering of the Neo browser is its focus on privacy and user control. It gives users the ability to determine what information is remembered and what gets forgotten.

Users' chats and browsing history are stored locally, ensuring that data remains private and secure. Additionally, Norton's Web Shield utility is integrated, providing proactive protection by blocking potentially harmful sites and phishing attempts before the user interacts with them.

The browsing experience promises fewer distractions by organizing tabs and prioritizing what's important, easing navigation and improving focus. The browser also seeks to create a fluid user experience, where searches effectively lead to answers and actions, reducing friction in the digital navigation process.

Neo also offers personalized discovery by tailoring a feed based on what inspires each user, making the browsing experience more engaging and personalized.

As a pioneering AI-native browser, Norton Neo focuses on user control, safety, and an efficient, personalized browsing experience.

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Norton Neo Browser

🚀 Smarter, Faster, and More Controllable: Announcing Release 1.3.0!

We're thrilled to announce a major platform update packed with features designed to accelerate your results, give you more control, and improve your overall experience. This release introduces parallel task execution, a completely revamped UI, and powerful new ways to manage your tasks.

✨ Key Feature Highlights

Run Subtasks in Parallel for Faster Results

Full Control Over Your Tasks

A Revamped User Interface

✅ Other Improvements

We can't wait for you to try out these new features!

✨ New Features Just Dropped!

🔁 Recurring Tasks – Automate your workflow by setting any task to run on a custom schedule. No more daily copy-paste.

🌐 Community Sharing – Share your favorite tasks with the world and get a chance to be featured on our homepage!

✨ Added

🔁 Changed

🐛 Fixed

🔒 Security & Ops

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ComputerXv1.3.0

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Sigma AI Browser

ETHIACK is an autonomous ethical hacking tool that helps organizations identify vulnerabilities in their digital infrastructure before they can be exploited.

This tool combines Machine and Human Ethical Hacking techniques to provide both in-depth and broad security testing. One of the key features of ETHIACK is its External Attack Surface Management, which helps organizations gain a complete view of their entire digital exposure, including third-party services, APIs, and external tools.

This allows them to identify weak points and manage their external attack surface effectively. The tool also offers Machine Ethical Hacking, which runs continuously with high accuracy in identifying vulnerabilities.

Unlike traditional scanners that often produce false positives, ETHIACK's AI-powered hackers provide real-time reports with 99% accuracy. ETHIACK boasts an impressive track record, having identified over 20,000 vulnerabilities.

Its team of world-class ethical hackers undergoes rigorous vetting and background checks to ensure the highest level of expertise and trustworthiness when testing critical systems.

Organizations that use ETHIACK receive continuous evaluation and reports on vulnerabilities, along with detailed guides on exploitation and mitigation.

This knowledge transfer helps them develop products with greater security and stay ahead of potential attacks. Overall, ETHIACK offers a comprehensive and proactive approach to ethical hacking, allowing businesses to better protect their digital assets and maintain a secure infrastructure.

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Ethiack

Ghostwall is an AI tool designed to protect your ad budget from fraudulent activities such as click fraud. It operates across various platforms including Google Ads, Meta (formerly Facebook), Microsoft, LinkedIn, and TikTok.

The detection process needs two phases: identifying and blocking. The tool monitors visitor behavior and identifies patterns that deviate from those of genuine human users, this is essential in detecting bot traffic.

Aside from monitoring and detecting suspicious activities with a level of accuracy, Ghostwall is implemented to shadow-ban these suspicious activities to maintain the integrity of your pixel data.

Another integral part of Ghostwall's functionality is the recovery phase. For every blocked bot event, the tool logs it with the necessary forensic evidence.

This evidence plays a key role when claiming refunds from the respective ad platforms for the fraudulent clicks your ads received. Ghostwall offers two pricing plans; the 'Blocker' and 'Recovery'.

The 'Blocker' focuses on bot detection and blocking on your website while 'Recovery' offers an additional feature of providing the necessary forensic evidence tools for claiming ad platform refund claims.

The operation of Ghostwall does not require complex technical knowledge and the tool can be easily set up on ghostwall.co.

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Ghostwall

Polymer-dspm-for-ai vs Nsfw-js

Polymer DSPM for AI is a data security posture management solution primarily focused on preventing data breaches through risk management and continuous monitoring.

This tool aids in the real-time visibility of data, providing various adaptive data loss prevention (DLP) controls, and offering automated redaction features to eliminate risks before they transform into breaches.

Designed with versatility and adaptability at its core, Polymer DSPM leverages a unique low-code architecture which makes it amenable for secure functioning in the era of AI.

The solution ensures comprehensive coverage of data management across multiple platforms which include Bitbucket, Box, GitHub, Google Drive, Microsoft OneDrive, Microsoft Teams, Notion, Salesforce, Slack, and Zendesk.

It spotlights potential AI-related risks in the software development lifecycle, and has the capability to secure AI agents quickly. One of its prominent features, SecureRAG, focuses on risk scan across platforms, providing crucial insights to mitigate potential data threats.

Polymer Risk Score v2: behavior-aware, and content-driven risk framework for enterprise security teams.
✅ Quantifies risk in real time—per event, per user
✅ Tracks behavioral drift and remediation patterns
✅ Extensible into SIEMs, UEBA, and enterprise risk simulations
✅ Customizable to align with your governance, data sensitivity, and tolerance thresholds
🧠 Inspired by the same techniques Wall Street uses to model operational loss and tail-risk exposure, the Polymer Risk Score brings a new level of precision to how enterprises understand and act on human-centric risk.

Let’s move from static alerts to predictive risk intelligence.

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Polymer Runtime Data Securityv2.1

NSFWJS is a JavaScript library designed to help identify potentially inappropriate images on a client's browser, without needing to send the image to a server.

The library is powered by TensorFlowJS, which is an open-source machine learning library for JavaScript. The library is trained to recognize particular patterns in the images, with the current accuracy rate at 93%.

The library also incorporates CameraBlur Protection, which is a feature that blurs any images that it identifies as being potentially inappropriate. The library is constantly being improved and updated, with new models being released frequently.

NSFWJS is free to use, and can be modified and distributed under the MIT license. The library also includes a mobile demo, which allows users to test different images on their mobile devices.

Finally, the library is available for download through GitHub, and users are encouraged to report any false positives or contribute to the development of the library.

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Compare	Top pick Polymer Runtime Data Securityv2.1 5.0 21 reviewsVisit Website	NSFW JS 5.0 20 reviewsVisit Website
Overview
Tagline	Prevent AI data breaches with real-time risk management.	Identify NSFW images in the browser
Category	Network Security	Network Security
Ratings

Overall Rating	5.0	5.0
Ease of Use	5.0	5.0
Features	5.0	5.0
Value for Money	5.0	5.0
Customer Service	5.0	5.0
Total Reviews	21	20
Pricing

Pricing Model	Free	Free
Starting Price	Free plan available	Free plan available
Features

AI Security
Data Breach Prevention
Data Security
Data Threat Mitigation
Free
NSFW
Real Time Monitoring
Risk Management
Image
Deployment

Deployment Options	Cloud, SaaS, Web-Based	Cloud, SaaS, Web-Based
Pros & Cons

Pros	Prevents data breaches Real-time risk management Continuous monitoring	Client-side Image detection Powered by TensorFlowJS 93% Accuracy rate
Cons	Limited integration options Low-code architecture complexity Possible alert desensitization risk	Dependent on TensorFlowJS No server-side processing 93% Accuracy (false positives)

Polymer-dspm-for-ai vs Nsfw-js

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