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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NSFW JS

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

Fraud-net vs Greip

Fraud.net's AI and Machine Learning Models offers an extensive range of solutions aimed at fraud detection and prevention. Leaning heavily on artificial intelligence and machine learning including deep learning and neural networks in combination with its proprietary data sciences methodology, the tool provides valuable insights to tackle fraud.

It offers multiple facets of applications - 'Application AI' and 'Transaction AI' for application-related and transaction-related fraud. The solutions also encompass identity services and monitoring of banks and payment methods, email compromise, dark web and ISP intelligence for varied established industries.

Additionally, it provides case management, analytics, and reporting solutions. Multi-factor authentication, social media intelligence, and continuous risk monitoring lend an added layer of security.

Understanding the diverse needs, they offer different solutions for various fraud types including account takeover, application fraud, business email compromise, collusion, and insider threats among others.

Critical banking functions like KYC/AML, payment fraud, and synthetic identity fraud also fall within their solution offerings, assuring a well-rounded asset protection platform.

Resources available span from case studies, fact sheets, industry reports, product release notes to webinars, podcasts, and a dedicated 'fraud dictionary' for further education.

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Fraud.net

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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Compare	Fraud.net 5.0 17 reviewsVisit Website	Top pick Greip 5.0 18 reviewsVisit Website
Overview
Tagline	AI-powered fraud detection for smarter business decisions.	Fraud prevention for financial security.
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	17	18
Pricing

Pricing Model	—	Freemium
Starting Price	Contact vendor for pricing	Free plan available
Features

API
Analysis
Finance
Fraud
Free + From $14.99/Mo
Payments
Security
Application AI
Data Sciences
Deep Learning
Fraud Detection
Neural Networks
Transaction AI
Deployment

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

Pros	Deep learning methodologies Neural network capabilities Extensive fraud detection services	Prevents payment fraud Uses Machine Learning IP geolocation information
Cons	Proprietary data science methodology Emphasis on many fraud types No clear adherence to data privacy regulations	No mobile app No full credit card validation Pay-as-you-go plan is indefinite

Fraud-net vs Greip

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