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

Prepend 12ft.io/ to the URL of any paywalled page, and we'll try our best to remove the paywall and get you access to the article. Show me a 10ft paywall, I’ll show you a 12ft ladder.

12 Foot Ladder

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 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

Tami vs Greip

Tami is an AI-based cloud security agent at the core of Tamnoon's security solutions. Its main functionality is to aggregate data, conduct deep investigations, and generate remediation to aid cloud security engineers in focusing on safe remediation.

Categorized as a context-aware AI, Tami provides support for companies using a CNAPP or CDR by handling everyday security tasks. It consists of four different agents working in tandem to orchestrate and execute remediation plans.

These include the 'Context Agent', 'External MCP Agent', 'Code Generation Agent', and 'Automation Retriever Agent'. Tami uses multiple Language Models (LLMs) selected for specific tasks and utilises a human CloudPros verification process for the logic and safety of proposed solutions.

Tami also tackles the challenge of response formulation in the cloud security industry by automatically creating validated fixes for any risk it encounters.

It's been trained on Tamnoon's playbooks, which allows it to learn from best practices and create innovative approaches to unique scenarios. It works proficiently, whether the context is single-cloud, multi-cloud, or hybrid, generating comprehensive, provider-specific remediation steps.

Finally, Tami collaborates closely with expert supervision to deliver agent-led remediation scaled with AI to help teams achieve safe remediation and enhance cloud security.

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Tami

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	Tami 5.0 8 reviewsVisit Website	Top pick Greip 5.0 18 reviewsVisit Website
Overview
Tagline	Turn cloud findings into safe remediation	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	8	18
Pricing

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

AI Based Security
API
Analysis
Cloud Security
Cloud Security Enhancement
Finance
Fraud
Free + From $14.99/Mo
Hybrid Cloud Support
Multi Cloud Support
Payments
Remediation Tools
Security
Deployment

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

Pros	Cloud security enhancement Data aggregation capability In-depth risk investigation	Prevents payment fraud Uses Machine Learning IP geolocation information
Cons	Dependent on multiple agents Needs human verification process Trained only on Tamnoon's playbooks	No mobile app No full credit card validation Pay-as-you-go plan is indefinite

Tami vs Greip

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