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Ratings and Reviews 0 Ratings
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Proton DriveProton Drive is a secure cloud storage and collaboration platform built for professionals who manage sensitive data. Whether you’re sharing internal documents, legal contracts, or client files, Proton Drive keeps your data private — by default. Files are encrypted on your device before upload, and only you and your collaborators can access them. Even Proton can’t read your files. You can set passwords, add expiration dates, or revoke access instantly — so you’re always in control. Each user gets 1 TB of storage, with the flexibility to add more as your team or projects grow. Designed and hosted in Switzerland, Proton Drive is developed by the team behind Proton Mail and Proton VPN — trusted by over 100 million users worldwide. We’re independent, open source, and committed to keeping your data safe from surveillance and vendor lock-in. Proton Drive helps you stay compliant, with support for: - GDPR, HIPAA, ISO 27001, NIS2, and DORA - Verified SOC 2 Type II audits - No complex setup. No third-party tools required. Built for security teams, law firms, healthcare providers, consultancies, and privacy-conscious organizations of all sizes.
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csideEffectively tracking third-party scripts removes ambiguity, guaranteeing that you remain informed about what is sent to your users' browsers, while also boosting script efficiency by as much as 30%. The uncontrolled existence of these scripts within users' browsers can lead to major complications when issues arise, resulting in negative publicity, possible legal repercussions, and claims for damages due to security violations. Organizations that manage cardholder information must adhere to PCI DSS 4.0 requirements, specifically sections 6.4.3 and 11.6.1, which mandate the implementation of tamper-detection mechanisms by March 31, 2025, to avert attacks by alerting relevant parties of unauthorized changes to HTTP headers and payment details. c/side is distinguished as the only fully autonomous detection system focused on assessing third-party scripts, moving past a mere reliance on threat intelligence feeds or easily circumvented detection methods. Utilizing historical data and advanced artificial intelligence, c/side thoroughly evaluates the payloads and behaviors of scripts, taking a proactive approach to counter new threats. Our ongoing surveillance of numerous websites enables us to remain ahead of emerging attack methods, as we analyze all scripts to improve and strengthen our detection systems continually. This all-encompassing strategy not only protects your digital landscape but also cultivates increased assurance in the security of third-party integrations, fostering a safer online experience for users. Ultimately, embracing such robust monitoring practices can significantly enhance both the performance and security of web applications.
What is comForte?
Data-centric security plays an essential role in shaping your business strategy. Traditional security approaches often focus on the perimeter around data, leading to isolated systems that can hinder the accessibility and functionality of information. This outdated practice does not align with the demands of contemporary business, which increasingly relies on data analytics and the seamless integration of automated AI and machine learning processes. By implementing tokenization of sensitive data elements while preserving their original format, data-centric security transforms how your organization protects, manages, audits, and leverages its most vital information. Additionally, a robust data-centric security solution goes beyond simple protection; it offers a comprehensive platform for data discovery and protection that can evolve and grow in tandem with the organization. This adaptable framework not only fortifies your sensitive data but also ensures it remains easily accessible for strategic initiatives. Ultimately, committing to this all-encompassing approach guarantees that your critical data is both safeguarded and primed for optimal utilization in driving business success.
What is Snorkel AI?
The current advancement of AI is hindered by insufficient labeled data rather than the models themselves. The emergence of a groundbreaking data-centric AI platform, utilizing a programmatic approach, promises to alleviate these data restrictions. Snorkel AI is at the forefront of this transition, shifting the focus from model-centric development to a more data-centric methodology. By employing programmatic labeling instead of traditional manual methods, organizations can conserve both time and resources. This flexibility allows for quick adjustments in response to evolving data and business objectives by modifying code rather than re-labeling extensive datasets. The need for swift, guided iterations of training data is essential for producing and implementing high-quality AI models. Moreover, treating data versioning and auditing similarly to code enhances the speed and ethical considerations of deployments. Collaboration becomes more efficient when subject matter experts can work together on a unified interface that supplies the necessary data for training models. Furthermore, programmatic labeling minimizes risk and ensures compliance, eliminating the need to outsource data to external annotators, thus safeguarding sensitive information. Ultimately, this innovative approach not only streamlines the development process but also contributes to the integrity and reliability of AI systems.
Integrations Supported
Dask
Kubernetes
TensorFlow
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
comForte
Date Founded
1998
Company Location
Germany
Company Website
www.comforte.com/data-security
Company Facts
Organization Name
Snorkel AI
Date Founded
2019
Company Location
United States
Company Website
snorkel.ai/
Categories and Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Security
Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance
Categories and Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Data Labeling
Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization