The DML model is a machine learning-based approach to detect and prevent data breaches. It uses a combination of natural language processing and machine learning algorithms to identify potential security threats and anomalies in an organization's data. The DML model is designed to be highly accurate and efficient, allowing it to quickly and effectively detect potential security threats and prevent data breaches. The model is trained on a large dataset of known security threats and anomalies, allowing it to learn and adapt to new and emerging threats. The DML model is a powerful tool for organizations looking to improve their data security and prevent data breaches.
A tool for creating cryptographically strong volumes that destroy themselves upon tampering or via issued command.
SOPS is an editor of encrypted files supporting various formats and encryption methods.
A browser extension that helps you find and track sensitive data exposure across the web.
A library for generating random numbers and strings of various strengths, useful in security contexts.
Helm plugin for cryptographically signing and verifying charts with GnuPG integration.
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
Fabric Platform is a cybersecurity reporting solution that automates and standardizes report generation, offering a private-cloud platform, open-source tools, and community-supported templates.
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Wiz Cloud Security Platform is a cloud-native security platform that enables security, dev, and devops to work together in a self-service model, detecting and preventing cloud security threats in real-time.
A cybersecurity platform that offers vulnerability scanning, Windows Defender and 3rd party AV management, and MFA compliance reporting, among other features.
Adversa AI is a cybersecurity company that provides solutions for securing and hardening machine learning, artificial intelligence, and large language models against adversarial attacks, privacy issues, and safety incidents across various industries.