Themis is an open-source high-level cryptographic services library for securing data during authentication, storage, messaging, network exchange, etc. Themis solves 90% of typical data protection use cases that are common for most apps. Themis helps to build both simple and complex cryptographic features easily, quickly, and securely. Themis allows developers to focus on the main thing: developing their applications. Use cases that Themis solves: - Encrypt stored secrets in your apps and backend: API keys, session tokens, files. - Encrypt sensitive data fields before storing in database ("application-side field-level encryption"). - Support searchable encryption, data tokenization and data masking using Themis and Acra. - Exchange secrets securely: share sensitive data between parties, build simple chat app.
A demonstration of a method to delete a locked executable or currently running file from disk.
Tenzir is a data pipeline solution for optimizing cloud and data costs, running detections and analytics.
Microsoft SEAL is a homomorphic encryption library that allows computations on encrypted data without decryption, supporting integer and approximate real number arithmetic.
A tool for recovering files by scanning block devices and extracting them based on 'magic bytes' in file contents.
A tool for creating cryptographically strong volumes that destroy themselves upon tampering or via issued command.
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.
Stay ahead in cybersecurity. Get the week's top cybersecurity news and insights in 8 minutes or less.
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.
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.