Themis
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.
FEATURES
EXPLORE BY TAGS
SIMILAR TOOLS
An advanced Content Disarm and Reconstruction software for enhancing computer safety by removing dynamic content from Office files.
Hide data in images while maintaining perceptual similarity and extract it from printed and photographed images.
Tenzir is a data pipeline solution for optimizing cloud and data costs, running detections and analytics.
A steganographic file system in userspace for plausible deniability of files.
A project focusing on deconstructing and utilizing data for security using Python modules like IPython, Pandas, and Scikit Learn.
PINNED
Mandos
Fractional CISO service that helps B2B companies implement security leadership to win enterprise deals, achieve compliance, and develop strategic security programs.
Checkmarx SCA
A software composition analysis tool that identifies vulnerabilities, malicious code, and license risks in open source dependencies throughout the software development lifecycle.
Orca Security
A cloud-native application protection platform that provides agentless security monitoring, vulnerability management, and compliance capabilities across multi-cloud environments.
DryRun
A GitHub application that performs automated security code reviews by analyzing contextual security aspects of code changes during pull requests.