Tenzir is a data pipeline solution for optimizing cloud and data costs, running detections and analytics, building a centralized security data lake, or creating a decentralized security data fabric. The key abstractions in Tenzir are: Pipeline: A dataflow of operators for producing, transforming, and consuming data. The tenzir binary runs a pipeline stand-alone. Node: Manages pipelines. A node also has a custom storage engine built on top of Parquet/Feather partitions. The tenzir-node binary spawns a node. Platform: Offers a management layer for nodes. Nodes connect to the platform and you can manage them at app.tenzir.com. Check out our documentation for detailed setup instructions, user guides, and reference material.
FEATURES
EXPLORE BY TAGS
SIMILAR TOOLS
Proton Pass is a cross-platform password manager that provides encrypted storage, password generation, and security monitoring features with integrated 2FA and dark web monitoring capabilities.
BleachBit cleans files to free disk space and maintain privacy with various options and command line interface support.
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.
Simple C++ Encryption and Steganography tool for hiding files inside images using LSB encoding.
A command line tool for transparently hiding files within images using LSB steganography.
A tool for securely backing up and versioning production secrets or shared passwords
PINNED

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.