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What is Tenzir?

Tenzir serves as a dedicated data pipeline engine designed specifically for security teams, simplifying the collection, transformation, enrichment, and routing of security data throughout its lifecycle. Users can effortlessly gather data from various sources, convert unstructured information into organized structures, and modify it as needed. Tenzir optimizes data volume and minimizes costs, while also ensuring compliance with established schemas such as OCSF, ASIM, and ECS. Moreover, it incorporates features like data anonymization to maintain compliance and enriches data by adding context related to threats, assets, and vulnerabilities. With its real-time detection capabilities, Tenzir efficiently stores data in a Parquet format within object storage systems, allowing users to quickly search for and access critical data as well as revive inactive data for operational use. The design prioritizes flexibility, facilitating deployment as code and smooth integration into existing workflows, with the goal of reducing SIEM costs while granting extensive control over data management. This innovative approach not only boosts the efficiency of security operations but also streamlines workflows for teams navigating the complexities of security data, ultimately contributing to a more secure digital environment. Furthermore, Tenzir's adaptability helps organizations stay ahead of emerging threats in an ever-evolving landscape.

What is Data Taps?

Build your data pipelines like putting together Lego pieces with Data Taps, enabling you to integrate new metric layers and explore thoroughly while utilizing real-time streaming SQL for inquiries. Work alongside your colleagues to share and access data globally, making enhancements and adjustments to your system with ease. Adapt your setup to include diverse models and schemas while evolving your architecture as needed. Engineered for scalability, it harnesses the capabilities of AWS Lambda and S3 to ensure high performance. This adaptability empowers teams to respond swiftly to the dynamic requirements of data. Ultimately, this approach fosters innovation and collaboration in data management.

Media

Media

No images available

Integrations Supported

Amazon S3
Amazon Simple Queue Service (SQS)
Elasticsearch
Fluent Bit
Fortinet
Microsoft Defender for Cloud
OpenSearch
Python
Secberus
Sigma
Slack
Snowflake
Suricata
Syslog-ng
Velociraptor
YARA
Zeek
ZeroMQ
Zscaler

Integrations Supported

Amazon S3
AWS Lambda

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training

Training Options

Not specified

Company Facts

Organization Name

Tenzir

Date Founded

2017

Company Location

Germany

Company Website

tenzir.com

Company Facts

Organization Name

Data Taps

Date Founded

2023

Company Location

Finland

Company Website

www.taps.boilingdata.com

Categories and Features

Cloud Security

Not specified

Data Anonymization

Not specified

Data Pipeline

Not specified

Data Security

Not specified

Log Management

Not specified

Observability

Not specified

Telemetry

Not specified

Categories and Features

Big Data

Not specified

Data Pipeline

Not specified

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