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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 BALMAS AI?

BALMAS AI functions as a dedicated solution for anonymizing documents before they are shared with AI assistants. It supports various file formats such as PDF, Word, Excel, PowerPoint, TXT, and CSV, all accessible through a web browser, while effectively identifying sensitive information like names, identification numbers, phone numbers, corporate data, financial information, and API keys. Users can review the detected information and choose to keep, replace, or remove these details, after which they can download a cleaned version of the document in its original format. The tool offers three levels of cleansing, and the Pro version features a Round-Trip Restore function that permits users to reintegrate original data into outputs produced by AI. Furthermore, a local, read-only MCP server is available for anonymizing files, which can be accessed by compatible AI agents. BALMAS AI is designed for both individuals and organizations seeking to reduce the risk of exposing confidential data while using AI technologies, thereby promoting safer interactions with digital tools. This functionality not only fortifies security and privacy for users’ information but also positions BALMAS AI as an indispensable asset in the contemporary data-centric environment. By prioritizing data protection, it empowers users to confidently leverage AI capabilities without compromising their sensitive information.

Media

Media

No images available

Integrations Supported

Amazon S3
Amazon Security Lake
Amazon Simple Queue Service (SQS)
Apache Parquet
Azure Blob Storage
ClickHouse
Elasticsearch
Fluent Bit
Fortinet
Google Cloud Pub/Sub
Graylog
Microsoft Defender for Cloud
Python
Snowflake
Suricata
Syslog-ng
Velociraptor
YARA
ZeroMQ
Zscaler

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

₪0
The Free plan includes up to 10 documents per month. Paid Pro and Team plans provide higher limits and additional features, with annual billing available.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

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

BALMAS AI

Company Website

balmasai.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

Data Anonymization

Not specified

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