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What is Secberus?

The Secberus Compliance Mapping AI API is a robust, API-centric solution designed to integrate real-time compliance data effortlessly into security workflows and Security Operations Center (SOC) processes. It adeptly links alerts, findings, policies, and various unstructured data to over 230 compliance frameworks, including SOC 2, ISO 27001, NIST, HIPAA, and PCI DSS, achieving this task with remarkable speed and reliability. This Mapping API enhances current governance, risk, and compliance (GRC) frameworks by addressing a specific challenge: infusing compliance context into the SOC and automating the mapping of findings before they reach compliance teams. It connects directly with Security Information and Event Management (SIEM) systems, data pipelines, scanning tools, and ticketing systems, delivering structured JSON mappings in real time. As a stateless and deterministic solution, the Mapping API guarantees that customer information is not stored or utilized for training. By automating the mapping process during data ingestion, organizations can significantly decrease manual tasks, accelerate audit processes, and ensure a consistent comprehension of controls across various systems. As a result, this innovation fosters enhanced operational efficiency and simplifies the overall compliance management journey, allowing teams to focus more on strategic initiatives rather than administrative burdens.

What is Data Quality Validator (DQV)?

DQV is an all-encompassing platform for data quality and testing, designed by Kumaran Systems, specifically for teams managing, masking, or validating large datasets. This sophisticated tool systematically assesses both source and target datasets on a granular level, pinpointing inconsistencies and generating comprehensive mismatch reports, thereby removing the necessity for tedious manual verification through spreadsheets. It boasts five essential features: it conducts field-level comparisons while identifying drift, enables migration mapping across diverse schemas, provides deterministic PII masking, performs validation at both record and table levels with the capability for immediate corrections, and creates synthetic data for teams without access to production environments for testing purposes. DQV supports a variety of data sources, such as SQL Server, Oracle, MySQL, PostgreSQL, AWS, Azure, GCP, flat files, JSON, XML, and REST APIs, and it integrates effortlessly with tools like Informatica, Databricks, and CI/CD pipelines. Alternatively, it can function independently as a library or command-line interface tool. In practical scenarios, DQV has demonstrated impressive performance by successfully validating 26.6 million bank records in under 22 minutes, underscoring its remarkable efficiency. Furthermore, it offers a free trial along with diverse licensing choices, including individual, enterprise, and on-premises plans, catering to the varied needs of organizations. This adaptable solution not only improves data integrity but also simplifies the testing workflow across multiple platforms, making it an invaluable asset for data management teams.

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Integrations Supported

Apache NiFi
Cribl Stream
DataBahn
Edge Delta
Fluent Bit
Logstash
Panther
Tenzir
Vector by Datadog

Integrations Supported

Apache NiFi
Cribl Stream
DataBahn
Edge Delta
Fluent Bit
Logstash
Panther
Tenzir
Vector by Datadog

API Availability

Has API

API Availability

Has API

Pricing Information

$99/1 API Key/10k mappings/mo
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Secberus, Inc.

Date Founded

2017

Company Location

United States

Company Website

secberus.ai

Company Facts

Organization Name

Kumaran Systems

Date Founded

1992

Company Location

United States

Company Website

kumaran.com/products/dqv/

Categories and Features

Compliance

Archiving & Retention
Artificial Intelligence (AI)
Audit Management
Compliance Tracking
Controls Testing
Environmental Compliance
FDA Compliance
HIPAA Compliance
ISO Compliance
Incident Management
OSHA Compliance
Risk Management
Sarbanes-Oxley Compliance
Surveys & Feedback
Version Control
Workflow / Process Automation

Categories and Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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