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Axoflow Secures $7 Million to Enhance Security Data Curation

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Axoflow, a Budapest-based startup, is addressing this challenge with its innovative security data curation pipeline. The company recently secured $7 million in seed funding to further develop its platform, aiming to make security data more accessible and manageable for organizations worldwide.

Axoflow Secures $7 Million to Enhance Security Data Curation
image credit: Axoflow

Company Overview

Founded by Balázs Scheidler, a seasoned entrepreneur in the cybersecurity domain, Axoflow is dedicated to automating the collection, management, and ingestion of security data. The platform is designed to classify, parse, and route data efficiently, ensuring that it arrives in a destination-optimized format without the need for additional coding. This approach not only enhances data quality but also significantly reduces the complexity and costs associated with security data management.

Read also: Matchory Secures €6M to enhance its AI-driven supplier discovery

Funding Details

The $7 million seed funding round led by EBRD Venture Capital with Credo Ventures underlines the investor confidence in Axoflow’s vision and technological capabilities. The investment will drive growth and open avenues for expansion in features and reach for the company’s platform.

Strategic Objectives

Axoflow intends to achieve the following with the new funding secured:

  • Enhance Platform Capabilities: Invest in the development of new features, including the integration of additional data sources and advanced analytics, to provide users with more comprehensive security data solutions.
  • Expand Market Reach: Strengthen its presence in the global cybersecurity market by reaching a broader audience and establishing itself as a leader in security data curation.
  • Promote Data Quality and Cost Efficiency: Continue to focus on improving security data quality while reducing associated costs, enabling organizations to detect and respond to threats more effectively.

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Innovative Technology

Axoflow’s platform leverages artificial intelligence and machine learning to automate the curation of security data. By collecting data through zero-maintenance connectors, the platform monitors the flow of telemetry data, classifies and curates it in the pipeline, and converts it to a destination-optimized format. This process ensures that the data is immediately actionable upon arrival, reducing the need for manual intervention and minimizing the risk of errors.

Impact on Cybersecurity

By automating the curation of security data, Axoflow addresses several key challenges in cybersecurity:

  • Improved Threat Detection: High-quality, curated data enables security teams to detect and respond to threats more quickly and accurately.
  • Cost Reduction: The platform’s ability to reduce data volume by more than 50% leads to significant cost savings in data ingestion and storage.
  • Operational Efficiency: Automating data curation reduces the burden on security professionals, allowing them to focus on strategic initiatives rather than manual data management tasks.

Leadership Perspective

Balázs Scheidler, co-founder and CEO of Axoflow, brings a wealth of experience to the company. As a serial entrepreneur in the observability universe, his leadership is instrumental in driving Axoflow’s mission to revolutionize security data management.

Read also: Render Secures $80M to Accelerate Cloud Application Platform Growth

Future Outlook

As Axoflow moves forward with the development and expansion of its platform, the company is poised to play a pivotal role in the evolution of cybersecurity data management. By offering a solution that combines automation, accuracy, and cost efficiency, Axoflow is set to meet the growing demand for innovative security data curation tools in an increasingly complex digital landscape.

Summary

Axoflow, a Hungarian cybersecurity startup, has raised $7 million in seed funding to advance its AI-driven security data curation platform. The investment will support the company’s mission to improve security data quality and reduce associated costs.

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