Financial Cybersecurity: How High Quality Security Data Saves Costs & Boosts Detection

A recent article by IBS Intelligence covered interesting and important aspects of how our work in improving the quality of security data is especially relevant for the financial sector. Financial services are frequent targets of cyber threats, and have to spend a significant amount of resources on countering these threats. They also collect huge amounts of security data, partly for detecting and stopping incidents, and partly to meet compliance requirements and regulations.

The shift toward digital banking, open APIs, and cloud-first strategies has amplified the attack surface, necessitating advanced tools to manage security data efficiently. This is where companies like Axoflow come in, automating processes like data classification and enrichment to not only enhance security data quality but also optimise costs—an appealing proposition for banks and FinTechs managing constrained budgets.
IBS Intelligence

Axoflow can help in addressing both aspects:

• Automation and better data quality improve detection and require less manual work from security teams and detection engineers, thus freeing up resources.
• Data reduction and policy-based routing achieve up to 50% reduction in SIEM ingestion and storage costs.

If you are interested to learn more, our CEO Balázs Scheidler will be speaking about exactly this on the 15th Edition of the New York Cybersecurity Summit next month. We have a number of VIP tickets, reach out to me at [email protected] if you’d like one!

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