//Financial Services

Application and network traffic monitoring for financial services

Protect valuable assets with SIEM

Keeping your customers’ personal information secure is a given. Data breaches in the financial services industry can erode a customer’s trust, lead to loss of business, and can result in regulatory fines and other punishments.

But keeping that sensitive data secure can be a multi-sided challenge – attackers can come from both inside and outside of the company. Whether it’s someone in a dark apartment across the globe or a co-worker two desks away, there’s no endingattempts to gain access.

To protect your customer’s personal data and to ensure compliance, you need a solution that spots attacks, keeps track of insider and outsider activity and offers clear visibility into every corner of your network. LogPoint for application and network traffic monitoring is that solution.

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Get in touch with us and learn why leading brands choose LogPoint:

LogPoint for Matmut

LogPoint for Matmut customer case

With LogPoint, Matmut has:

  • improved event visibility across the entire IT architecture
  • reduced incident response time

By improving event visibility across the entire IT architecture, LogPoint has enabled 80-90% time savings in incident diagnostics, faster problem resolution and major improvements in the service quality for end-users.

LogPoint in financial services

Your organization uses sophisticated IT systems to support daily operations – you have to. The systems generate a massive number of events or “machine data” from applications, network devices, servers and infrastructure. LogPoint helps you make sense of it all, providing access to data within your complex IT systems with application and network traffic monitoring. The result? An increasing need for critical operational insight.

Analysis of the data helps you to uncover, manage and address cybersecurity threats and demonstrate compliance. What’s more, this visibility empowers you to improve operational processes and efficiency.

And to take it a step further, you’ll now have previously unachievable insights to IT activity, which will make you even more prepared to to detect and prevent unintentional or malicious attacks.

LogPoint SIEM use cases Executed malware payload

Identifying threat indicators associated with an executed malware payload

LogPoint’s FIM is an effective tool to monitor the creation of new files or change in file’s extension indicating malware payload execution. The hash value given by the Integrity Monitor can be compared to the Virus total database, identifying the associated threat.

LogPoint for User Activity Monitoring

User activity monitoring

User Activity Monitoring has long been the cornerstone of any efficient defense strategy. By design, LogPoint provides analysts with an intuitive and powerful tool to identify malicious activities, create alerts, dashboards, and reports so they can get an overview and counteract immediately. Primarily for data privacy and regulations, user activity monitoring focuses on activities associated with file access. LogPoint can monitor this using native object access audit records. Additionally, LogPoint’s FIM application monitors any access attempts to privileged file share systems and provides information on the type of access and the actions performed in the file. Additionally, the original and the altered checksums can also be compared to better understand access behavior.

Example

Object access attempts

Query

label=Object label=Access | chart count() by user, access, object order by count() desc

LogPoint for User Activity Monitoring
LogPoint SIEM detects Unauthorized Access

Spotting and tracking unauthorized network or systems access

LogPoint enables you to detect any suspicious and/or unauthorized network behavior such as connection attempts on closed ports, blocked internal connections, connections made to known-bad destinations, requests initiated from untrusted zones, suspicious system access and many more.

Example

Threats in higher privilege systems

Query

label=Connection label=Allow source_address IN PRIVILIGE_SYSTEMS | process ti(source_address)|search et_ip_address=* | rename et_category as category | chart count() by ip_address, category order by count() desc