Data classification is a vital component of any information security and compliance program, especially if your organization stores large volumes of data. It provides a solid foundation for your data security strategy by helping you understand where you store sensitive and regulated data, both on premises and in the cloud. Moreover, data classification improves user productivity and decision-making, and reduces storage and maintenance costs by enabling you to eliminate unneeded data.

The old security model, which followed the “trust but verify” method, is broken. That model granted excessive implicit trust that attackers abused, putting the organization at risk from malicious internal actors and allowing unauthorized outsiders wide-reaching access once inside. The new model, Zero Trust networking, presents an approach where the default posture is to deny access.

We’ve all been subjected to quaint media features that try to make business leaders seem like a joyful walk on the beach. They usually have a title like, “A Day in the Life of the CIO,” and they are laden with tropes that try to make the person relatable (“…and at 9:34 am, I finally get around to drinking that latte I got at Starbucks on the way into work!”), but truly the whole thing is just an annoying ploy to make you feel inadequate.

In the world of cybersecurity preparedness, there are a variety of strategies organizations large and small can take to help protect their networks and data from cyber-attacks. One such strategy involves an organization testing its own environment for security vulnerabilities. But because security weaknesses come in different forms, it’s necessary to have a focused security team that comprehensively searches for vulnerabilities that go beyond simple risk assessments.

By now, most are aware that the Covid-19 pandemic has led to a spike in cyberattacks. This sharp increase in malicious activity related to COVID has taken the typical form of adversaries seeking to benefit financially, gain unauthorized access to networks for immediate and long-term strategic benefit, and spread misinformation with political agendas.

Data is only as good as what you are able to do with it. Not only does the cybersecurity universe collect data, but individual enterprises also collect cybersecurity data from within their organization as well as from external sources in order to add to more context and relevance. All data needs to be analyzed in order to create actionable insights.

Integrating with APIs can be challenging. Each with its own documentation format, SDK patterns, and authentication quirks. Once you get the integration up and running, the harder step is testing and debugging any problems. This part can be exploratory—before you finish building—or as part of problem resolution.

In the last article, we discussed various types of reports a SIEM solution offers. We also threw light on how reports are arranged block-wise on Logsign SIEM along with other features. In this article, we explore how you can customize an existing report to suit your requirements. To start with, go to the Reports and Analysis section and select any report that you wish to customize.