Establishing an effective cyber threat hunting program is among the top priorities of enterprise security leaders seeking a proactive approach to detecting and counteracting potential threats. Furthermore, implementing a proactive threat hunting program, security teams that leverage formalized frameworks or threat hunting methodologies are far more likely to detect vulnerabilities or in-process malicious activities in their environments than those that do not.

Today’s enterprise networks are diverse and complex. Rather than the simple network perimeter of old, bad actors can attack through multiple entry points, including cloud-based applications. Not to mention, these networks generate massive amounts of transactional data. Because enterprise networks have become larger, they’re more difficult to secure and manage.

A SIEM system (Security Information and Event Management) is often used by security operations centers (SOCs) for real-time detection of suspicious activity and security events. While some teams choose to adopt a purpose-built SIEM, others rely on the same DevOps tools they are already using for tasks like troubleshooting and operational log data analysis.

Data retention policy will become a major focus for CIOs in 2021. Here’s why: First, enterprise organizations are producing larger volumes of data than ever before and utilizing enterprise data across a wider range of business processes and applications. To maximize its value, this data must be managed effectively throughout its entire life cycle - from collection and storage, through to usage, archiving, and eventually deletion.

This year, Amazon Web Services (AWS), a leading cloud services provider, announced a comprehensive security solution called Amazon Security Lake. In this blog post, we will explore what Amazon Security Lake is, how it works, the benefits for organizations, and partners you can leverage alongside it to enhance security analytics and quickly respond to security events. Image source: Amazon.