Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Threat Detection

Spotting Log4j traffic in Kubernetes environments

Editor’s note: This is the latest in a series of posts we have planned over the next several weeks where we explore topics such as network monitoring in Kubernetes, using sidecars to sniff and tunnel traffic, show a real-world example of detecting malicious traffic between containers, and more! Please subscribe to the blog, or come back for more each week.

Datadog on Detecting Threats using Network Traffic Flows

At Datadog’s scale, with over 18,000 customers sending trillions of data points per day, analyzing the volume of data coming in can be challenging. One of the largest log sources internally at Datadog are networking logs. Being able to analyze and make sense of them is critical to keep Datadog secure. To help with the task, we have built a flow analysis pipeline that alerts against network level Indicators of Compromise (IOCs) like IP address, port combinations, and data exchanged.

Network evidence for defensible disclosure

What do I say if my team discovers a breach of our digital assets? This is a question that requires understanding “defensible disclosure,” a term first employed in the statistical, medical, legal, and financial communities.* Understanding what this term means and how to live up to its expectations is key in an age where organizations regularly handle intrusions and, sometimes, suffer breaches.

Unify endpoint and network evidence

Unmanaged endpoints, vendor security appliances, cloud instances, and IoT devices often lack endpoint protection, creating hiding places that attackers exploit. Using Humio to correlate Falcon endpoint data with Corelight network evidence improves detection capabilities for all of your devices, and makes investigators and hunters faster.

What does XDR mean for your organization?

As one of the hottest new buzzwords in the infosec space, XDR means many things to many people. This talk will discuss all of the possible components of an XDR solution through the lens of SOC operations, laying out the pros and cons of various approaches such as SaaS vs on-premise, specialized vs general tooling, etc. for organizations of different size, funding, and maturity levels. Best practice suggestions will be provided throughout, from general principles to specific integration code.

Network Evidence For XDR

XDR - Extended detection and response - promises to integrate data from any source to stop today's sophisticated and often automated attacks. The key is: Which source? Register for this exclusive session for insights on why network evidence must be a key part of your XDR strategy. Topics to be discussed include how to: Walk away with new ideas on how to stay ahead of ever-changing attacks by using a data-first strategy for detection and response.

Why Managed Detection and Response is a Key Component to any Security Plan

The overnight move to remote and hybrid work models instantly created a more complex infrastructure for many organizations as they shifted their workers from corporate offices to their homes. The threat surface expanded exponentially as devices moved off-prem and into potentially unsecured environments and grew again as workers added their own devices to the mix.

Understanding Suspicious User Types With UEBA

The cybersecurity threat landscape is evolving rapidly. Hackers and other malicious users are becoming increasingly sophisticated in their attack methods, rendering traditional security tools obsolete. Modern cybercriminals will use any means to break into firewalls, send emails with infected attachments, or even bribe employees to share login credentials. Businesses in all industries must identify and implement comprehensive IT security tools and strategies to protect their valuable assets.