Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

If you’ve been following our series on the PEAK threat hunting framework, you might already know that the purpose of threat hunting isn’t just to find security incidents your automated detection systems missed. Finding incidents is more like a helpful side effect. The real reason to hunt is to drive improvement to your security posture over time.

Modern enterprises are fraught with dangers and vulnerabilities that were rare even a decade ago. Cyber threats are becoming more frequent and sophisticated, and even the most secure organizations are falling victim to their attacks. In this landscape, a proactive security stance is crucial. That is where the 3Rs of enterprise security — Rotate, Repave, and Repair — offer your organization a critical advantage.

Bots have become integral to our lives, offering many benefits across various industries. Of all these bots, there are good bots, bots for telling dad jokes and (significantly less cool) bots focused on distributing malware. Understanding the types of bots out there should help you harness the power of good bots while helping you identify bots to avoid. This article will explore all types of bots, empowering you to make informed decisions and reap the rewards while keeping risks at bay.

The Amadey Trojan Stealer, an active and prominent malware, first emerged on the cybersecurity landscape in 2018 and has maintained a persistent botnet infrastructure ever since. Several campaigns have used this malware, like the previous Splunk Threat Research blog related to RedLine loader, the multi-stage attack distribution article from McAfee in May 2023 and the campaign where it uses N-day vulnerabilities to deliver Amadey malware noted in March 2023 by DarkTrace.

We are extremely excited to introduce a new addition to the Splunk unified security operations experience: Splunk Attack Analyzer (formerly Twinwave), which automates threat analysis of suspected malware and credential phishing threats by identifying and extracting associated forensics to provide accurate and timely detections. SOC analysts continue to struggle to work across many security tools to help them understand and address threats targeting the organization.

We’re all juggling more complexity than ever before. Chances are you’re being pulled in multiple directions, working across teams and dealing with more tools than you’d like to. We know you want to keep everything running smoothly and don’t want to focus your time on setting things up, especially when you’re probably dealing with other fires.

Networks are the data highways upon which you build your digital transformation infrastructure. Like interstate highways transmit goods, networks transmit data. Every connected user and device is a network digital on-ramp. When malicious actors gain unauthorized access to networks, organizations must detect and contain them as quickly as possible, requiring security analysts to embark on a digital high-speed chase.

When I started Resurface, my core thesis was that web and API security brought unique requirements requiring purpose-built data systems. Using Splunk at scale for API monitoring was/is prohibitively expensive. Using Hadoop or Kafka requires a nerd army to run at any scale. Few data platforms include a mature web or API monitoring model, so this has to be custom-overlaid at significant expense.