Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Adversary Tradecraft: A Deep Dive into RID Hijacking and Hidden Users

Researchers at AhnLab Security Intelligence Center (ASEC) recently published a report on the Andariel threat group, a DPRK state-sponsored APT active for over a decade, that has been leveraging RID hijacking and user account concealment techniques in its operations to stealthily maintain privileged access to compromised Windows systems.

Using Streaming Data for Cybersecurity

After a long day, you sit down on the couch to watch your favorite episode of I Love Lucy on your chosen streaming platform. You decide on the episode where Lucy can’t keep up with the chocolates on the conveyor belt at the factory where she works. Without realizing it, you’re actually watching an explanation of how the streaming platform – and your security analytics tool – work. Data streaming is the real-time processing and delivery of data.

Autonomous Adversaries: Are Blue Teams Ready for Cyberattacks To Go Agentic?

2024 was a year of incredible progression for Artificial Intelligence. As large language models (LLMs) have evolved, they have become invaluable tools for enriching the capabilities of defenders – instantly providing the knowledge, procedures, opinions, visualizations, or code any given situation demands. However, these same models provide outputs that enable even low-sophistication attackers to uplift their own skill-levels.

Centralized Log Management for NIS2 Directive Compliance

As digital transformation expands the threat landscape, compliance mandates adapt to meet new challenges. In 2020, the European Commission announced its decision to accelerate its revision of the Directive on Security of Network and Information Systems (NIS2). When carrying out its impact assessment, the Commission realized that it needed to update the NIS Directive in response to new risks.

Using Data Pipelines for Security Telemetry

It’s a warm, sunny day as you lie in the sand under a big umbrella. Suddenly, you feel the waves crashing against your feet, only to look down and see numbers, letters, usernames, and timestamps. You try to stand up, but you feel the tide of big data pulling you under… With a jolt, you wake up, realizing that you were having another nightmare about your security Data Lake and analytics.

Matching AI Strengths to Blue Team Needs

Much has been written about how AI, particularly Large Language Models (LLMs), will transform cybersecurity. Some say it'll be for the worse, and some say it'll be for the better. Although SURGe firmly believes that AI will end up helping defenders much more than it helps threat actors, it's sometimes hard to envision the exact form in which this help will, or should, come.

Logs Are for Campfires: Splunk's Asset and Risk Intelligence Leaves No Vulnerability Undiscovered!

Splunk Asset and Risk Intelligence empowers organizations to identify and address vulnerabilities in their security posture proactively. By leveraging key compliance framework controls and providing customizable dashboards and metrics, ARI offers clear visibility into assets missing critical security controls. This allows organizations to proactively close gaps in security controls, regardless of the regulatory frameworks they must comply with.

DNS Security Best Practices for Logging

Your Domain Name System (DNS) infrastructure enables users to connect to web-based resources by translating everyday language into IP addresses. Imagine going into a restaurant, in the age before the internet, only to find that the staff speaks and the menu is written in a different language from yours. Without some shared communication form, you can’t order dinner, and they can’t give you what you want.

Redacting Message Fields for Privacy Purposes

Many organizations today have strict data privacy regulations that they must comply with. These privacy regulations can often clash with the requirements of security, application and operations teams who need detailed log information. This how to guide walks you through redacting message fields for privacy purposes. At Graylog, many of the organizations who use our tool are logging sensitive data that may contain personally identifiable information, health related data or financial data.