Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Use Of Artificial Intelligence In Threat Intelligence

Artificial Intelligence (AI) is a double-edged sword in cybersecurity, empowering both defenders and attackers. AI-driven security systems are often used to detect threats in real-time, analysing large datasets for anomalies, and automating responses to cyberattacks. However, cybercriminals are also leveraging AI to create advanced malware, automate phishing attacks, and evade traditional defenses.

Is that Ra? Nope, it is RaaS - DLS emerges for New Extortion Group Anubis

In 2024, Cyjax observed the emergence of 72 extortion and ransomware group data-leak sites (DLSs). As of late February 2025, Cyjax has identified DLSs for six new groups in 2025, as noted in recent blogs on extortion groups Kraken, Morpheus, GD LockerSec, Babuk2, and Linkc. The latest DLS which Cyjax has identified is named Anubis. This Ransomware-as-a-Service (RaaS) group appears to be sophisticated and professional, providing services including affiliates, data ransoms, and access monetisation.

How's that for a malicious Linkc, new group launches DLS

2024 saw data-leak sites (DLSs) for 72 extortion groups materialise. As of February 2025, Cyjax has identified DLSs for five new groups, as noted in recent blogs on extortion groups Kraken, Morpheus, GD LockerSec, and Babuk2. The fifth one to emerge goes by the name Linkc. Read on to find out what Cyjax knows so far about this new entrant into the data leak extortion scene.

What is the MITRE ATT&CK Framework?

The MITRE ATT&CK (Adversarial Tactics, Techniques, and Common Knowledge) framework was developed in 2013 to document the tactics and techniques used by adversaries in cyberattacks. Initially an internal tool for threat detection, it became publicly available in 2015 to support the cybersecurity community. Over time, it has evolved into a comprehensive resource that describes adversary behaviours during attacks.

A Guide to Working in Threat Intelligence

According to Gartner Research and McMillan (2003), “Threat intelligence is evidence-based knowledge, including context, mechanisms, indicators, implications, and actionable advice, about an existing or emerging hazard to assets that can inform decisions on how to respond.” Threat intelligence involves analysing data to predict and prevent cyber threats, allowing organisations to identify risks early and implement proactive defences.

What are Advanced Persistent Threats (APTs)?

Threat actors often use techniques such as phishing, lateral movement, and zero-days to gain and maintain access to systems. The increased sophistication of advanced persistent threat (APT) groups compared to other attackers means that long-term infiltration, careful exfiltration of data, and manipulation of systems without detection is often observed.

The Need for Contextualised Threat Intelligence

In today’s digital landscape, cyber threats are evolving at an unprecedented pace, growing more sophisticated and harder to detect. With each passing day, businesses and individuals alike find themselves navigating an increasingly complex threat environment. This complexity isn’t just about the number of attacks, it’s about their evolving tactics, the widening attack surface, and the sheer difficulty of distinguishing real threats from background noise.

2024 Year in Review: ransomware groups, hacktivists, and IABs targeting the Middle East

This report will provide an overview of the various extortion groups, hacktivists, and initial access brokers (IABs) targeting the Middle East throughout 2024 and highlight the relevant observed trends. Specifically, this report will look at incidents affecting Egypt, Iran, Iraq, Saudi Arabia, Yemen, Syria, Jordan, United Arab Emirates, Israel, Lebanon, Oman, Kuwait, Qatar, and Bahrain.