Key Takeaways:

• Google’s New Naming System:To combat confusion, Google has revamped its cybersecurity threat intelligence naming, moving away from numeric APT designations to a more intuitive system: a memorable, random first name combined with a second word whose initial indicates the country of origin (e.g., Castle for China, Relic for Russia).
• The Imperative of Naming:Assigning consistent names to hacking groups is crucial for effective cybersecurity. It enables organizations to build a baseline understanding of threat actors, anticipate their tactics, techniques, and procedures (TTPs), and accelerate incident response and preparedness.
• Persistent Industry Challenge:Despite Google’s internal unification of its threat intelligence (Mandiant and Threat Analysis Group), a universal naming standard across the cybersecurity industry remains elusive. This is largely due to each company possessing unique data sets and an incomplete, yet distinct, view of the global threat landscape.

Google’s New Lexicon for Cyberthreats: Bringing Order to the Digital Chaos

For over a decade, the cybersecurity industry has grappled with the complex task of identifying and naming the myriad hacking groups that operate globally. From the notorious “Fancy Bear” to the more arcane “APT” designations, these names, or lack thereof, have often led to a labyrinth of confusion for security professionals, government officials, and the public alike.

The challenge is significant. Every cybersecurity firm, intelligence agency, and independent researcher often develops its own nomenclature, creating a bewildering landscape where a single threat actor might be known by half a dozen different aliases. This fragmentation impedes critical information sharing, slows down threat intelligence, and ultimately, hinders collective defense efforts.

Rewriting the Rulebook: Google’s Ambitious Revamp

Last month, Google stepped into this naming quagmire with a decisive move, announcing a comprehensive revamp of its own system for identifying hacking groups. This initiative aims to streamline and clarify the often-opaque world of cyber attribution, particularly for those tracking state-sponsored activities.

Gone are the days of the numerical “APT” (Advanced Persistent Threat) system, a pioneering scheme adopted by Mandiant, the security firm now integrated into Google’s vast ecosystem. While Mandiant’s “APT1,” “APT41,” or “APT *whatever number*” system was foundational in its time, it contributed to the growing sprawl of names, making it increasingly difficult for even industry insiders to keep track.

Google’s new approach is designed for simplicity and immediate recognition. A hacking group will now be assigned a memorable, random first name, followed by a second word whose initial letter unequivocally indicates the country of origin. For instance, “Castle” will denote China, “Ion” will signify Iran, “Neptune” will point to North Korea, and “Relic” will identify Russia. This elegant solution aims to inject clarity where previously there was often ambiguity.

The ‘Why’ Behind the Names: More Than an Academic Exercise

According to Shane Huntley, Chief Technology Officer of Google Threat Intelligence Group, the company’s in-house hacker hunting team, this revamp was not merely an aesthetic choice but a necessary step to bring greater clarity to security researchers, both within Google and across the broader industry. Huntley revealed to TechCrunch that when companies first began publishing reports on cyberattacks in the early 2010s, “we were not expecting to have as many threat groups as we do today.”

The sheer volume of threat actors has exploded. Google now actively tracks over 5,000 “activity clusters” across numerous countries, as noted by John Hultquist, Chief Analyst at Google Threat Intelligence Group. Huntley emphasized that today, very few developed nations lack their own sophisticated cyber capabilities and associated hacking groups, underscoring the global proliferation of state-sponsored cyber activity.

But what is the fundamental purpose of assigning names to these shadowy groups? Huntley explains that it transcends mere academic interest. The primary goal is to establish a foundational understanding: who is attacking whom, and how are they doing it? This intelligence forms the bedrock upon which organizations can more quickly recognize emerging threats, proactively prepare their defenses, ideally stop attacks before they succeed, or at the very least, investigate incidents with greater speed and precision.

“If you actually get hacked by them or you’re dealing with some incident, knowing how that actor behaves, what they do, what they’ve done in the past, all of these details become critically important to help the response and also work out your coverage against these threats as well,” Huntley stressed. Knowing, for example, the typical behaviors, objectives, and state sponsors of groups like the North Korean government hackers known as the Lazarus Group provides defenders with an indispensable head start in formulating effective countermeasures.

The Nuances of Tracking: State-Sponsored vs. Cybercriminals

While tracking state-sponsored hackers presents its own set of formidable challenges, Huntley points out that it is generally more straightforward than monitoring the highly fluid world of cybercriminal groups and hackers-for-hire. State-backed actors tend to exhibit more consistent targets, motivations, and operational methodologies, often aligned with national strategic objectives.

Conversely, cybercriminal organizations are notoriously amorphous. Their memberships often fluctuate, groups can splinter, merge, or rebrand, and their targets are typically opportunistic and profit-driven. Hacker-for-hire groups and developers of sophisticated spyware further complicate the landscape, serving a diverse array of clients globally, making their activities harder to pinpoint and attribute definitively.

The Elusive Unified Standard: Why a Common Code Remains a Dream

A recurring critique whenever a new naming system is introduced is the question: why can’t all companies and organizations simply agree on and use the same codenames? While seemingly a straightforward solution, the reality is far more complex. Each cybersecurity firm possesses a slightly different, often unique, vantage point derived from its proprietary data, telemetry, client base, and analytical methodologies.

As Huntley articulates, “No one has perfect visibility.” He elaborates that while individual entities strive to build their most accurate models and understandings of the threat landscape, a complete, omniscient view is unattainable. This inherent limitation means that even with increased information sharing, a fully unified naming scheme across the entire industry remains an aspirational, rather than a practical, goal. Each company’s “intelligence picture” is a mosaic built from its specific data points, leading to nuanced, and sometimes divergent, interpretations of threat actor identities and activities.

A Step Towards Internal Clarity

Despite the broader industry challenge, Google’s initiative marks a significant step towards internal clarity. By unifying the naming schemes of its former Threat Analysis Group (TAG), which Huntley previously led, and Mandiant, Google has at least eliminated one significant source of internal confusion. For those outside Google still navigating the vast, disparate world of hacker group names, resources such as comprehensive lists that cross-reference different naming conventions remain essential tools for making sense of “who is who” in the global cyber arena.

Bottom Line:

Google’s overhaul of its threat actor naming convention is a pragmatic and necessary response to the escalating complexity of the cyber threat landscape. By moving to a more intuitive system that clearly links threat actor names to their suspected country of origin, Google aims to enhance clarity, accelerate threat intelligence, and improve defensive postures for its own teams and, hopefully, inspire greater consistency across the industry. While a truly universal naming standard may remain an elusive goal due to the fragmented nature of global intelligence gathering, this initiative represents a significant stride in simplifying internal attribution and underscoring the critical importance of a clear, consistent lexicon in the ongoing battle against sophisticated cyber adversaries.