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February 13, 2022

REvil's Ransomware Business Model & Staying Ahead with AI

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13
Feb 2022
Learn more about REvil by exploring a REvil ransomware campaign discovered by Darktrace's AI. Find out how the recent arrests impact cyber security.

REvil, also known as Sodinokibi, is a Ransomware-as-a-Service (RaaS) gang responsible for one of the largest ransomware attacks in history. On 14th January 2022, Russia announced it had arrested 14 members of the criminal gang. The move came at the request of the US authorities, who have worked hard with international partners to crack down on the gang. Last year, multiple high-profile attacks were attributed to the REvil group, including the JBS ransomware and Kaseya supply chain incidents.

The arrests are certainly a victory for western law enforcement agencies, and follows November’s announcement from Europol that seven arrests of REvil affiliates had been made in the preceding months. The question is: to what extent will these arrests disrupt the gang’s operations, and for how long?

Early indications from security researchers at ReversingLabs indicates REvil activity has been unaffected. Statistics on REvil implants two weeks after the Russian arrests are unchanged, and if anything indicate a modest increase.

This continued activity implies one of two scenarios:

  • The flurry of arrests have only impacted ‘middle men’ within the criminal gang’s hierarchy
  • REvil’s ransomware-as-a-service model is resilient enough to survive disruption from law enforcement

Both scenarios are worrisome to those who may fall prey to ransomware gangs, and the reality is likely to be a far more complex mixture of these and other factors. The crackdown on ransomware is long overdue, but the battle is likely to be a long one. Law enforcement agencies need to disrupt the business model to such an extent that it no longer becomes profitable or favorable to be in the ransomware business, and this is likely to take months or even years.

So as the crackdown on ransomware plays out on the biggest stage, what comfort, if any, can security teams take from recent events?

Staying ahead of the evolving RaaS model with AI

A joint report on ransomware issued recently by the FBI, CISA, the NCSC, the ACSC and the NSA highlighted key trends over the past year:

  • RaaS has become increasingly professionalized, with business models and processes now well established.
  • The business model complicates attribution because there are complex networks of developers, affiliates, and freelancers.
  • Ransomware groups are sharing victim information with each other, diversifying the threat to targeted organizations.

In summary, the report illuminates how ransomware gangs have become increasingly adaptable when it comes to evading law enforcement and maximizing profit from ransom payments. Multiple groups have faded away, or retired, only to reappear under a different name and with a slightly updated playbook. The tactics, techniques, and procedures (TTPs) differ from victim to victim, largely because attacks are conducted by different ransomware operators and affiliates.

This is troubling for law enforcement bodies trying to crack down on the individuals behind these attacks. When a RaaS group like REvil consists of an amorphous and ever-changing web of associates, making individual arrests is a constant game of catch up, and will be unlikely to bring down the group as a whole.

The same battle is being played out on the scale of individual attack campaigns. Security tools focused on the hallmarks of previously encountered threats are also in a continuous state of catch up: by the time a single attack is detected, fingerprinted, and stored for next time, attackers and their techniques have moved on.

But there is another option available to defenders, who are increasingly turning to Self-Learning AI to stay one step ahead of attackers. By learning its digital surroundings and identifying subtle deviations indicative of an attack, this technology can detect and respond to novel attacks on the first encounter. Below is an example of how Self-Learning AI detected an attack launched by REvil without the use of rules or signatures.

REvil threat find

In the summer of 2021, a REvil affiliate launched an attack against a health and social care organization – a sector that has seen a big increase in cyber-attacks since the start of the global pandemic. While the attack was detected by Darktrace’s AI without using rules or signatures, the security team was not monitoring Darktrace at the time. In the absence of Autonomous Response – which would have taken targeted action to contain the threat – the attack was allowed to progress.

After gaining access to the network via the laptop of a remote worker, the attacker was able to abuse a legitimate remote desktop (RDP) connection to a corporate jump server to bruteforce additional credentials.

Once equipped with more credentials, the attacker connected to multiple internal devices via RDP, including a second jump server. Data exfiltration began from the initially compromised server over RDP port 3389.

Two weeks later, the attacker identified the organization’s crown jewels, stored on a third server, and attempted to initiate command and control (C2) communications. The server made a number of unusual external connections, including attempts to connect to a rare domain that resembled the pattern of activity associated with REvil’s earlier Kaseya ransomware campaign.

Darktrace for Endpoint, which was running on remote user devices, provided additional visibility, enabling the security team to determine the initially compromised user device. Had Antigena been active on the endpoint, it would have intervened to stop this unusual activity by blocking the specific unusual connections – containing the attack without impacting normal business operations.

Connecting the dots of a low-and-slow attack

The total dwell time of the attacker was 22 days. They were patient, and undertook actions in bursts of activity often with days in between. This pattern of behavior is not uncommon for ransomware attacks, particularly those using the RaaS model in which each step may be performed by different gang members or affiliates.

Darktrace’s Cyber AI Analyst was able to track in real time the complete attack lifecycle over several weeks, stitching together the separate phases of the attack into a coherent security incident.

Figure 1: Cyber AI Analyst reveals the complete attack kill chain

New name, same game

This attack is another case of threat actors living off the land: using legitimate programs and processes that were already in use in the environment to perform malicious activity. This can be very difficult to detect with traditional tools that are based on static use cases and cannot differentiate a legitimate RDP session from a malicious one.

As cyber-criminal groups like REvil continue to defy law enforcement efforts, defenders need to stay ahead with AI technology that learns its environment, adapts as it changes and grows, and responds to threats based on subtle deviations that indicate an emerging attack. Autonomous Response has been adopted by over thousands of organizations across all areas of the digital estate – from email and cloud services to endpoint devices, stopping ransomware attacks early, before encryption is achieved.

Thanks to Darktrace analyst Petal Beharry for her insights on the above threat find.

Technical details

Darktrace model detections:

  • Device / RDP Scan
  • Device / Bruteforce Activity
  • Compliance / Outbound Remote Desktop
  • Anomalous Connection / Upload via Remote Desktop
  • Anomalous Connection / Download and Upload
  • Anomalous Connection / Uncommon 1 GiB Outbound
  • Anomalous Connection / Active Remote Desktop Tunnel
  • Device / New or Uncommon SMB Named Pipe
  • Device / Large Number of Connections to New Endpoints

Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Author
Oakley Cox
Director of Product

Oakley is a Product Manager within the Darktrace R&D team. He collaborates with global customers, including all critical infrastructure sectors and Government agencies, to ensure Darktrace/OT remains the first in class solution for OT Cyber Security. He draws on 7 years’ experience as a Cyber Security Consultant to organizations across EMEA, APAC and ANZ. His research into cyber-physical security has been published by Cyber Security journals and by CISA. Oakley has a Doctorate (PhD) from the University of Oxford.

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March 19, 2025

Global Technology Provider Transforms Email Threat Detection with Darktrace

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At a glance

  • Within just one month of using Darktrace / EMAIL, the volume of suspicious emails requiring analyst attention dropped by 75%, saving analysts 45 hours per month on analysis and investigation.
  • By offloading most manual, repetitive tasks to Darktrace / EMAIL, the company’s skilled security analysts can focus on developing new capabilities and tackling more complex, rewarding projects.
  • Darktrace recently detected and blocked a highly sophisticated and personalized phishing email that spoofed a Microsoft SharePoint and Teams website and used advanced engineering to impersonate the school of an employee’s family member.
  • The transition from the incumbent solution to Darktrace / EMAIL was seamless and undetectable to the company’s vast of customers and partners, reinforcing the security organization’s role as a business enabler—protecting the company and reducing risk without adding friction.

Securing a complex, distributed business without disruption

The company remains at the forefront of technological innovation and transformation; however, its success and ambitions come with the challenges of managing a distributed global business—balancing digital advancements, existing technology investments, and evolving compliance requirements.

Optimizing a complex tech stack for scalable growth

The organization operates a diverse technology stack spanning Windows, Mac, Linux, and multiple cloud environments, creating a complex and challenging IT landscape. The company’s Chief Information Security Officer (CISO) emphasizes the need for efficiency and agility. “Our goal is to scale and deliver new capabilities without increasing headcount, ensuring that costs remain proportionate to growth.”

Balancing security, governance, and business agility

Committed to responsible practices, this industry leader prioritizes secure and trustworthy technology for its customers who rely on its solutions. “Balancing business agility with governance is a constant challenge," said the CISO. "There’s always a natural push and pull, which I believe is healthy—but achieving the right balance is delicate.”

Protecting critical workflows without impacting productivity

For the organization, email is much more than just a communication tool. “Email plays a critical role in our engineering workflows and is fundamental to how we build our products.” Because of this, the company is extremely cautious about implementing any solution that could introduce friction or disrupt productivity. “There is zero tolerance for disruption, which is why we take a deliberate and methodical approach when evaluating, selecting, and deploying our tools and solutions,” he said.  

More than a vendor: A security partner invested in success

To ensure an optimal security infrastructure, the enterprise security team regularly evaluates market technologies to their existing solutions. With the rapidly evolving threat landscape, the CISO said they “wanted to validate whether we still had best-in-class protection and the right controls in place to secure our organization. It was about assessing whether we could do better in our ongoing effort to fine-tuning our approach to achieve the best possible outcome.”

The team evaluated 15 different email security vendors based on the following criteria:

  1. Efficacy to detect threats
  2. Ability to integrate with existing tooling
  3. Ease of use
  4. A vendor’s approach to partnership  

They initially narrowed the list to five vendors, conducting demo sessions for deeper evaluations before selecting three finalists for a proof of value (POV). We analyzed actual malicious emails with each vendor to assess the accuracy of their detections, allowing for an objective comparison,” said the CISO. Through this rigorous process, the Darktrace / EMAIL security solution emerged as the best fit for their business. “Darktrace’s product performed well and showed a genuine commitment to partnering with us in the long-term to ensure our success.”

The team objectively understood where there were gaps across the different vendors, where they were strong, and where they could use improvement. “Based on the analysis, we knew that Darktrace / EMAIL could deliver as the data supported it, in our specific use cases.  

Partnership, integrity and respect

Throughout the evaluation process, the importance of partnership and mutual respect remained an essential factor to the CISO. “I wanted a company we could develop a long-term strategic partnership with, one that could extend far deeper than just email.” A key factor in choosing Darktrace was the commitment and engagement of its team at every level of the organization. “Darktrace showed integrity, patience and a genuine investment in building a strong relationship with my team.  That's why we're here today.”

“Together, we've delivered some fantastic outcomes”

For the organization, Darktrace / EMAIL has played a crucial role in reducing risk, empowering analysts, and enabling a lean, effective security strategy. “Together, we've delivered some fantastic outcomes,” said the CISO.  

Reducing risk. Empowering analysts

“Within that first month, we saw a 75% drop in suspicious emails that that required manual review, which reduced the time my team spent analyzing and investigating by 45 hours per month,” said the CISO. The security team values Darktrace / EMAIL not only for its ease of use but also for the time it frees up for more meaningful work. “Giving my team the opportunity to tackle complex challenges they enjoy and find more stimulating is important to me.” As they continue to fine-tune and optimize balance levels within Darktrace / EMAIL, he expects even greater efficiency gains in the coming months.

Maximizing protection while staying lean

It’s important for the security group to be proportionate with their spending, said the CISO. “It's all about what is enough security to enable the business. And that means, as our organization grows, it's important that we are as lean and as efficient as possible to deliver the best outcomes for the business.”  Embracing an AI-powered automated approach is an essential component to achieving that goal. By offloading most manual, repetitive tasks to Darktrace / EMAIL, the company’s skilled security analysts can focus on more strategic and proactive initiatives that enable the business.  

Protecting employees from advanced social engineering threats

Recently, Darktrace detected a malicious email targeting an employee, disguised as a spoofed Microsoft SharePoint and Teams website. What made this attack particularly sophisticated was its personalization — it impersonated the school where the employee’s family member attended. Unlike mass malicious emails sent to thousands of people, this was a highly targeted attack, leveraging advanced social engineering tactics to exploit connections within the education system and between family members.  

Protecting without disrupting

A seamless migration is often overlooked but is critical to success for any organization, said the CISO. With a wide ecosystem of partners, email is a highly visible, business-critical function for the organization — "any friction or downtime would have an immediate impact and could throttle the entire business,” he said. However, the transition from their previous solution to Darktrace / EMAIL was exceptionally smooth. “No one realized we changed providers because there was no disruption — no incidents at all. I cannot emphasize just how important that is when I'm trying to position our security organization as an enabling function for the business that protects and reduces risk without adding friction.”

A security partnership for the future

“To survive as a business over the next few years, adopting AI is no longer optional—it’s essential,” said the CISO. However, with the cybersecurity market becoming increasingly saturated, selecting the right solutions and vendors can be overwhelming. He stresses the importance of choosing strategic partners who not only deliver the outcomes you need, but also deeply understand your organization’s unique environment. “You’re only as strong as your partners. Technology innovation and the cybersecurity market are always changing.  At some point every solution will face a challenge—it’s inevitable. The differentiator will be how people respond when that happens.”  

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March 19, 2025

Survey findings: How is AI Impacting the SOC?

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There’s no question that AI is already impacting the SOC – augmenting, assisting, and filling the gaps left by staff and skills shortages. We surveyed over 1,500 cybersecurity professionals from around the world to uncover their attitudes to AI cybersecurity in 2025. Our findings revealed striking trends in how AI is changing the way security leaders think about hiring and SOC transformation. Download the full report for the big picture, available now.

Download the full report to explore these findings in depth

The AI-human conundrum

Let’s start with some context. As the cybersecurity sector has rapidly evolved to integrate AI into all elements of cyber defense, the pace of technological advancement is outstripping the development of necessary skills. Given the ongoing challenges in security operations, such as employee burnout, high turnover rates, and talent shortages, recruiting personnel to bridge these skills gaps remains an immense challenge in today’s landscape.

But here, our main findings on this topic seem to contradict each other.

There’s no question over the impact of AI-powered threats – nearly three-quarters (74%) agree that AI-powered threats now pose a significant challenge for their organization.  

When we look at how security leaders are defending against AI-powered threats, over 3 out of 5 (62%) see insufficient personnel to manage tools and alerts as the biggest barrier.  

Yet at the same time, increasing cyber security staff is at the bottom of the priority list for survey participants, with only 11% planning to increase cybersecurity staff in 2025 – less than in 2024. What 64% of stakeholders are committed to, however, is adding new AI-powered tools onto their existing security stacks.

With burnout pervasive, the talent deficit reaching a new peak, and growing numbers of companies unable to fill cybersecurity positions, it may be that stakeholders realize they simply cannot hire enough personnel to solve this problem, no matter how much they may want to. As a result, leaders are looking for methods beyond increasing staff to overcome security obstacles.

Meanwhile, the results show that defensive AI is becoming integral to the SOC as a means of augmenting understaffed teams.

How is AI plugging skills shortages in the SOC?

As explored in our recent white paper, the CISO’s Guide to Navigating the Cybersecurity Skills Shortage, 71% of organizations report unfilled cybersecurity positions, leading to the estimation that less than 10% of alerts are thoroughly vetted. In this scenario, AI has become an essential multiplier to relieve the burden on security teams.

95% of respondents agree that AI-powered solutions can significantly improve the speed and efficiency of their defenses. But how?

The area security leaders expect defensive AI to have the biggest impact is on improving threat detection, followed by autonomous response to threats and identifying exploitable vulnerabilities.

Interestingly, the areas that participants ranked less highly (reducing alert fatigue and running phishing simulation), are the tasks that AI already does well and can therefore be used already to relieve the burden of manual, repetitive work on the SOC.

Different perspectives from different sides of the SOC

CISOs and SecOps teams aren’t necessarily aligned on the AI defense question – while CISOs tend to see it as a strategic game-changer, SecOps teams on the front lines may be more sceptical, wary of its real-world reliability and integration into workflows.  

From the data, we see that while less than a quarter of execs doubt that AI-powered solutions will block and automatically respond to AI threats, about half of SecOps aren’t convinced. And only 17% of CISOs lack confidence in the ability of their teams to implement and use AI-powered solutions, whereas over 40% those in the team doubt their own ability to do so.

This gap feeds into the enthusiasm that executives share about adding AI-driven tools into the stack, while day-to-day users of the tools are more interested in improving security awareness training and improving cybersecurity tool integration.

Levels of AI understanding in the SOC

AI is only as powerful as the people who use it, and levels of AI expertise in the SOC can make or break its real-world impact. If security leaders want to unlock AI’s full potential, they must bridge the knowledge gap—ensuring teams understand not just the different types of AI, but where it can be applied for maximum value.

Only 42% of security professionals are confident that they fully understand all the types of AI in their organization’s security stack.

This data varies between job roles – executives report higher levels of understanding (60% say they know exactly which types of AI are being used) than participants in other roles. Despite having a working knowledge of using the tools day-to-day, SecOps practitioners were more likely to report having a “reasonable understanding” of the types of AI in use in their organization (42%).  

Whether this reflects a general confidence in executives rather than technical proficiency it’s hard to say, but it speaks to the importance of AI-human collaboration – introducing AI tools for cybersecurity to plug the gaps in human teams will only be effective if security professionals are supported with the correct education and training.  

Download the full report to explore these findings in depth

The full report for Darktrace’s State of AI Cybersecurity is out now. Download the paper to dig deeper into these trends, and see how results differ by industry, region, organization size, and job title.  

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