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July 19, 2021

Data Exfiltration Trends in Latin America

Darktrace reveals key findings on data exfiltration in Latin America. Discover the latest cyber threats and defense strategies.
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.
Written by
Max Heinemeyer
Global Field CISO
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19
Jul 2021

Data exfiltration is a popular enterprise for cyber-criminals. All organizations – from government agencies to small businesses – have sensitive data which can be stolen for extortion, competitive advantage, or further inroads in a company’s system. It is now the preferred technique of ransomware actors. Some Ransomware-as-a-Service (RaaS) groups have even pioneered a new type of ‘extortionware’, which focuses solely on data theft without encryption.

Easy money

At a pharmaceutical manufacturing institute in Latin America, Darktrace recently detected the exfiltration of critical files from the company, as this blog will explore.

The organization was an enticing target for two reasons. Firstly, pharmaceutical companies hold a wealth of valuable IP and patient data, which have come under sustained fire this last year as threat actors and nation states infiltrate vaccine research and distribution.

#1 most affected industry for data breaches: pharmaceuticals.

Secondly, Latin America is a treasure trove for cyber-criminals, thanks to huge economic growth in recent years, the digitization of major industries, alongside sub-standard cyber insurance policies and virtually nonexistent regulations.

Even before the COVID-19 pandemic, Brazil and Mexico were in Europol’s top ten affected countries. Since then, cases have skyrocketed – and many companies remain underprepared, facing limited support and pressure from government bodies. Strikingly, even though it has suffered estimated losses of almost $8 billion, Brazil still has no data protection law in place.

On top of financial crimes, the LATAM region has been targeted by state-sponsored groups linked to Russia, China, and Iran. Cyber-espionage is used as a method to gain the upper hand in negotiations and advance foreign interests in investment and trade.

Furthermore, as supply chains in the criminal world are hit by the effects of the pandemic, organized crime may begin to leverage the digital world – particularly fraud and phishing – as a possible source of income. La Familia Michoacana, a notorious drug cartel in Mexico, has reportedly begun enlisting Dark Web hackers.

Despite the number of threats facing Latin America, organizations have been slow to adopt defensive technology. So when the attacker in the case below chose a small organization in the LATAM region, they probably expected to face only signature-based, legacy security tools. Sensing that this would be easy prey – with little resistance and large profit to be made – the actor launched their first steps.

How the intrusion played out

During a Proof of Value trial with the company, Darktrace detected unusual activity from a server, following external remote connectivity.

Figure 1: Timeline of the attack.

The attack began when an internal server received an unusual connection over RDP from an external IP. The connection lasted five hours. The external IP then established a new SMB session to the same server using administrative credentials. The external IP leveraged SMB to access a file, which appeared to contain unencrypted passwords.

65% of the Colombian population now use the Internet, compared to only 3% in 2000.

From there, the external IP downloaded over 18,000 files over SMB. Based on the file names, it appears that the data was highly sensitive. In total, the external IP downloaded around 150 MB of data from the internal server.

Unusual activity post remote connections

Self-Learning AI detected that the IP address was 100% rare for the organization and server. The data transfer was also detected as unusual for the device’s ‘pattern of life’. Unfortunately, as Antigena was being trialled in passive mode, Darktrace could not intervene and disrupt the attack.

Nevertheless, Darktrace fired a number of high-confidence alerts to warn the security team. The figure below shows five-day activity from an example device in the same situation, with a high volume of clustered alerts. These reflect the unusual increase in volume transferred externally from a breach device.

Figure 2: A similar device received an incoming remote desktop connection, highlighted by the first model breach (orange dot). Shortly after, the external device accessed an unencrypted password file. At the same time, the device transferred an unusual volume of data to a rare external source IP.

Data exfiltration methods: RDP and password file access

The threat actor managed to bypass all the other existing security products in the company. They did this with legitimate administrative credentials, which were used to establish the RDP and SMB connections. RDP credentials are easily bought off the Dark Web and have proved a popular form of initial access, especially this year as employees continue to work remotely.

In addition, improper password management can unlock an organization’s digital kingdom. One of the accessed files was a password file, enabling the actor to quickly escalate privileges. After this point, only an AI-powered defensive tool could keep up with the speed of the intrusion.

Leveraging common protocols such as SMB to exfiltrate data is a common tactic. Internet-exposed servers are still a major risk to organizations as attackers exploit open and unused ports.

Moreover, the files transferred during the activity were saved as receipts with the names of partners and customers. This is extremely dangerous and could have put the company’s reputation at serious risk. Luckily, Self-Learning AI detected the malicious actions and warned the security team immediately, allowing them to stop further exfiltration and any follow-up activity.

Protecting sensitive data

The example above demonstrates that even the smallest of companies can fall victim to an attack. Small and medium-sized enterprises are targeted because they own important data and IP, yet often lack robust security and resources. This makes them simple catches compared to large establishments or governments.

Darktrace’s AI has the ability to detect malicious data exfiltration from subtle changes in behavior. In this case, the targeted server regularly transfers data in and out of the organization, yet Darktrace scored the incoming external IP with the highest rarity. In other words, Darktrace considered the data transfer activity highly unusual and outside of the server’s normal ‘pattern of life’.

This enabled the security team to respond to the threat and take the server offline for further investigation. If Darktrace Antigena had been active in the environment, it would have responded seconds after the initial compromise, stopping the threat at machine speed.

Thanks to Darktrace analyst Kendra Gonzalez Duran for her insights on the above threat find.

Learn how to defend your company from data exfiltration and malicious insiders

Darktrace model detections:

  • Compliance / Incoming Remote Desktop
  • Compliance / Possible Unencrypted Password File On Server
  • Anomalous Connection/ Data Sent to Rare Domain

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.
Written by
Max Heinemeyer
Global Field CISO

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April 2, 2026

How Chinese-Nexus Cyber Operations Have Evolved – And What It Means For Cyber Risk and Resilience 

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Cybersecurity has traditionally organized risk around incidents, breaches, campaigns, and threat groups. Those elements still matter—but if we fixate on individual incidents, we risk missing the shaping of the entire ecosystem. Nation‑state–aligned operators are increasingly using cyber operations to establish long-term strategic leverage, not just to execute isolated attacks or short‑term objectives.  

Our latest research, Crimson Echo, shifts the lens accordingly. Instead of dissecting campaigns, malware families, or actor labels as discrete events, the threat research team analyzed Chinese‑nexus activity as a continuum of behaviors over time. That broader view reveals how these operators position themselves within environments: quietly, patiently, and persistently—often preparing the ground long before any recognizable “incident” occurs.  

How Chinese-nexus cyber threats have changed over time

Chinese-nexus cyber activity has evolved in four phases over the past two decades. This ranges from early, high-volume operations in the 1990s and early 2000s to more structured, strategically-aligned activity in the 2010s, and now toward highly adaptive, identity-centric intrusions.  

Today’s phase is defined by scale, operational restraint, and persistence. Attackers are establishing access, evaluating its strategic value, and maintaining it over time. This reflects a broader shift: cyber operations are increasingly integrated into long-term economic and geopolitical strategies. Access to digital environments, specifically those tied to critical national infrastructure, supply chains, and advanced technology, has become a form of strategic leverage for the long-term.  

How Darktrace analysts took a behavioral approach to a complex problem

One of the challenges in analyzing nation-state cyber activity is attribution. Traditional approaches often rely on tracking specific threat groups, malware families, or infrastructure. But these change constantly, and in the case of Chinese-nexus operations, they often overlap.

Crimson Echo is the result of a retrospective analysis of three years of anomalous activity observed across the Darktrace fleet between July 2022 and September 2025. Using behavioral detection, threat hunting, open-source intelligence, and a structured attribution framework (the Darktrace Cybersecurity Attribution Framework), the team identified dozens of medium- to high-confidence cases and analyzed them for recurring operational patterns.  

This long-horizon, behavior-centric approach allows Darktrace to identify consistent patterns in how intrusions unfold, reinforcing that behavioral patterns that matter.  

What the data shows

Several clear trends emerged from the analysis:

  • Targeting is concentrated in strategically important sectors. Across the dataset, 88% of intrusions occurred in organizations classified as critical infrastructure, including transportation, critical manufacturing, telecommunications, government, healthcare, and Information Technology (IT) services.  
  • Strategically important Western economies are a primary focus. The US alone accounted for 22.5% of observed cases, and when combined with major European economies including Germany, Italy, Spain and the UK, over half of all intrusions (55%) were concentrated in these regions.  
  • Nearly 63% of intrusions of intrusions began with the exploitation of internet-facing systems, reinforcing the continued risk posed by externally exposed infrastructure.  

Two models of cyber operations

Across the dataset, Chinese-nexus activity followed two operational models.  

The first is best described as “smash and grab.” These are short-horizon intrusions optimized for speed. Attackers move quickly – often exfiltrating data within 48 hours – and prioritize scale over stealth. The median duration of these compromises is around 10 days. It’s clear they are willing to risk detection for short-term gain.  

The second is “low and slow.” These operations were less prevalent in the dataset, but potentially more consequential. Here, attackers prioritize persistence, establishing durable access through identity systems and legitimate administrative tools, so they can maintain access undetected for months or even years. In one notable case, the actor had fully compromised the environment and established persistence, only to resurface in the environment more than 600 days after. The operational pause underscores both the depth of the intrusion and the actor’s long‑term strategic intent. This suggests that cyber access is a strategic asset to preserve and leverage over time, and we observed these attacks most often inin sectors of the high strategic importance.  

It’s important to note that the same operational ecosystem can employ both models concurrently, selecting the appropriate model based on target value, urgency, intended access. The observation of a “smash and grab” model should not be solely interpreted as a failure of tradecraft, but instead an operational choice likely aligned with objectives. Where “low and slow” operations are optimized for patience, smash and grab is optimized for speed; both seemingly are deliberate operational choices, not necessarily indicators of capability.  

Rethinking cyber risk

For many organizations, cyber risk is still framed as a series of discrete events. Something happens, it is detected and contained, and the organization moves on. But persistent access, particularly in deeply interconnected environments that span cloud, identity-based SaaS and agentic systems, and complex supply chain networks, creates a major ongoing exposure risk. Even in the absence of disruption or data theft, that access can provide insight into operations, dependencies, and strategic decision-making. Cyber risk increasingly resembles long-term competitive intelligence.  

This has impact beyond the Security Operations Center. Organizations need to shift how they think about governance, visibility, and resilience, and treat cyber exposure as a structural business risk instead of an incident response challenge.  

What comes next

The goal of this research is to provide a clearer understanding of how these operations work, so defenders can recognize them earlier and respond more effectively. That includes shifting from tracking indicators to understanding behaviors, treating identity providers as critical infrastructure risks, expanding supplier oversight, investing in rapid containment capabilities, and more.  

Learn more about the findings of Darktrace’s latest research, Crimson Echo: Understanding Chinese-nexus Cyber Operations Through Behavioral Analysis, by downloading the full report and summaries for business leaders, CISOs, and SOC analysts here.  

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Nathaniel Jones
VP, Security & AI Strategy, Field CISO

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April 1, 2026

AI-powered security for a rapidly growing grocery enterprise

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Protecting a complex, fast-growing retail organization

For this multi-banner grocery holding organization, cybersecurity is considered an essential business enabler, protecting operations, growth, and customer trust. The organization’s lean IT team manages a highly distributed environment spanning corporate offices, 100+ stores, distribution centers and  thousands of endpoints, users, and third-party connections.

Mergers and acquisitions fueled rapid growth, but they also introduced escalating complexity that constrained visibility into users, endpoints, and security risks inherited across acquired environments.

Closing critical visibility gaps with limited resources

Enterprise-wide visibility is a top priority for the organization, says the  Vice President of Information Technology. “We needed insights beyond the perimeter into how users and devices were behaving across the organization.”

A security breach that occurred before the current IT leadership joined the company reinforced the urgency and elevated cybersecurity to an executive-level priority with a focus on protecting customer trust. The goal was to build a multi-layered security model that could deliver autonomous, enterprise-wide protection without adding headcount.

Managing cyber risk in M&A

Mergers and acquisitions are central to the grocery holding company’s growth strategy. But each transaction introduces new cyber risk, including inherited network architectures, inconsistent tooling, excessive privileges, and remnants of prior security incidents that were never fully remediated.

“Our M&A targets range from small chains with a single IT person and limited cyber tools to large chains with more developed IT teams, toolsets and instrumentation,” explains the VP of IT. “We needed a fast, repeatable, and reliable way to assess cyber risk before transactions closed.”

AI-driven security built for scale, speed, and resilience

Rather than layering additional point tools onto an already complex environment, the retailer adopted the Darktrace ActiveAI Security Platform™ in 2020 as part of a broader modernization effort to improve resilience, close visibility gaps, and establish a security foundation that could scale with growth.

“Darktrace’s AI-driven approach provided the ideal solution to these challenges,” shares the VP of IT. “It has empowered our organization to maintain a robust security strategy, ensuring the protection of our network and the smooth operation of our business.”

Enterprise-wide visibility into traffic  

By monitoring both north-south and east-west traffic and applying Self-Learning AI, Darktrace develops a dynamic understanding of how users and devices normally behave across locations, roles, and systems.

“Modeling normal behavior across the environment enables us to quickly spot behavior that doesn’t fit. Even subtle changes that could signal a threat but appear legitimate at first glance,” explains the VP of IT.

Real-time threat containment, 24/7

Adopting autonomous response has created operational breathing room for the security team, says the company’s Cybersecurity  Engineer.

“Early on, we enabled full Darktrace autonomous mode and we continue to do so today,” shares the IT Security Architect. “Allowing the technology to act first gives us the time we need to investigate incidents during business hours without putting the business at risk.”

Unified, actionable view of security ecosystem

The grocery retailer integrated Darktrace with its existing security ecosystem of firewalls, vulnerability management tools, and endpoint detection and response, and the VP of IT described the adoption process as “exceptionally smooth.”

The team can correlate enterprise-wide security data for a unified and actionable picture of all activity and risk. Using this “single pane of glass” approach, the retailer trains Level 1 and Level 2 operations staff to assist with investigations and user follow-ups, effectively extending the reach of the security function without expanding headcount.

From reactive defense to security at scale

With Darktrace delivering continuous visibility, autonomous containment, and integrated security workflows, the organization has strengthened its cybersecurity posture while improving operational efficiency. The result is a security model that not only reduces risk, but also supports growth, resilience, and informed decision-making at the business level.

Faster detection, faster resolution

With autonomous detection and response, the retailer can immediately contain risk while analysts investigate and validate activity. With this approach, the company can maintain continuous protection even outside business hours and reduce the chance of lateral spread across systems or locations.

Enterprise-grade protection with a lean team

From cloud environments to clients to SaaS collaboration tools, Darktrace provides holistic autonomous AI defense, processing petabytes of the organization’s network traffic and investigating millions of individual events that could be indicative of a wider incident.

Today, Darktrace autonomously conducts the majority of all investigations on behalf of the IT team, escalating only a tiny fraction for analyst review. The impact has been profound, freeing analysts from endless alerts and hours of triage so they can focus on more valuable, proactive, and gratifying work.

“From an operational perspective, Darktrace gives us time back,” says the Cybersecurity Engineer. More importantly, says the VP of IT, “it gives us peace of mind that we’re protected even if we’re not actively monitoring every alert.”

A strategic input for M&A decision-making

One of the most strategic outcomes has been the role of cybersecurity on M&A. 90 days prior to closing a transaction, the security team uses Darktrace alongside other tools to perform a cyber risk assessment of the potential acquisition. “Our approach with Darktrace has consistently identified gaps and exposed risks,” says the VP of IT, including:

  • Remnants of previous incidents that were never fully remediated
  • Network configurations with direct internet exposure
  • Excessive administrative privileges in Active Directory or on critical hosts

While security findings may not alter deal timelines, the VP of IT says they can have enormous business implications. “With early visibility into these risks, we can reduce exposure to inherited cyber threats, strengthen our position during negotiations, and establish clear remediation requirements.”

A security strategy built to evolve with the business

As the holding group expands its cloud footprint, it will extend Darktrace protections into Azure, applying the same AI-driven visibility and autonomous response to cloud workloads. The VP of IT says Darktrace's evolving capabilities will be instrumental in addressing the organization’s future cybersecurity needs and ability to adapt to the dynamic nature of cloud security.

“With Darktrace’s AI-driven approach, we have moved beyond reactive defense, establishing a resilient security foundation for confident expansion and modernization.”

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