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November 9, 2023

Using Darktrace for Threat Hunting

Read about effective threat hunting techniques with Darktrace, focusing on identifying vulnerabilities and improving your security measures.
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
Brianna Leddy
Director of Analyst Operations
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09
Nov 2023

What is Threat Hunting?

Threat Hunting is a technique to identify adversaries within an organization that go undetected by traditional security tools.

While a traditional, reactive approach to cyber security often involves automated alerts received and investigated by a security team, threat hunting takes a proactive approach to seek out potential threats and vulnerabilities before they escalate into full-blown security incidents. The benefits of hunting include identifying hidden threats, reducing the dwell time of attackers, and enhancing overall detection and response capabilities.

Threat Hunting Methodology

There are many different methodologies and frameworks for threat hunting, including the Pyramid of Pain, the Sqrrl Hunting Loop, and the MITRE ATT&CK Framework.  While there is not one gold standard on how to conduct threat hunts, the typical process can be broken down into several key steps:

Planning and Hypothesis Creation: Define the scope and objective of the threat hunt. Identify potential targets and predict activity that might be taking place.

Data Collection: Refining data collection methods and gathering data from various sources, including logs, network traffic, and endpoint data.

Data Processing: Data that has been collected needs to be processed to generate information.

Data Analysis: Processed data can then be analyzed for anomalies, indicators of compromise (IoCs), or patterns of suspicious behavior.

Threat Identification: Based on the analysis, threat hunters may identify potential threats or security incidents.

Response: Taking action to mitigate or eradicate identified threats if any.

Documentation and Dissemination: It is important to record any findings or actions taken during the threat hunting process to serve as lessons learned for future reference. Additionally, any new threats or tactics, techniques, and procedures (TTPs) discovered may be shared with the cyber threat intelligence team or the wider community.

Building a Threat Hunting Program

For organizations looking to implement threat hunting as part of their cyber security program, they will need both a data collection source and human analysts as threat hunters.

Data collection and analysis may often be performed through existing security tools including SIEM systems, Network Traffic Analysis tools, endpoint agents, and system logs. On the human side, experienced threat hunters may be hired into an organization, or existing SOC analysts may be upskilled to perform threat hunts.

Leveraging AI security tools such as Darktrace can help to lower the bar in building a threat hunting program, both in analysis of the data and in assisting humans in their investigations.

Threat Hunting in Darktrace

To illustrate the benefits of leveraging Darktrace in threat hunting, we can walk through an example hunt following the key steps outlined above.

Planning and Hypothesis Creation

The initial hypothesis used in defining the scope of a threat hunt can come from several sources: threat intelligence feeds, the threat hunter’s own experience, or an anomaly detection that has been highlighted by Darktrace.

In this case, let’s imagine that this hunt is focused on a recent campaign by an Advanced Persistent Threat (APT). Threat intel has provided known file hashes, Command and Control (C2) IP addresses and domains, and MITRE techniques used by the attacker. The goal is to determine whether any indicators of this threat are present in the organization’s environment.

Data Collection and Data Processing

Darktrace can be deployed to cover an organization’s entire digital estate, including passive network traffic monitoring, cloud environments, and SaaS applications. Self-Learning AI is applied to the raw data to learn normal patterns of life for a specific environment and to highlight deviations from normal that might represent a threat. This data gives threat hunters a starting point in analyzing logs, meta-data, and anomaly detections.

Data Analysis

In the data analysis phase, threat hunters can use the Darktrace platform to search for the IoCs and TTPs identified during planning.

When searching for IoCs such as IP addresses or domain names, hunters can query the environment through the Omnisearch bar in the Darktrace Threat Visualizer. This search can provide a summary of all devices or users contacting a suspicious endpoint. From here the hunters can quickly pivot to identify surrounding activity from the source device.

Figure 1: Search for twitter[.]com (now known as X) as a potential indicator of compromise

Alternately, Darktrace Advanced Search can be used to search for these IoCs, but it also supports queries for file hashes or more advanced searches based on ports, protocols, data volumes, etc.

Figure 2: Advanced Search query for connections on port 3389 lasting longer than 60 seconds

While searching for known suspicious domains and IP addresses is straightforward, the real strength of Darktrace lies in the ability to highlight deviations from a device’s ‘normal’ pattern of life. Darktrace has many built-in behavioral models designed to detect common adversary TTPs, all mapped to the MITRE ATT&CK Framework.

In the context of our threat hunt, we know that our target APT uses the Remote Desktop Protocol (RDP) to move laterally within a compromised network, specifically leveraging MITRE technique T1021.001. As each Darktrace model is mapped to MITRE, the threat hunter can search and find specific detection models that may be of interest, in this case the model ‘Anomalous Connection / Unusual Internal Remote Desktop’. From here they can view any devices that may have triggered this model, indicating possible attacker activity.

Figure 3: MITRE Mapping details in the Darktrace Model Editor

Threat hunters can also search more widely for any detections within a specific MITRE tactic through filters found on the Darktrace Threat Tray.

Figure 4: Search for the Lateral Movement MITRE Tactic on the model breach threat tray

Threat Identification

Once a threat hunter has identified connections, model breaches, or anomalies during the analysis phase, they can begin to conduct further investigation to determine if this may represent a security incident.

Threat hunters can use Darktrace to perform deeper analysis through generating packet captures, visualizing surrounding network traffic, and utilizing features like the VirusTotal lookup to consult open-source intelligence (OSINT).

Another powerful tool to augment the hunter’s investigation is the Darktrace Cyber AI Analyst, which assists human teams in the investigation and correlation of behaviors to identify threats. Cyber AI Analyst automatically launches an initial triage of every model breach in the Darktrace platform, but threat hunters can also leverage manual investigations to gain additional context on their findings.

For example, say that an unusual RDP connection of interest was identified through Advanced Search. The hunter can pivot back to the Threat Visualizer and launch an AI Analyst investigation for the source device at the time of the connection. The resulting investigation may provide the hunter with additional suspicious behavior observed around that time, without the need for manual log analysis.

Figure 5: Manual Cyber AI Analyst investigations

Response

If a threat is detected within Darktrace and confirmed by the threat hunter, Darktrace's Autonomous Response can be leveraged to take either autonomous or manual action to contain the threat. This provides the security team with additional time to conduct further investigation, pull forensics, and remediate the threat. This process can be further supported through the bespoke, AI-generated playbooks offered by Darktrace / Incident Readiness & Recovery, allowing an efficient recovery back to normal.

Figure 6: Example of a manual RESPOND action used to block suspicious connectivity on port 3389 to contain possible lateral movement

Documentation and Dissemination

An important final step is to document the threat hunting process and use the results to better improve automated security alerting and response. In Darktrace, reporting can be generated through the Cyber AI Analyst, Advanced Search exports, and model breach details to support documentation.

To improve existing alerting through Darktrace, this may mean creating a new detection model or increasing the priority of existing detections to ensure that these are escalated to the security team in the future. The Darktrace model editor provides users with full visibility into models and allows the creation of custom detections based on use cases or business requirements.

Figure 7: The Darktrace Model Editor showing the Breach Logic configuration

Conclusions

Proactive threat hunting is an important part of a cyber security approach to identify hidden threats, reduce dwell time, and improve incident response. Darktrace’s Self-Learning AI provides a powerful tool for identifying attacker TTPs and augmenting human threat hunters in their process. Utilizing the Darktrace platform, threat hunters can significantly reduce the time required to complete their hunts and mitigate identified threats.

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  • Identity-based attacks: How attackers are bypassing traditional defenses
  • Zero-day exploitation: The rise of previously unknown vulnerabilities
  • AI-driven threats: How adversaries are leveraging AI to outmaneuver security controls

Stay ahead of evolving threats with expert analysis from Darktrace. Download the report here.

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
Brianna Leddy
Director of Analyst Operations

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June 18, 2025

Darktrace Collaborates with Microsoft: Unifying Email Security with a Shared Vision

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In today’s threat landscape, email remains the most targeted vector for cyberattacks. Organizations require not only multi-layered defenses but also advanced, integrated systems that work collaboratively to proactively mitigate threats before they cause damage

That’s why we’re proud to announce a new integration between Darktrace / EMAIL and Microsoft Defender for Office 365, delivering a Unified Quarantine experience that empowers security teams with seamless visibility, control, and response across both platforms.

This announcement builds on a strong and growing collaboration. In 2024, Darktrace was honored as Microsoft UK Partner of the Year and recognized as a Security Trailblazer at the annual Microsoft Security 20/20 Awards, a testament to our shared commitment to innovation and customer-centric security.

A Shared Mission: Stopping Threats at Machine Speed

This integration is more than a technical milestone,as it’s a reflection of a shared mission: to protect organizations from both known and unknown threats, with efficiency, accuracy, and transparency.

  • Microsoft Defender for Office 365 delivers a comprehensive security framework that safeguards Microsoft 365 email and collaboration workloads leveraging advanced AI, global threat intelligence and information on known attack infrastructure.
  • Darktrace / EMAIL complements this with Self-Learning AI that understands the unique communication patterns within each organization, detecting subtle anomalies that evade traditional detection methods.

Together, we’re delivering multi-layered, adaptive protection that’s greater than the sum of its parts.

“Our integration with Microsoft gives security teams the tools they need to act faster and more precisely to detect and respond to threats,” said Jill Popelka, CEO of Darktrace. “Together, we’re strengthening defenses where it matters most to our customers: at the inbox.”

Unified Quarantine: One View, Total Clarity

The new Unified Quarantine experience gives customers a single pane of glass to view and manage email threatsregardless of which product took action. This means:

  • Faster investigations with consolidated visibility
  • Clear attribution of actions and outcomes across both platforms
  • Streamlined workflows for security teams managing complex environments

“This integration is a testament to the power of combining Microsoft’s global threat intelligence with Darktrace’s unique ability to understand the ‘self’ of an organization,” said Jack Stockdale, CTO of Darktrace. “Together, we’re delivering a new standard in proactive, adaptive email security.”

A New Era of Collaborative Cyber Defense

This collaboration represents a broader shift in cybersecurity: from siloed tools to integrated ecosystems. As attackers become more sophisticated, defenders must move faster, smarter, and in unison.

Through this integration, Darktrace and Microsoft establish a new standard for collaboration between native and third-party security solutions, enhancing not only threat detection but also comprehensive understanding and proactive measures against threats.

We’re excited to bring this innovation to our customers and continue building a future where AI and human expertise collaborate to secure the enterprise.

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Carlos Gray
Senior Product Marketing Manager, Email

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June 19, 2025

Customer Case Study: Leading Petrochemical Manufacturer

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Headquartered in Saudi Arabia, this industry leading petrochemical manufacturer serves customers in more than 80 countries across diverse markets throughout Europe, Africa, Latin America, the Middle East, China, and Southeast Asia.

Cyber resiliency critical to growth strategy

This leading petrochemical manufacturer’s vision is to be one of the major global players in the production and marketing of designated petrochemicals and downstream products. The company aims to significantly increase its capacity to up to a million metric tons within the next few years.

With cyber-attacks on critical infrastructure increasing 30% globally last year, cyber resiliency is essential to supporting the company’s strategic business goals of:

  • Maximizing production through efficient asset utilization
  • Maximizing sales by conducting 90% of its business outside Saudi Arabia
  • Optimizing resources and processes by integrating with UN Global Compact principles for sustainability and efficiency
  • Growing its business portfolio by engaging in joint ventures to diversify production and add value to the economy

However, the industry leader faced several challenges in its drive to fortify its cybersecurity defenses.

Visibility gaps delay response time

The company’s existing security setup provided limited visibility to the in-house security team, hindering its ability to detect anomalous network and user activity in real time. This resulted in delayed responses to potential incidents, making proactive issue resolution difficult and any remediation in the event of a successful attack costly and time-consuming.

Manual detection drains resources

Without automated detection and response capabilities, the organization’s security team had to manually monitor for suspicious activity – a time-consuming and inefficient approach that strained resources and left the organization vulnerable. This made it difficult for the team to stay current with training or acquire new skills and certifications, which are core to the ethos of both the company’s owners and the team itself.

Cyber-attacks on critical infrastructure increasing

The petrochemical manufacturer is part of a broader ecosystem of companies, making the protection of its supply chain – both upstream and downstream – critical. With several manufacturing entities and multiple locations, the customer’s internal structure is complex and challenging to secure. As cyber-attacks on critical infrastructure escalate, it needed a more comprehensive approach to safeguard its business and the wider ecosystem.

Keeping and growing skills and focus in-house

To strengthen its cybersecurity strategy, the company considered two options:

  1. Make a significant initial and ongoing investment in a Security Operations Center (SOC), which would involve skills development outside the company and substantial management overhead.
  2. Use a combination of new, automated tools and an outsourced Managed Detection and Response (MDR) service to reduce the burden on internal security specialists and allow the company to invest in upskilling its staff so they can focus on more strategic tasks.

Faced with this choice between entirely outsourcing security and augmenting the security team with new capabilities, the customer chose the second option, selecting Darktrace to automate the company’s monitoring, detection, and response. Today, the petrochemical manufacturer is using:

Extending the SOC with 24/7 expert support

To alleviate the burden on its lean security team, the company augmented its in-house capabilities with Darktrace’s Managed Detection & Response service. This support acts as an extension of its SOC, providing 24/7 monitoring, investigation, and escalation of high-priority threats. With Darktrace’s global SOC managing alert triage and autonomously containing threats, the organization’s internal team can focus on strategic initiatives. The result is a stronger security posture and increased capacity to proactively address evolving cyber risks – without expanding headcount or sacrificing visibility.

A unique approach to AI

In its search for a new security platform, the company’s Director of Information Technology said Darktrace’s autonomous response capability, coupled with Self-Learning AI-driven threat reduction, were two big reasons for selecting Darktrace over competing products and services.

AI was a huge factor – no one else was doing what Darktrace was doing with [AI].”

Demonstrated visibility

Before Darktrace, the customer had no visibility into the network activity to and from remote worker devices. Some employees need the ability to connect to its networks at any time and from any location, including the Director of Information Technology. The trial deployment of Darktrace / ENDPOINT was a success and gave the team peace of mind that, no matter the location or device, high-value remote workers were protected by Darktrace.

Modular architecture  

Darktrace's modular architecture allowed the company to deploy security controls across its complex, multi-entity environment. The company’s different locations run on segregated networks but are still interconnected and need to be protected. Darktrace / NETWORK provides a unified view and coordinated security response across the organization’s entire network infrastructure, including endpoint devices.

Results

The petrochemical manufacturer is using Darktrace across all of its locations and has achieved total visibility across network and user activity. “Darktrace is increasing in value every day,” said the Director of Information Technology.

I don’t have a big team, and Darktrace makes our lives very, very easy, not least the automation of some of the tasks that require constant manual review.”

Time savings frees analysts to focus on proactive security

Darktrace / NETWORK provides continuous, AI-driven monitoring and analysis of the company’s network activity, user behavior, and threat patterns, establishing a baseline of what normal activity looks like, and then alerting analysts to any deviations from normal traffic, activity, and behaviors. Darktrace’s autonomous response capabilities speed up response to detected threats, meaning intervention from the security team is required for fewer incidents and alerts.

In October 2024 alone, Darktrace Cyber AI Analyst saved the team 810 investigation hours, and autonomously responded to 180 anomalous behaviors that were uncovered during the investigations. With Darktrace managing the majority of threat detection and response efforts, the security team has been able to change its day-to-day activity from manual review of traffic and alerts and belated response to activity, to proactively fortifying its detection and response posture and upskilling to meet evolving requirements.  

Layered email protection reduces phishing threats

The company’s email infrastructure posed a challenge due to petrochemical industry regulations requiring on-premises email servers, with some security delivered via Microsoft Azure. By integrating Darktrace / EMAIL into the Azure stack, the organization has reduced the volume of phishing emails its users receive by 5%.

“Now we have one more layer of security related to email – every email goes through two filters. If something is not being caught or traced by Azure, it is being detected by Darktrace,” said the Director of Information Technology. “As a result, we’re now seeing only about 15% to 20% of the phishing emails we used to receive before implementing Darktrace.”

Preparing for a secure future

The time saved using Darktrace has helped the security team take proactive steps, including preparing for new cyber resilience regulations for Saudi Arabia’s Critical National Infrastructure, as mandated by the National Cybersecurity Authority (NCA).

“The team now has ample time to prepare policies and procedures that meet the new NCA regulations and, in some cases, enhance the requirements of the new law,” said the Director of Information Technology. “All of this is possible because they don’t need to keep watch; Darktrace takes on so much of that task for them.”

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