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October 23, 2025

Darktrace Redefines NDR: Industry-First Autonomous Threat Investigation from Network to Endpoint with Agentic AI

Darktrace delivers the next evolution of NDR, extending an industry-first bridge across the network and endpoint gap with Self-Learning AI.
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
Mikey Anderson
Product Marketing Manager, Network Detection & Response
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23
Oct 2025

Darktrace delivers the next evolution of unified and proactive NDR

Darktrace Network Endpoint eXtended Telemetry (NEXT) is revolutionizing NDR with the industry’s first mixed-telemetry agent using Self-Learning AI.  

The combined context of native network and endpoint process data significantly reduces incident triage and investigation times for threats spanning both domains. Our business-centric approach learns what normal looks like for each endpoint, and now uses process context to extend our ability to identify novel threats that existing EDR/XDR tools often  miss.

Summary of what’s new:

  • Native endpoint process telemetry combined with NDR, bridging the EDR gap
  • Self-Learning AI on the endpoint to stop novel threats missed by EDR
  • Sophisticated Agentic AI to automate SecOps investigations across all major IT domains
  • AI-native, real-time threat detection, investigation, and response (TDIR) for cross-domain activity throughout the enterprise

Why is this an important next step in NDR?

Security analysts are buried under a flood of alerts that lack the context needed to separate genuine threats from noise. The root problem is that most security tools only see one slice of the environment. IT and OT networks, endpoints, and cloud systems are monitored in isolation, with little correlation between them.

As a result, investigations are highly manual. Analysts are forced to pivot between siloed point-products, each providing only a fragment of the incident. This slows response, creates blind spots, and limits the team’s ability to understand and contain threats effectively.

In many cases, the high degree of skill it takes to pivot tools and conduct investigations leads even the most experienced analysts closer to burnout, especially when they are already exhausted by the quantity of alerts. Ultimately, the human personnel managing these systems are using their skills to accommodate for the lack of synergy between tools they are using in their security stack, rather than developing the higher-value expertise needed to anticipate, prevent, and respond to emerging threats.

Many organizations have attempted to overcome this challenge by implementing XDR solutions. But, XDR does not cover NDR related use cases. This is especially true in OT/CPS environments where it is not possible to install an agent on devices.

XDR is an Endpoint-focused tool that cannot see the full picture of threats moving laterally across the network, targeting unmanaged devices, or blending into legitimate traffic. While XDR is still a strong tool in the arsenal, attackers are noticing where the gaps are:

  • A CISA Red Team assessment found that one U.S. critical infrastructure organization suffered prolonged compromise because it overly relied on host‑based EDR and lacked sufficient network-layer defenses.  

Bottom line: Without native network detection and response (NDR), critical incidents slip through undetected.

Not all NDR tools are built the same

When it comes to NDR, the details matter. Here are a few reasons why not all NDR solutions are created equal:

  • Most NDR solutions depend on EDR/XDR integrations to ingest endpoint alerts, which are raised based on activity that is already known to be malicious
  • They can’t investigate beyond what the EDR already flags, lacking process-level context in network investigations
  • Almost no NDR solutions have a native endpoint agent to extend NDR visibility to remote worker devices

This reliance on EDR leaves critical gaps in network coverage, since EDRs themselves don’t provide network-level visibility.

The NEXT evolution of NDR

Darktrace Network Endpoint eXtended Telemetry (NEXT) is revolutionizing NDR with the industry’s first mixed-telemetry agent using Self-Learning AI.  

The combined context of native network and endpoint process data significantly reduces incident triage and investigation times for threats spanning both domains, our business-centric approach with new data also extends our ability to identify novel threats that existing EDR/XDR may miss.

Darktrace / ENDPOINT agents are now able to utilize new Network Endpoint eXtended Telemetry (NEXT) capabilities. This combines full network visibility with native endpoint process data, enabling autonomous investigations that trace threats from initial network activity all the way to the root cause at the endpoint, without manual correlation or tool switching. This bridges the gap between NDR and the endpoint, while adding value to existing EDR investments.

Darktrace natively shows the endpoint process context in relation to network events, complete with parent/child process relationships, adding immediate context to network investigations without needing to pivot to your EDR.
Figure 1: Darktrace natively shows the endpoint process context in relation to network events, complete with parent/child process relationships, adding immediate context to network investigations without needing to pivot to your EDR.

Leveraging this data in investigations

This additional context is then leveraged by Cyber AI Analyst, a sophisticated agentic AI system that autonomously performs end-to-end investigations of all relevant alerts and prioritizes incidents. With the new endpoint process visibility, Cyber AI Analyst now incorporates process context into its decision-making, which improves detection accuracy, filters out benign activity, and enhances incident narratives with process-level insights.

This makes Darktrace the first NDR to natively investigate threats across network and endpoint telemetry with an autonomous, agentic AI analyst. And with our Self-Learning AI, Darktrace continuously evolves by understanding what’s normal for each unique environment, now adding process data to extend visibility and range of detections. This enables Darktrace to detect and contain novel threats, including zero-days, insider threats, and emerging attack techniques, up to 8 days before public disclosure.

This is more than a solution to a visibility problem. It’s a fundamental evolution in how threats are detected, investigated, and stopped. By applying agentic AI, Darktrace empowers security teams to move from reactive alert triage to proactive, autonomous defense, surfacing and blocking threats that others simply can’t see.

An excerpt from a Darktrace Cyber AI Analyst incident, showing the inclusion of native endpoint process context alongside other network events.
Figure 2: An excerpt from a Darktrace Cyber AI Analyst incident, showing the inclusion of native endpoint process context alongside other network events.

Continued innovation in detection and response

Darktrace also continues to invest in our core NDR capabilities, delivering enhancements and innovations to solve modern network security challenges. In the latest release, Darktrace / NETWORK has been enhanced to increase detection efficacy and performance. This includes increased protocol detection fidelity and new support for custom port mappings, plus expanded visibility into HTTP traffic to support more targeted threat hunting across a wider range of application layer activity. In addition, vSensor performance has been upgraded for tunnel protocols such as Geneve.

We have also released enhancements to Autonomous Response, which is already trusted by thousands of organizations to contain threats at the earliest stages without causing business disruption. This includes enhanced support for highly complex and segmented networks, plus the ability to extend Autonomous Response actions to more areas with additional firewall integration support. This enables faster and more effective response to network threats, and continues Darktrace’s proven ability to contain zero-day threats up to 8 days before public disclosure.

Providing seamless operations with the new Darktrace ActiveAI Security Portal

As part of Darktrace’s commitment to breaking down silos across the cyber defense lifecycle, this release also introduces major platform enhancements that tackle often-overlooked operational gaps specifically around user access, permissions, and integration workflows. With the launch of the new Darktrace ActiveAI Security Portal, organizations can now manage security at scale across diverse environments, making it ideal for large enterprises, MSSPs, and partners overseeing multiple tenants. These updates ensure that visibility, control, and scalability extend beyond detection and response and into how teams manage and interact with the platform itself.

Committed to innovation

These updates are part of the broader Darktrace release, which also included:

1. Major innovations in cloud security with the launch of the industry’s first fully automated cloud forensics solution, reinforcing Darktrace’s leadership in AI-native security.

2. Innovations to our suite of Exposure Management & Attack Surface Management products including:

  • Exploit Prediction Assessment: Continuously validates whether top-priority exposures are actually exploitable in your environment without waiting for patch cycles or formal pen tests.  
  • Deep & Dark Web Monitoring: Extends visibility across millions of sources in the deep and dark web to detect leaked credentials linked to your confirmed domains.
  • Confidence Score: our newly developed AI classification platform will compare newly discovered assets to assets that are known to belong to your organization. The more these newly discovered assets look similar to assets that belong to your organization, the higher the score will be.
  • No-Telemetry Endpoint: Collects installed software data and maps it to known CVEs—without network traffic—providing device-level vulnerability context and operational relevance.
  • Cost-Benefit Analysis for Patching: Calculates ROI by comparing patching effort with potential exploit impact, factoring in headcount time, device count, patch difficulty, and automation availability.

Visit these blogs to learn more about updates:

As attackers exploit gaps between tools, the Darktrace ActiveAI Security Platform delivers unified detection, automated investigation, and autonomous response across cloud, endpoint, email, network, and OT. With full-stack visibility and AI-native workflows, Darktrace empowers security teams to detect, understand, and stop novel threats before they escalate.

Join our Live Launch Event

When? 

December 9, 2025

What will be covered?

Join our live broadcast to experience how Darktrace is eliminating blind spots for detection and response across your complete enterprise with new innovations in Agentic AI across our ActiveAI Security platform. Industry leaders from IDC will join Darktrace customers to discuss challenges in cross-domain security, with a live walkthrough reshaping the future of Network Detection & Response, Endpoint Detection & Response, Email Security, and SecOps in novel threat detection and autonomous investigations.

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
Mikey Anderson
Product Marketing Manager, Network Detection & Response

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December 4, 2025

Atomic Stealer: Darktrace’s Investigation of a Growing macOS Threat

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The Rise of Infostealers Targeting Apple Users

In a threat landscape historically dominated by Windows-based threats, the growing prevalence of macOS information stealers targeting Apple users is becoming an increasing concern for organizations. Infostealers are a type of malware designed to steal sensitive data from target devices, often enabling attackers to extract credentials and financial data for resale or further exploitation. Recent research identified infostealers as the largest category of new macOS malware, with an alarming 101% increase in the last two quarters of 2024 [1].

What is Atomic Stealer?

Among the most notorious is Atomic macOS Stealer (or AMOS), first observed in 2023. Known for its sophisticated build, Atomic Stealer can exfiltrate a wide range of sensitive information including keychain passwords, cookies, browser data and cryptocurrency wallets.

Originally marketed on Telegram as a Malware-as-a-Service (MaaS), Atomic Stealer has become a popular malware due to its ability to target macOS. Like other MaaS offerings, it includes services like a web panel for managing victims, with reports indicating a monthly subscription cost between $1,000 and $3,000 [2]. Although Atomic Stealer’s original intent was as a standalone MaaS product, its unique capability to target macOS has led to new variants emerging at an unprecedented rate

Even more concerning, the most recent variant has now added a backdoor for persistent access [3]. This backdoor presents a significant threat, as Atomic Stealer campaigns are believed to have reached an around 120 countries. The addition of a backdoor elevates Atomic Stealer to the rare category of backdoor deployments potentially at a global scale, something only previously attributed to nation-state threat actors [4].

This level of sophistication is also evident in the wide range of distribution methods observed since its first appearance; including fake application installers, malvertising and terminal command execution via the ClickFix technique. The ClickFix technique is particularly noteworthy: once the malware is downloaded onto the device, users are presented with what appears to be a legitimate macOS installation prompt. In reality, however, the user unknowingly initiates the execution of the Atomic Stealer malware.

This blog will focus on activity observed across multiple Darktrace customer environments where Atomic Stealer was detected, along with several indicators of compromise (IoCs). These included devices that successfully connected to endpoints associated with Atomic Stealer, those that attempted but failed to establish connections, and instances suggesting potential data exfiltration activity.

Darktrace’s Coverage of Atomic Stealer

As this evolving threat began to spread across the internet in June 2025, Darktrace observed a surge in Atomic Stealer activity, impacting numerous customers in 24 different countries worldwide. Initially, most of the cases detected in 2025 affected Darktrace customers within the Europe, Middle East, and Africa (EMEA) region. However, later in the year, Darktrace began to observe a more even distribution of cases across EMEA, the Americas (AMS), and Asia Pacific (APAC). While multiple sectors were impacted by Atomic Stealer, Darktrace customers in the education sector were the most affected, particularly during September and October, coinciding with the return to school and universities after summer closures. This spike likely reflects increased device usage as students returned and reconnected potentially compromised devices to school and campus environments.

Starting from June, Darktrace detected multiple events of suspicious HTTP activity to external connections to IPs in the range 45.94.47.0/24. Investigation by Darktrace’s Threat Research team revealed several distinct patterns ; HTTP POST requests to the URI “/contact”, identical cURL User Agents and HTTP requests to “/api/tasks/[base64 string]” URIs.

Within one observed customer’s environment in July, Darktrace detected two devices making repeated initiated HTTP connections over port 80 to IPs within the same range. The first, Device A, was observed making GET requests to the IP 45.94.47[.]158 (AS60781 LeaseWeb Netherlands B.V.), targeting the URI “/api/tasks/[base64string]” using the “curl/8.7.2” user agent. This pattern suggested beaconing activity and triggered the ‘Beaconing Activity to External Rare' model alert in Darktrace / NETWORK, with Device A’s Model Event Log showing repeated connections. The IP associated with this endpoint has since been flagged by multiple open-source intelligence (OSINT) vendors as being associated with Atomic Stealer [5].

Darktrace’s detection of Device A showing repeated connections to the suspicious IP address over port 80, indicative of beaconing behavior.
Figure 1: Darktrace’s detection of Device A showing repeated connections to the suspicious IP address over port 80, indicative of beaconing behavior.

Darktrace’s Cyber AI Analyst subsequently launched an investigation into the activity, uncovering that the GET requests resulted in a ‘503 Service Unavailable’ response, likely indicating that the server was temporarily unable to process the requests.

Cyber AI Analyst Incident showing the 503 Status Code, indicating that the server was temporarily unavailable.
Figure 2: Cyber AI Analyst Incident showing the 503 Status Code, indicating that the server was temporarily unavailable.

This unusual activity prompted Darktrace’s Autonomous Response capability to recommend several blocking actions for the device in an attempt to stop the malicious activity. However, as the customer’s Autonomous Response configuration was set to Human Confirmation Mode, Darktrace was unable to automatically apply these actions. Had Autonomous Response been fully enabled, these connections would have been blocked, likely rendering the malware ineffective at reaching its malicious command-and-control (C2) infrastructure.

Autonomous Response’s suggested actions to block suspicious connectivity on Device A in the first customer environment.
Figure 3: Autonomous Response’s suggested actions to block suspicious connectivity on Device A in the first customer environment.

In another customer environment in August, Darktrace detected similar IoCs, noting a device establishing a connection to the external endpoint 45.94.47[.]149 (ASN: AS57043 Hostkey B.V.). Shortly after the initial connections, the device was observed making repeated requests to the same destination IP, targeting the URI /api/tasks/[base64string] with the user agent curl/8.7.1, again suggesting beaconing activity. Further analysis of this endpoint after the fact revealed links to Atomic Stealer in OSINT reporting [6].

Cyber AI Analyst investigation finding a suspicious URI and user agent for the offending device within the second customer environment.
Figure 4:  Cyber AI Analyst investigation finding a suspicious URI and user agent for the offending device within the second customer environment.

As with the customer in the first case, had Darktrace’s Autonomous Response been properly configured on the customer’s network, it would have been able to block connectivity with 45.94.47[.]149. Instead, Darktrace suggested recommended actions that the customer’s security team could manually apply to help contain the attack.

Autonomous Response’s suggested actions to block suspicious connectivity to IP 45.94.47[.]149 for the device within the second customer environment.
Figure 5: Autonomous Response’s suggested actions to block suspicious connectivity to IP 45.94.47[.]149 for the device within the second customer environment.

In the most recent case observed by Darktrace in October, multiple instances of Atomic Stealer activity were seen across one customer’s environment, with two devices communicating with Atomic Stealer C2 infrastructure. During this incident, one device was observed making an HTTP GET request to the IP 45.94.47[.]149 (ASN: AS60781 LeaseWeb Netherlands B.V.). These connections targeted the URI /api/tasks/[base64string, using the user agent curl/8.7.1.  

Shortly afterward, the device began making repeated connections over port 80 to the same external IP, 45.94.47[.]149. This activity continued for several days until Darktrace detected the device making an HTTP POST request to a new IP, 45.94.47[.]211 (ASN: AS57043 Hostkey B.V.), this time targeting the URI /contact, again using the curl/8.7.1 user agent. Similar to the other IPs observed in beaconing activity, OSINT reporting later linked this one to information stealer C2 infrastructure [7].

Darktrace’s detection of suspicious beaconing connectivity with the suspicious IP 45.94.47.211.
Figure 6: Darktrace’s detection of suspicious beaconing connectivity with the suspicious IP 45.94.47.211.

Further investigation into this customer’s network revealed that similar activity had been occurring as far back as August, when Darktrace detected data exfiltration on a second device. Cyber AI Analyst identified this device making a single HTTP POST connection to the external IP 45.94.47[.]144, another IP with malicious links [8], using the user agent curl/8.7.1 and targeting the URI /contact.

Cyber AI Analyst investigation finding a successful POST request to 45.94.47[.]144 for the device within the third customer environment.
Figure 7:  Cyber AI Analyst investigation finding a successful POST request to 45.94.47[.]144 for the device within the third customer environment.

A deeper investigation into the technical details within the POST request revealed the presence of a file named “out.zip”, suggesting potential data exfiltration.

Advanced Search log in Darktrace / NETWORK showing “out.zip”, indicating potential data exfiltration for a device within the third customer environment.
Figure 8: Advanced Search log in Darktrace / NETWORK showing “out.zip”, indicating potential data exfiltration for a device within the third customer environment.

Similarly, in another environment, Darktrace was able to collect a packet capture (PCAP) of suspected Atomic Stealer activity, which revealed potential indicators of data exfiltration. This included the presence of the “out.zip” file being exfiltrated via an HTTP POST request, along with data that appeared to contain details of an Electrum cryptocurrency wallet and possible passwords.

Read more about Darktrace’s full deep dive into a similar case where this tactic was leveraged by malware as part of an elaborate cryptocurrency scam.

PCAP of an HTTP POST request showing the file “out.zip” and details of Electrum Cryptocurrency wallet.
Figure 9: PCAP of an HTTP POST request showing the file “out.zip” and details of Electrum Cryptocurrency wallet.

Although recent research attributes the “out.zip” file to a new variant named SHAMOS [9], it has also been linked more broadly to Atomic Stealer [10]. Indeed, this is not the first instance where Darktrace has seen the “out.zip” file in cases involving Atomic Stealer either. In a previous blog detailing a social engineering campaign that targeted cryptocurrency users with the Realst Stealer, the macOS version of Realst contained a binary that was found to be Atomic Stealer, and similar IoCs were identified, including artifacts of data exfiltration such as the “out.zip” file.

Conclusion

The rapid rise of Atomic Stealer and its ability to target macOS marks a significant shift in the threat landscape and should serve as a clear warning to Apple users who were traditionally perceived as more secure in a malware ecosystem historically dominated by Windows-based threats.

Atomic Stealer’s growing popularity is now challenging that perception, expanding its reach and accessibility to a broader range of victims. Even more concerning is the emergence of a variant embedded with a backdoor, which is likely to increase its appeal among a diverse range of threat actors. Darktrace’s ability to adapt and detect new tactics and IoCs in real time delivers the proactive defense organizations need to protect themselves against emerging threats before they can gain momentum.

Credit to Isabel Evans (Cyber Analyst), Dylan Hinz (Associate Principal Cyber Analyst)
Edited by Ryan Traill (Analyst Content Lead)

Appendices

References

1.     https://www.scworld.com/news/infostealers-targeting-macos-jumped-by-101-in-second-half-of-2024

2.     https://www.kandji.io/blog/amos-macos-stealer-analysis

3.     https://www.broadcom.com/support/security-center/protection-bulletin/amos-stealer-adds-backdoor

4.     https://moonlock.com/amos-backdoor-persistent-access

5.     https://www.virustotal.com/gui/ip-address/45.94.47.158/detection

6.     https://www.trendmicro.com/en_us/research/25/i/an-mdr-analysis-of-the-amos-stealer-campaign.html

7.     https://www.virustotal.com/gui/ip-address/45.94.47.211/detection

8.     https://www.virustotal.com/gui/ip-address/45.94.47.144/detection

9.     https://securityaffairs.com/181441/malware/over-300-entities-hit-by-a-variant-of-atomic-macos-stealer-in-recent-campaign.html

10.   https://binhex.ninja/malware-analysis-blogs/amos-stealer-atomic-stealer-malware.html

Darktrace Model Detections

Darktrace / NETWORK

  • Compromise / Beaconing Activity To External Rare
  • Compromise / HTTP Beaconing to New IP
  • Compromise / HTTP Beaconing to Rare Destination
  • Anomalous Connection / New User Agent to IP Without Hostname
  • Device / New User Agent
  • Compromise / Sustained TCP Beaconing Activity To Rare Endpoint
  • Compromise / Slow Beaconing Activity To External Rare
  • Anomalous Connection / Posting HTTP to IP Without Hostname
  • Compromise / Quick and Regular Windows HTTP Beaconing

Autonomous Response

  • Antigena / Network / Significant Anomaly::Antigena Alerts Over Time Block
  • Antigena / Network / Significant Anomaly::Antigena Significant Anomaly from Client Block
  • Antigena / Network / External Threat::Antigena Suspicious Activity Block

List of IoCs

  • 45.94.47[.]149 – IP – Atomic C2 Endpoint
  • 45.94.47[.]144 – IP – Atomic C2 Endpoint
  • 45.94.47[.]158 – IP – Atomic C2 Endpoint
  • 45.94.47[.]211 – IP – Atomic C2 Endpoint
  • out.zip - File Output – Possible ZIP file for Data Exfiltration

MITRE ATT&CK Mapping:

Tactic –Technique – Sub-Technique

Execution - T1204.002 - User Execution: Malicious File

Credential Access - T1555.001 - Credentials from Password Stores: Keychain

Credential Access - T1555.003 - Credentials from Web Browsers

Command & Control - T1071 - Application Layer Protocol

Exfiltration - T1041 - Exfiltration Over C2 Channel

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Dylan Hinz
Cyber Analyst

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December 3, 2025

Darktrace Named as a Leader in 2025 Gartner® Magic Quadrant™ for Email Security Platforms

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Darktrace is proud to be named as a Leader in the Gartner® Magic Quadrant™ for Email Security Platforms (ESP). We believe this recognition reflects what our customers already know: our product is exceptional – and so is the way we deliver it.

In July 2025, Darktrace was named a Customers’ Choice in the Gartner® Peer Insights™ Voice of the Customer for Email Security, a distinction given to vendors who have scores that meet or exceed the market average for both axes (User Interest and Adoption, and Overall Experience). To us, both achievements are testament to the customer-first approach that has fueled our rapid growth. We feel this new distinction from Gartner validates the innovation, efficacy, and customer-centric delivery that set Darktrace apart.

A Gartner Magic Quadrant is a culmination of research in a specific market, giving you a wide-angle view of the relative positions of the market’s competitors. CIOs and CISOs can use this research to make informed decisions about which email security platform can best accomplish their goals. We encourage our customers to read the full report to get the complete picture.

This acknowledgement follows the recent recognition of Darktrace / NETWORK, also designated a Leader in the Gartner Magic Quadrant for Network Detection & Response and named the only Customers’ Choice in its category.

Leaders are recognized for strong market adoption, financial stability, and established integrations with major collaboration platforms.

Why do we believe Darktrace is leading in the email security market?

Our relentless innovation which drives proven results  

At Darktrace we continue to push the frontier of email security, with industry-first AI-native detection and response capabilities that go beyond traditional SEG approaches. How do we do it?

  • With a proven approach that gets results. Darktrace’s unique business-centric anomaly detection catches advanced phishing, supply chain compromises, and BEC attacks – detecting them on average 13 days earlier than attack-centric solutions. That’s why 75% of our customers have removed their SEG and now rely on their native email security provider combined with Darktrace.
  • By offering comprehensive protection beyond the inbox. Darktrace / EMAIL goes further than traditional inbound filtering, delivering account and messaging protection, DLP, and DMARC capabilities, ensuring best-in-class security across inbound, outbound, and domain protection scenarios.  
  • Continuous innovation. We are ranked second highest in the Gartner Critical Capabilities research for core email security function, likely thanks to our product strategy and rapid pace of innovation. We’ve release major capabilities twice a year for nearly five years, including advanced AI models and expanded coverage for collaboration platforms.

We deliver exceptional customer experiences worldwide

Darktrace’s leadership isn’t just about excelling in technology, it’s about delivering an outstanding experience that customers value. Let’s dig into what makes our customers tick.

  • Proven loyalty from our base. Recognition from Gartner Peer Insights as a Customers’ Choice, combined with a 4.8-star rating (based on 340 reviews as of November 2025), demonstrates for us the trust of thousands of organizations worldwide, not just the analysts.  
  • Customer-first support. Darktrace goes beyond ticket-only models with dedicated account teams and award-winning service, backed by significant headcount growth in technical support and analytics roles over the past year.
  • Local expertise. With offices spanning continents, Darktrace is able to provide regional language support and tailored engagement from teams on the ground, ensuring personalized service and a human-first experience.

Darktrace enhances security stacks with a partner-first architecture

There are plenty of tools out there than encourage a siloed approach. Darktrace / EMAIL plays well with others, enhancing your native security provider and allowing you to slim down your stack. It’s designed to set you up for future growth, with:

  • A best-in-breed platform approach. Natively built on Self-Learning AI, Darktrace / EMAIL delivers deep integration with our / NETWORK, / IDENTITY, and / CLOUD products as part of a unified platforms – that enables and enhances comprehensive enterprise-wise security.
  • Optimized workflows. Darktrace integrates tightly with an extended ecosystem of security tools – including a strategic partnership with Microsoft enabling unified threat response and quarantine capabilities – bringing constant innovation to all of your SOC workflows.  
  • A channel-first strategy. Darktrace is making significant investments in partner-driven architectures, enabling integrated ecosystems that deliver maximum value and future-ready security for our customers.

Analyst recognized. Customer approved.  

Darktrace / EMAIL is not just another inbound email security tool; it’s an advanced email security platform trusted by thousands of users to protect them against advanced phishing, messaging, and account-level attacks.  

As a Leader, we believe we owe our positioning to our customers and partners for supporting our growth. In the upcoming years we will continue to innovate to serve the organizations who depend on Darktrace for threat protection.  

To learn more about Darktrace’s position as a Leader, view a complimentary copy of the Magic Quadrant report, register for the Darktrace Innovation Webinar on 9 December, 2025, or simply request a demo.

Gartner, Gartner® Magic Quadrant™ for Email Security Platforms, Max Taggett, Nikul Patel, 3 December 2025

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Darktrace.

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Carlos Gray
Senior Product Marketing Manager, Email
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