Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for NDR, Darktrace brings its powerful, multi-layered AI to your data to neutralize known and unknown threats in real time.
/ NETWORK
Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for NDR, Darktrace brings its powerful, multi-layered AI to your data to neutralize known and unknown threats in real time.

Darktrace customers






























The challenge
rise in number of ransomware victims between 2022 and 2023
(Security Affairs)
of security professionals are seeing AI-powered cyber threats significantly impact their organizations
(Security Affairs)


Darktrace / NETWORK
Detection
While other NDR vendors process your data in the cloud as part of globally trained models, we bring our Self-Learning AI™ directly to your data, preserving your privacy while delivering customized security outcomes, tailored to each unique environment and ready for novel threats.
Get full visibility across your on-prem, virtual, cloud and hybrid networks, including remote worker endpoints, OT devices and ZTNA
Self-Learning AI continuously analyzes every connection, device, identity and attack path for unusual behavior, including decrypted and encrypted traffic analysis
Our AI continually tunes itself to cut through the noise and improve detection accuracy, saving you the hassle of manual tuning



While other NDR vendors process your data in the cloud as part of globally trained models, we bring our Self-Learning AI™ directly to your data, preserving your privacy while delivering customized security outcomes, tailored to each unique environment and ready for novel threats.
Get full visibility across your on-prem, virtual, cloud and hybrid networks, including remote worker endpoints, OT devices and ZTNA
Darktrace / NETWORK™ leverages the power of Cyber AI Analyst™, which continually performs end-to-end investigations of thousands of anomalous or risky alerts and prioritizes the ones with the most potential to impact your business.
Unlike prompt-based chatbots, Cyber AI Analyst™ brings cognitive automation to your SOC team, autonomously forming hypotheses and reaching conclusions just like a human would.
Cyber AI Analyst™ investigates suspicious network activity to identify previously unseen threats without relying on threat intelligence or signatures to be available first. Secondary STIX/TAXII intelligence can also be ingested to detect known threats or create custom detections based on existing IoCs.
Cyber AI Analyst™ tracks connections and events across your network, endpoints, cloud, identities, OT, email, and remote devices, helping you detect modern threats that traverse your entire digital estate.
Resource
Discover the unique features and capabilities of Darktrace / NETWORK in more detail
Find out how Darktrace / NETWORK increased threat detection accuracy by 90% in one customer environment

Autonomous response
Rapidly contains and disarms threats based on the context of the environment and a granular understanding of what is normal for a device or user
Darktrace autonomously takes the most effective response to network threats, while remaining fully customizable to suit the needs of your organization
Targeted response actions can be taken natively or via integrations with your existing security investments. Darktrace’s open API architecture means there’s no need for complex or costly development
Darktrace goes beyond traditional NDR solutions, helping to reduce the impact of alerts on your security teams, so they can refocus their time on proactive security measures and reducing cyber risk.
Stop cyber risks from becoming reality with cross-stack attack path modeling, threat and vulnerability management, and AI risk assessments that understand your business.
An AI recovery and incident simulation engine that uplifts teams, optimizes IR processes, and reduces the impact of active cyber-attacks using an understanding of your unique business data.
Our expert SOC analysts monitor your Darktrace environment 24/7 to detect, triage, investigate and escalate response actions for the highest priority alerts across network, cloud, OT, endpoints and SaaS applications – freeing up your team to focus on security outcomes and proactive tasks.
Analyst Recognition
Darktrace / NETWORK is not just another NDR tool, it’s a platform that empowers security teams to operate at the speed and scale of AI. From real-time threat detection and autonomous response to proactive risk management, we’re transforming network security from reactive to resilient.
Named a Leader in multiple industry reports — Gartner, IDC, & KuppingerCole
Driving SOC transformation by shifting to an AI-led SOC
Going beyond traditional NDR — Build proactive network resilience
Over 10,000 customers trust Darktrace’s application of AI to NDR

/ NETWORK
Integrating Network Detection and Response (NDR) tools with other cybersecurity solutions enhances an organization’s threat detection and response capabilities. NDR tools monitor network traffic to identify suspicious activities and patterns, making them an excellent complement to Endpoint Detection and Response (EDR) and Security Information and Event Management (SIEM) systems. NDR helps to fill the gaps left by EDR, expanding visibility from individual devices to network-wide threats, offering a broader perspective on attacks that may bypass traditional endpoint defenses.
NDR tools can also be integrated with firewalls to provide enriched threat intelligence and respond to network threats. When unusual traffic patterns or network anomalies are detected, NDR can alert the firewall, which may then block or restrict access based on predefined rules. Additionally, NDR integrates well with SIEM systems, feeding network-level data into the SIEM for centralized monitoring and comprehensive analysis of potential threats across an organization. By combining these technologies, security teams gain holistic visibility and can correlate data from various sources for a stronger defense against multi-stage attacks.
Most NDR vendors on the market and traditional solutions such as Intrusion Detection Systems (IDS) or Intrusion Prevention Systems (IPS) rely on detecting known attacks with historical data such as external threat intelligence, signatures and detection rules, leaving organizations vulnerable to novel threats. This legacy approach to threat detection means that at least one organization needs to fall victim to a novel attack before it is formally identified. It also produces a vast number of false positives, since most vendors apply models that are trained globally and are not specific to a particular organization or the context of their unique environment.
When choosing an NDR solution, it’s essential to evaluate specific features that enhance network visibility, threat detection, investigation and response capabilities. Some organizations can benefit from NDR solution that use anomaly detection and AI, enabling detection of abnormal network behavior. Darktrace / NETWORK uses multi-layered AI to learn what is normal behavior for your organization, detecting any activity that could cause business disruption, and autonomously responds to both known and previously unseen threats in real time.
Another key feature is integration with other cybersecurity tools, such as SIEM, EDR, and firewalls. This compatibility ensures that the NDR solution can feed valuable data into a centralized system, providing a comprehensive view of potential threats across the organization. Additionally, autonomous response capabilities are crucial for reducing the total damage and dwell time of an attack. Some autonomous response solutions, like Darktrace / NETWORK, can take immediate action without causing business disruption, these actions include isolating infected devices, forcing a user to reauthenticate, or blocking suspicious IP addresses.
An NDR solution should also offer scalable architecture to support growing network environments, along with real-time alerting and detailed forensic capabilities. These allow security teams to investigate incidents thoroughly and trace the origin of attacks. Unlike chat or prompt-based LLMs that create static incident summaries, Darktrace’s Cyber AI Analyst continually analyzes and contextualizes every relevant alert in your network, autonomously forming hypotheses and reaching conclusions just like a human analyst would, saving your team a significant amount of time and resources.
The effectiveness of an NDR solution is measured by its ability to provide early and accurate detection of threats, enable rapid and effective incident response, and reduce the overall risk to your organization. Focus on whether a platform provides complete visibility across your on-premise, virtual, cloud, and hybrid networks, including remote worker endpoints, OT devices, and ZTNA. Also, consider its effectiveness in reducing alert fatigue and improving your security posture.
There are several useful evaluation methods, such as live traffic analysis. Can you analyze real-time network traffic and detect anomalous behavior? Look for demonstrations of the tool's abilities to detect subtle indicators of compromise that bypass traditional security controls. Also, conduct simulated attacks to evaluate the system's detection and response capabilities against various adversaries and scenarios.Consider alert prioritization and enrichment too. Does the platform prioritize security alerts based on severity and potential impact? Look for features that automatically enrich alerts with contextual information to aid in investigation.
To streamline workflows and enhance incident response, evaluate the tool's ability to integrate with your existing security infrastructure, including SIEM and SOAR platforms. Finally, assess the NDR platform's effectiveness in improving analyst workflow efficiency. Look for features that automate tasks and reduce manual effort. The platform should also provide actionable insights so teams can move from a reactive to a proactive security posture.
The effectiveness of an NDR solution is measured by its ability to provide early and accurate detection of threats, enable rapid and effective incident response, and reduce the overall risk to your organization. Focus on whether a platform provides complete visibility across your on-premise, virtual, cloud, and hybrid networks, including remote worker endpoints, OT devices, and ZTNA. Also, consider its effectiveness in reducing alert fatigue and improving your security posture.
There are several useful evaluation methods, such as live traffic analysis. Can you analyze real-time network traffic and detect anomalous behavior? Look for demonstrations of the tool's abilities to detect subtle indicators of compromise that bypass traditional security controls. Also, conduct simulated attacks to evaluate the system's detection and response capabilities against various adversaries and scenarios.Consider alert prioritization and enrichment too. Does the platform prioritize security alerts based on severity and potential impact? Look for features that automatically enrich alerts with contextual information to aid in investigation.
To streamline workflows and enhance incident response, evaluate the tool's ability to integrate with your existing security infrastructure, including SIEM and SOAR platforms. Finally, assess the NDR platform's effectiveness in improving analyst workflow efficiency. Look for features that automate tasks and reduce manual effort. The platform should also provide actionable insights so teams can move from a reactive to a proactive security posture.
The effectiveness of an NDR solution is measured by its ability to provide early and accurate detection of threats, enable rapid and effective incident response, and reduce the overall risk to your organization. Focus on whether a platform provides complete visibility across your on-premise, virtual, cloud, and hybrid networks, including remote worker endpoints, OT devices, and ZTNA. Also, consider its effectiveness in reducing alert fatigue and improving your security posture.
There are several useful evaluation methods, such as live traffic analysis. Can you analyze real-time network traffic and detect anomalous behavior? Look for demonstrations of the tool's abilities to detect subtle indicators of compromise that bypass traditional security controls. Also, conduct simulated attacks to evaluate the system's detection and response capabilities against various adversaries and scenarios.Consider alert prioritization and enrichment too. Does the platform prioritize security alerts based on severity and potential impact? Look for features that automatically enrich alerts with contextual information to aid in investigation.
To streamline workflows and enhance incident response, evaluate the tool's ability to integrate with your existing security infrastructure, including SIEM and SOAR platforms. Finally, assess the NDR platform's effectiveness in improving analyst workflow efficiency. Look for features that automate tasks and reduce manual effort. The platform should also provide actionable insights so teams can move from a reactive to a proactive security posture.
The effectiveness of an NDR solution is measured by its ability to provide early and accurate detection of threats, enable rapid and effective incident response, and reduce the overall risk to your organization. Focus on whether a platform provides complete visibility across your on-premise, virtual, cloud, and hybrid networks, including remote worker endpoints, OT devices, and ZTNA. Also, consider its effectiveness in reducing alert fatigue and improving your security posture.
There are several useful evaluation methods, such as live traffic analysis. Can you analyze real-time network traffic and detect anomalous behavior? Look for demonstrations of the tool's abilities to detect subtle indicators of compromise that bypass traditional security controls. Also, conduct simulated attacks to evaluate the system's detection and response capabilities against various adversaries and scenarios.Consider alert prioritization and enrichment too. Does the platform prioritize security alerts based on severity and potential impact? Look for features that automatically enrich alerts with contextual information to aid in investigation.
To streamline workflows and enhance incident response, evaluate the tool's ability to integrate with your existing security infrastructure, including SIEM and SOAR platforms. Finally, assess the NDR platform's effectiveness in improving analyst workflow efficiency. Look for features that automate tasks and reduce manual effort. The platform should also provide actionable insights so teams can move from a reactive to a proactive security posture.
The effectiveness of an NDR solution is measured by its ability to provide early and accurate detection of threats, enable rapid and effective incident response, and reduce the overall risk to your organization. Focus on whether a platform provides complete visibility across your on-premise, virtual, cloud, and hybrid networks, including remote worker endpoints, OT devices, and ZTNA. Also, consider its effectiveness in reducing alert fatigue and improving your security posture.
There are several useful evaluation methods, such as live traffic analysis. Can you analyze real-time network traffic and detect anomalous behavior? Look for demonstrations of the tool's abilities to detect subtle indicators of compromise that bypass traditional security controls. Also, conduct simulated attacks to evaluate the system's detection and response capabilities against various adversaries and scenarios.Consider alert prioritization and enrichment too. Does the platform prioritize security alerts based on severity and potential impact? Look for features that automatically enrich alerts with contextual information to aid in investigation.
To streamline workflows and enhance incident response, evaluate the tool's ability to integrate with your existing security infrastructure, including SIEM and SOAR platforms. Finally, assess the NDR platform's effectiveness in improving analyst workflow efficiency. Look for features that automate tasks and reduce manual effort. The platform should also provide actionable insights so teams can move from a reactive to a proactive security posture.