APTs have evolved, and so should your security. From advanced malware to zero-day exploitation, learn how Darktrace's unique approach to security helps you stay one step ahead.
Stay ahead of APT groups
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Darktrace customers
APT attack trends
What vulnerabilities are APTs targeting?
Ivanti CS & PS
The widespread exploitation of these vulnerabilities was mirrored across Darktrace’s customer base in early 2024
PAN OS firewall devices
Darktrace's SOC detected recurring malicious activity linked to Palo Alto firewall appliances, raising security concerns.
Why Darktrace?
Built to defend against unknown threats
APTs are increasingly probing for vulnerabilities in software before they are disclosed. Darktrace’s Self-Learning AI is uniquely positioned to alert to anomalous activity revealing early signs of a threats and vulnerabilities without relying on rules, signatures, or CVEs
Build unique behavioral profiles for organizations
Darktrace ingests live data from across your digital environment to continuously learn and adapt, while integrating with third-party data and alerts to provide a comprehensive view of emerging threats
Real-time detection
Darktrace’s AI assesses threats based by detecting subtle anomalies that signal an attack. This unique approach accurately detects known, unknown, and novel threats at scale that rules and signatures can’t pick up
Autonomous response
Contain sophisticated attacks at the earliest signs of suspicious activity with precise response actions that avoid business disruption
Accelerate your investigations
Darktrace's Cyber AI Analyst finds connections between isolated events and surfaces full security incidents, prioritized and contextualized. It has saved security teams the equivalent of up to 50,000 hours of investigation time per year.
Customer story
Why EverLine chose Darktrace to help secure critical infrastructure
EverLine provides full-spectrum services to energy and infrastructure customers, protecting oil and gas pipelines, electric power generators, transportation, and other critical infrastructure. It relies on Darktrace to defend against sophisticated attacks, novel TTPs, and insider threats, enabling incident responders to contain attacks in the earliest phases before they threaten operations
Threat story: APT
How Darktrace stopped an AiTM attack exploiting a zero-day vulnerability
Explore how Darktrace's AI was able to detect of a sophisticated attack that leveraged AiTM tactics
Threat story: APT
How Darktrace stopped an AiTM attack exploiting a zero-day vulnerability
Explore how Darktrace's AI was able to detect of a sophisticated attack that leveraged AiTM tactics
Initial intrusion via phishing
A user received a phishing email masquerading as a Dropbox file share notification. The email originated from IP 54.240.39[.]219 and contained multiple payload links to Dropbox-associated hostnames.
Darktrace flagged the message based on anomaly indicators and flagged its abuse of a legitimate cloud-sharing service
AiTM attack and token theft
After the user interacted with the Dropbox link, Darktrace/ IDENTITY detected suspicious authentication behavior. The attack leveraged AiTM techniques to steal MFA tokens and credentials, allowing the attacker to bypass MFA and impersonate the user
Unusual login and persistence attempt
The compromised account accessed Microsoft 365 from an unusual IP address in Kenya (41.90.175[.]46). Around the same time, it attempted to register new MFA details using Microsoft Authenticator from IP 13.74.161[.]104.
Darktrace identified this rare behavior and detected simultaneous logins from geographically distant locations—an indicator of compromise
Autonomous containment and SOC escalation
Darktrace’s autonomously disabled the compromised account, halting the attacker’s access. The incident was escalated to Darktrace’s Security Operations Center (SOC), which confirmed the compromise and extended containment measures. The customer was promptly notified, and further remediation steps were taken
Get ahead of APTs
Get proactive about Advanced Persistent Threats – prioritize on true cyber risk and harden defenses ahead of time
APT attack mapping
MITRE techniques are mapped to APT groups, giving you insights into the likelihood and impact of attacks in your environment
Mitigate your risks
In cases where patches are unavailable or can’t be applied, get mitigation advice that hardens the attack path
See your most at risk users
Discover your riskiest users and assets based on liability, access, and exposure, and then shore up defenses around them
Go beyond simple patch lists
Get prioritized mitigation steps paired with their potential risk outcomes, making it easier to take proactive steps toward greater resilience
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Recommended resources
Further resources on APTs
White paper
A Guide to Proactive IT Security
This white paper explores the challenges, benefits, and strategies needed to shift toward preventing attacks, saving time and resources, and avoiding business disruption.
Threat analysis
A Guide to Proactive IT Security
Detecting State-Linked ShadowPad MalwareDarktrace identified a cluster of intrusions involving the state-linked malware, ShadowPad. This blog details ShadowPad and the associated activities detected by Darktrace.
See Darktrace in action
Protect your business from ransomware. See what Darktrace AI finds in your environment.
ActiveAI Security Platform
Cyber resilience across the entire business
Advanced Persistent Threats
Frequently asked questions
How does Darktrace detect stealthy APT attacks that try to blend in with regular network activity?
Darktrace detects stealthy APT attacks by focusing on behavioral analysis rather than signature-based detection. APTs often attempt to blend in with regular network activity by mimicking legitimate user behavior and using encryption to evade detection. Darktrace learns the normal behavior of users and devices and flags deviations from this baseline, such as unexpected access to sensitive data or unusual network traffic patterns. This helps identify APTs that try to remain hidden.
How does Darktrace detect APT groups that use novel or signatureless malware to bypass traditional security measures?
Darktrace uses Self-Learning AI to build a real-time understanding of what is normal across your digital environment — including users, devices, cloud workloads, and applications. This allows it to detect subtle deviations that may indicate the presence of novel or signatureless malware, without relying on known threat indicators or static rules.
Rather than focusing on what malware looks like, Darktrace focuses on what it does. This enables it to identify early-stage behaviors like command-and-control communication, internal reconnaissance, or unusual data access patterns — even if the malware has never been seen before.
What makes Darktrace effective at detecting attacks from nation-state actors targeting critical infrastructure?
Nation-state attackers often operate slowly, stay hidden for long periods, and use highly customized tools to evade detection. Darktrace is effective in these environments because it continuously monitors network, OT, and IT environments, building a unique baseline of normal behavior for each environment.
When an attacker attempts to move laterally, escalate privileges, or exfiltrate data, even using legitimate credentials or tools, Darktrace spots the behavioral anomalies that signal a compromise. This is especially important in critical infrastructure, where attackers may use "living off the land" techniques that go undetected by traditional tools.
What role does Darktrace play in defending against attacks where APT groups use email as a primary vector for socially engineered phishing attacks?
Darktrace extends its AI-led security capabilities to the email landscape with Darktrace / EMAIL. It analyzes tone, payloads, header anomalies, and historical communication patterns to detect and stop socially engineered phishing emails, even when they come from trusted accounts.