TrendAI and CleanDNS Join Forces to Eradicate Cybercriminal Infrastructure at the Source

Introduction

The modern cyber threat landscape is evolving faster than traditional defenses can keep up with.
Attackers no longer rely on isolated malicious tools but instead operate large-scale, distributed infrastructures that power phishing, malware delivery, and data theft.
In response, cybersecurity leaders are shifting from passive defense to proactive disruption.
A new partnership between TrendAI™ and CleanDNS represents one of the most aggressive steps yet in this direction, aiming not only to block threats but to remove them from the internet entirely.
This collaboration signals a major transformation in how cybercrime infrastructure is detected, analyzed, and dismantled across the global DNS ecosystem.

Summary of the Original

The partnership between TrendAI™ and CleanDNS introduces a new cybersecurity model focused on eliminating attacker infrastructure rather than simply blocking it at the endpoint level.
Traditional blocking methods protect individual users but leave malicious domains active on the internet, allowing attackers to reuse them for future campaigns.
This new initiative extends protection across the entire internet by actively removing malicious domains through coordinated takedown processes.
TrendAI™ leverages agentic AI systems and machine learning models to identify cybercriminal infrastructure in near real time, focusing on threats such as infostealers, phishing-as-a-service platforms, loaders, and remote access trojans.
These threats are considered “left-of-the-kill-chain” because they operate at the earliest stages of cyberattacks, before payload delivery occurs.
By targeting these early-stage tools, TrendAI™ aims to prevent entire attack chains from ever being executed.
The company reportedly blocks hundreds of malicious domains daily, often identifying them at the moment of creation before they are operationalized.
However, until recently, this protection was limited to TrendAI™ customers only.
CleanDNS expands this impact by working directly with registrars and registries to process abuse cases and execute domain suspensions or sinkholing actions.
Their system integrates with DNS infrastructure operators to ensure faster and more structured takedown workflows.
Each malicious domain identified by TrendAI™ is accompanied by detailed evidence packages to support enforcement actions.
CleanDNS then escalates these cases through contractual channels, enabling rapid remediation that can occur within minutes in some cases.
The partnership enables a pipeline where detection, validation, and removal are tightly connected.
A real-world example involving the Lumma Stealer command-and-control domain demonstrates how a malicious domain can be detected, verified, escalated, and mitigated in just over a day.
This process highlights a shift toward near real-time global disruption of cybercriminal infrastructure.
Both organizations emphasize scalability, automation, and high-confidence detection to improve efficiency and reduce response time.
The ultimate goal is to remove entire clusters of malicious infrastructure, not just isolated domains.
This model represents a shift from reactive cybersecurity to proactive internet-wide threat eradication.

What Undercode Say:

Cybersecurity has traditionally been built around containment rather than elimination.
Most defensive systems focus on stopping attacks at the point of contact, not dismantling the systems that enable them.
This partnership between TrendAI™ and CleanDNS represents a structural shift in that philosophy.
Instead of waiting for malicious traffic, the system actively hunts infrastructure before it is weaponized.
The use of AI-driven detection allows for continuous monitoring of emerging domains linked to malware ecosystems.
This significantly reduces the time attackers have to operate unchallenged infrastructure.
By targeting infostealers, loaders, and phishing services, the approach focuses on the root economy of cybercrime.
These services act as the supply chain for nearly all modern cyberattacks, including ransomware operations.
Disrupting them early creates cascading effects across multiple threat actors simultaneously.
The “left-of-the-kill-chain” strategy is particularly effective because it removes the foundation of attack execution.
However, reliance on automation introduces risks of false positives if detection models drift or are manipulated.
The integration with CleanDNS adds a human-infrastructure enforcement layer that helps validate and execute takedowns.
This hybrid model of AI detection plus registry-level enforcement is what makes the system scalable.
It transforms cybersecurity from a defensive perimeter model into an offensive disruption framework.
The speed of takedown, reportedly within hours or days, increases pressure on cybercriminal adaptability.
Attackers may be forced to shorten infrastructure lifespans or increase domain rotation frequency.
This increases operational costs for threat actors and reduces campaign stability.
The real impact lies not only in removal but in deterrence through uncertainty and rapid disruption.
If widely adopted, this model could redefine how DNS abuse and cybercrime ecosystems are handled globally.
It suggests a future where malicious infrastructure is treated as transient rather than persistent.
Ultimately, this approach shifts cybersecurity closer to real-time internet hygiene enforcement at scale.

Fact Checker Results

✔ The partnership between detection providers and DNS abuse platforms is a known cybersecurity strategy.
✔ AI-based threat detection and infrastructure takedown workflows are widely used in modern cyber defense.
✔ Exact response times and operational performance metrics may vary depending on infrastructure and cannot be universally verified.

Prediction

Cybercriminal infrastructure will become more fragmented as takedown speeds increase.
Attackers are likely to adopt faster domain churn and decentralized hosting models to evade disruption.
AI-driven detection systems will evolve into real-time global enforcement networks.
Future cybersecurity operations will increasingly resemble active cyber policing rather than passive defense.