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Intent AI: Protect Against Ransomware and Malicious Attachments

NACETM does not rely on any malicious payload, negating evasive malware by analyzing the intent of the email itself.  We call it Intent AI.

This novel technology means Inception Cyber stops sophisticated and never-before-seen malware attacks before they can gain a foothold, whether built by humans, or powered by AI.

RansomwareSum
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Problem

Modern Ransomware is Built to Evade Traditional Security 

By 2031, ransomware is expected to cost $265 billion annually, striking every 2 seconds. With Ransomware-as-a-Service (RaaS) lowering entry barriers, attacks are more profitable than ever—disrupting operations, costing millions in recovery, and exposing businesses, executives, and boards to serious legal and regulatory risks. Attackers leverage sophisticated evasion techniques to hide payloads, enabling ransomware to bypass traditional email security.


ProblemAI

AI is Evolving Ransomware Faster Than Legacy Defenses Can Keep Up

The emergence of Generative AI and models like FraudGPT, GhostGPT, and DeepSeek has dramatically increased the scale, precision, and variance of ransomware attacks. AI allows threat actors to scale up campaigns faster and smarter than ever before. As threat actors continue refining evasion tactics, organizations relying on legacy defenses will always be one step behind.

This isn’t just an evolution—it’s an arms race.

MalwaretoAI
1
Scale

Legacy technology struggles to detect ransomware due to evasion techniques applied to payloads. Generative AI enables the automated addition of both known and novel evasions at scale, obscuring malware's malicious behavior and payload during analysis, further increasing its ability to evade detection.

2
Precision
AI-generated emails mimic real business communication, making them nearly indistinguishable from legitimate messages. This precision enables attackers to craft ransomware delivery emails that evade detection and manipulation safeguards, increasing the likelihood of successful execution.
3
Variance
Generative AI can create variants of malicious code at scale. Security that relies on static scanning or file-based features, such as decision tree models, can be evaded if it can't account for variations. For instance, dead code insertion allows AI to artificially increase file size, effectively bypassing legacy detection.

MalwareAIAnalysis
SolutionAI

A Radically Different Approach—Detection Without the Malicious Payload 

Traditional solutions recursively scan files or auto-download links to find malware, techniques attackers evade with cleverly obfuscated payloads specifically built to slip past legacy technology. 

NACETM Intent Analysis leverages advanced AI-driven techniques to deeply analyze and derive the purpose i.e. intent of an email—whether authored by AI, legitimate users, or threat actors. By leveraging pre-trained and fine-tuned neural networks, zero-shot semantic classification with LLMs, hierarchical topic modeling, phrase topic modeling, named entity recognition (NER), optical character recognition (OCR) and sentence transformers, NACETM accurately extracts the true intent behind an email.

The contextual relationship between intent, the SMTP headers and the auxiliary information from attachments aids to classify attachments as malicious or benign without needing a malicious payload.

NACETM does not rely on any malicious payload, negating evasive malware by analyzing the intent of the email itself.


No Execution/ Detonation

Unlike traditional post-execution detection technologies like EDR, XDR, or deception that trigger on execution, NACETM detects and blocks ransomware and other malware preemptively, reducing any clean up cost.

Intent
Analysis

Trained on over a decade of real-world email data, NACETM excels at isolating intent commonly exploited by threat actors to deliver malicious attachments. Its multi-layered approach ensures robust detection, even when adversaries attempt obfuscation through paraphrasing, linguistic manipulation, AI-generated content or multi language.

Evasion
Agnostic

Because NACETM doesn’t rely on the presence of a malicious payload, it is immune to the evasion tactics employed by human threat actors and AI, such as HTML smuggling, embedded scripts, or encrypted file attacks.

Why Inception Cyber for Ransomware and Malware

AI-powered threats demand AI-powered defense.

Inception Cyber is leading the way in stopping the ransomware and malware-based email attacks that are purpose-built to evade detection.

Stops Breaches Before Execution

Traditional tools often detect ransomware after it reaches the endpoint, increasing reliance on EDR solutions. NACE stops threats before they land, reducing security team burden.

Immune to Evasion Techniques

Because NACETM doesn’t rely on analyzing the actual attachment, we are less affected by evasion techniques designed to hide payloads from traditional scanners.

10 Minutes to Value

Since we don't need to build deep employee datasets—which take other vendors 30 days or more—our NACETM pre-trained model begins stopping threats as soon as it is deployed.

Read how NACETM is Stopping Malware and Ransomware

See our walkthroughs and step-by-step breakdowns of real-world evasive malware and ransomware attacks, and how Inception Cyber NACETM stops them when other technologies can't.

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Kalpesh Mantri, Principal Research Engineer
Kalpesh Mantri, Principal Research Engineer

Why Inception Cyber Stands Apart in Email Security

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Bill Mann, Co-founder and CEO
Bill Mann, Co-founder and CEO

Harnessing Language Models to Stop Evasive Malicious Email Attachments/URLs

See What Ransomware and Malware Attacks Your Tools are Missing

Whether you're looking to add defense in depth, replace a legacy secure email gateway, or just see whether employee behavior-based tools are actually as good as they promise, we welcome every chance to go head-to-head with the previous generations of email security.

See what BEC threats are slipping through your defenses with our free assessment.

MalwareSummary
Inception Cyber Neural Analysis and Correlation Engine (NACETM) : Leading the next generation of threat prevention in an AI-driven world