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Stop Evasive Attacks

Leading the next generation of threat prevention for an increasingly AI-driven world

Identify and stop evolving ransomware, spear-phishing, and AI-powered social engineering attacks that bypass existing security and target your employees 

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Successful Attacks Evade Legacy Tools

Legacy URL/malware detection technologies (signature based, sandboxes, endpoint security, etc.) rely on finding and classifying a malicious payload to stop threats. 

Attackers continuously evade these technologies easily, leading to  ransomware impacting 1 in 10 organizations, and a 341% yearly increase in phishing.

 

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Baseline Analysis for BEC Does Not Scale

Traditional Business Email Compromise (BEC) detection requires a baseline analysis of VIP employee behavior.

This approach lacks the scalability and performance to monitor every employee, and is immune to current BEC tactics which target everyone in the organization. 

 

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AI Delivers New Attacks at the Speed of Spam

Attacks are instantly iterated with AI to generate variations of BEC conversational payloads that bypass pre-trained classifiers, and human scrutiny.

New AI, purpose-built to craft evasive malicious payload at scale, will exponentially change the speed and scale of attack delivery, overwhelming existing technologies.

 

Email Attacks Will Remain The Primary Attack Vector for Years

Attackers prey on employee strengths, exploiting responsiveness, speed, trust, and work ethic to take advantage of easy targets.

Relying on employees as a last line of defense is inefficient, unfair and increasingly ineffective against AI-built attacks.

  • Increasing use of QR-codes, malicious links, and other sandbox-evading tactics mean more threats are bypassing security and getting delivered into inboxes.
  • Business Email Compromise (BEC) is on the rise, and with the power of malicious AI, soon attacks will be indistinguishable from typical communications.
  • Attackers no longer need time to design new campaigns - successful attacks can be cloned and iterated in seconds for a threat scale never before seen.

Inception Cyber Uses Intent Analysis to
Stop Evasive Threats Without False Positives

Compared to existing tools, our patent pending Neural Analysis and Correlation Engine (NACETM) is proven to stop more attacks:
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49%

More HTML Smuggling Attacks

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74%

More Phishing
Attacks

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46%

More PDF Downloader Attacks

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5

Or Fewer False Positives/Million

Intent Analysis Stops Threats That Nothing Else Can

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Phishing &
Malicious URLs

Malicious URLs bypass Sandboxes,Reputation, Domain analysis and Reach Inboxes Daily

Conversational attacks mimic real business communications more accurately than ever, with perfect grammar, tone, and language. 

NACETM Intent Analysis stops malicious URLs via a deep semantic engine trained on 10+ years of emails. With this deep training, NACETM accurately detects the underlying intent behind the delivery of malicious URLs by analyzing email semantics, thematic meaning, and URL auxiliary information to identify malicious URLs without needing to follow them to their ultimate destination/landing URLs.

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Ransomware &
Malicious Attachments

Never Ending Evasive Attacks Hide Payloads
to Evade Existing Tools

The volume and cost challenges of detection technologies like sandbox scanning, lead to selective scanning, limited analysis, and regular attack bypass.

NACETM Intent Analysis does not need malicious payload analysis or malware detonation to stop existing or 0-day malware-based attacks. NACETM understands email intent through semantic and thematic analysis using LLMs and Gen AI, and uses that as a feature set to identify and stop attacks, all without reliance upon a malicious payload or malicious behavior.

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BEC & Conversational Payload

Malicious AI makes impersonating employees easier and more lucrative than ever before

Gen AI excels at generating variants of tone, topic, and content to bypass fine tuned classifiers, leaving humans as the last/only line of defense against scams.

NACETM Intent Analysis uses a patent pending. multimodal, semantic-aware approach to stop BEC by understanding topics, tone, sentiment, and tactics, and via zero-trust validation. Multiple patent pending zero-shot analyses are resilient to semantic variations, even those made by AI. For Zero-trust validation, NACE uses out-of-band sender verification to separate BEC threats from legitimate messages.

Save Remediation Time

Near-Zero False Positives

Intent Analysis means that NACE is as good at stopping threats as it is at allowing true business communication.  False positives are typically as low as 3-5 messages/month, well inside any team's ability to investigate.

Unburden Employees

Stop Threats Early

Unlike most tools that leave regular employees to be the final arbiter of whether or not a message presents real risk, NACE uses the same semantic and thematic analysis that security experts use to identify and stop risk before it reaches employees.

Reduce Monthly Spend

Value-Based Pricing

NACE is built on a modern, scalable cloud-native platform that has well understood costs, and highly efficient engines.  We are so confident in our ability to catch what others can't, that we don't charge unless we prove our worth.

See What 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 evasive threats are slipping through your defenses with our free assessment.

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Raves and Accolades for Inception Cyber Intent Analysis

Stopping more threats, saving SOC analysis time, and eliminating remediation effort

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Inception Cyber has been selected to present their research, “Harnessing Language Models for the Detection of Evasive Malicious Email Attachments,” at the prestigious peer reviewed Black Hat MEA 2024 conference! 

 

 

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Black Hat MEA
Cybersecurity's
Global Stage
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Inception Cyber has been selected to present their research, “Harnessing Language Models for the Detection of Evasive Malicious Email Attachments,” at the prestigious peer reviewed AVAR 2024 cyber security conference! 

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AVAR 2024
27th Annual Cyber Security Conference
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We're thrilled to announce that Inception Cyber has been accepted into the NVIDIA Inception Program for technology startups working on AI and deep learning!

Nvidia Round
NVIDIA
Inception Program for AI Startups

Let's Get Technical

Learn more about how Inception Cyber is revolutionizing the way to prevent the evasive threats of today, and the future.

How a Sophisticated Credential Phishing Email Bypassed Google Workspace Filters

Phishing attacks continue to evolve in complexity, leveraging tactics to bypass even advanced email security solutions like Google Workspace (G-Suite) filters. In one of our ...
Kalpesh Mantri, Principal Research Engineer
Kalpesh Mantri, Principal Research Engineer

Neural Analysis and Correlation Engine vs. AI Generated Malware

In our blog, ‘Staying Ahead: Understanding the Latest Email Evasion Tactics,’ based on an analysis of the latest threats, we delve into the details of today’s malicious ...
Abhishek Singh, Inception Cyber Co-Founder and CTO
Abhishek Singh, Inception Cyber Co-Founder and CTO

InceptionCyber.ai to present research at AVAR 2024 & BlackHat MEA 2024

Transforming BEC Protection Against Generative AI Evasions with Deep Learning, Zero-Shot Classification, and Zero-Trust Principles

Rethinking Threat Prevention with an Evasion-first Mindset

Staying Ahead: Understanding the Latest Email Evasion Tactics

Harnessing Language Models to Stop Evasive Malicious Email Attachments/URLs

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