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Stop
Attacks

Intent-Based Security:
Leading the next generation of threat prevention for an increasingly AI-driven world

Identify and stop evolving AI or threat actor generated ransomware, spear-phishing, and social engineering attacks that bypass existing security and target employees

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Successful Attacks Evade Legacy Tools

Legacy 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

New AI, purpose-built to craft evasive malicious payload, is exponentially changing the scale, precision, and variance of attack delivery, overwhelming existing technologies.

Attacks are instantly iterated with AI to generate variations that bypass sandboxes, scanners, pre-trained classifiers, and human scrutiny.

 

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.

Real World Deployment Data and Benchmarks

Compared to existing tools, and the 2024 VirusTotal evasive email dataset, our patent pending
Neural Analysis and Correlation Engine (NACETM) is proven to stop more attacks:
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93%

of evasive attacks bypass traditional defenses

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50%

More phishing & malware detected
by NACETM

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1

in 50 employees exposed to advanced email threats/month

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5

or fewer
false positives
per month

Intent Analysis Stops Threats That Nothing Else Can

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Ransomware &
Malicious Attachments

Never Ending Evasive Attacks Hide Payloads to Evade Existing Tools

NACETM takes a first principles approach, making decisions without relying on malicious payloads—whether from threat actors or AI—making it completely immune to evasions.

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Phishing &
Malicious URLs

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

NACETM leverages Generative and Predictive AI to understand the intent of an email, whether authored by a threat actor or AI, and uses contextual relationships between the intent, SMTP headers, and auxiliary information from URLs to derive a verdict

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BEC & Conversational Payload

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

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. 

Save Remediation Time

Near-Zero False Positives

Intent Analysis means that NACETM 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

New evasion methods create opportunities for exploitation, leaving employees as the last line of defense against sophisticated phishing and ransomware attacks. NACETM stands apart by eliminating the reliance on malicious payloads in its decision-making process, making it inherently immune to evasions crafted by threat actors or AI, ensuring unwavering and robust protection against new evasions and 0-day threats.

Reduce Monthly Spend

Value-Based Pricing

NACETM 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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The Inception team has been invited to present our innovation in "Harnessing Language Models for Detection of Evasive Malicious Email Attachments" at CanSecWest 2025 in Vancouver! 

This highly technical conference is focused this year on global experts in Applied Cybersecurity Technology Innovations, and we're thrilled to have been selected to present.

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CanSecWest 2025

Vancouver, British Columbia, Canada
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Inception Cyber added value immediately. It was deployed in less than 10 minutes, and within the first 5 days of deployment their Intent-Based AI approach caught and stopped a number of BEC, phishing and malware threats—including an extremely sophisticated HTML smuggling attack purpose-built to smuggle malware through other security tools.  The product's AI-driven decision explanations are impressive and will be invaluable for both analysts and employees.

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Ritesh Jain

SVP-Enterprise Security Business at Doyen Infosolutions
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We are using your email security solution for couple of months now. Inception Cyber’s intent-based approach delivers unmatched precision in detecting evasive BEC and phishing emails, stopping threats that evade traditional defenses.

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Manoj Kumar

IT/CIO at Ambica Steels
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Thank you for presenting your research, 'Harnessing Large Language Models for
Detecting Malicious Attachments' at AVAR 2024. It was well received by the audience and the feedback about the content has been overwhelmingly positive. Please continue sharing your research with the cyber security community, I look forward to similar contributions from you at AVAR 2025.

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Kesavardhanan Jayaraman

CEO, AVAR - Association of Anti-Virus Asia Researchers
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The Inception team has been invited to present our innovation in "Harnessing Large Language Models to Detect Phishing—Whether by Threat Actors or AI" at the 18th annual CARO Workshop in Denmark! 

This exclusive workshop brings together global experts in cybersecurity and law enforcement to share sensitive research, discuss emerging threats, and dive deep into cybersecurity's most pressing challenges.

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CARO 2025

18th Annual Cyber Workshop
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CTO and CO-founder Abhishek Singh has been selected to speak at RSAC 2025!  He'll be highlighting innovation in both the defense and attack landscape in his talk "Leveraging Generative and Predictive AI for Detection of AI Based Attacks"

Join us Wednesday, April 30th from 1:50 PM-2:10 PM PT in Briefing Center #2!

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RSAC 2025

Early Stage Expo
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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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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!

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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.

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