Identify and stop evolving ransomware, spear-phishing, and AI-powered social engineering attacks that bypass existing security and target your employees
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.
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.
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.
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.
More HTML Smuggling Attacks
More Phishing
Attacks
More PDF Downloader Attacks
Or Fewer False Positives/Million
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.
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.
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.
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.
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.
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.
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.
Stopping more threats, saving SOC analysis time, and eliminating remediation effort
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!
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!
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!
Learn more about how Inception Cyber is revolutionizing the way to prevent the evasive threats of today, and the future.