Uses a patent-pending Neural Analysis and Correlation Engine (NACETM) to detect and prevent evasive email threats, including ransomware, phishing, and business email compromise (BEC), by analyzing semantic intent rather than relying on traditional payload-based methods. This approach stops 74% more phishing attacks and 49% more HTML smuggling attempts while maintaining fewer than 5 false positives per million messages, reducing risk and operational burden for organizations.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional email security solutions often fail to detect sophisticated and evasive email threats, including ransomware, phishing, and business email compromise (BEC), leading to successful attacks that bypass existing defenses and target employees. These attacks increasingly leverage AI to generate variations that evade signature-based detection, sandboxes, and behavioral analysis.
Solution
Inception Cyber provides an intent-based email security solution that leverages a patent-pending Neural Analysis and Correlation Engine (NACE™) to identify and stop advanced email threats, including AI-generated attacks. NACE™ analyzes the semantic intent of emails, understanding the purpose and meaning behind every message, regardless of whether the attack is human-crafted or AI-generated. By focusing on intent rather than relying on payload analysis or behavioral patterns, Inception Cyber stops evasive threats that bypass traditional security measures, reducing the risk of successful attacks and minimizing the operational burden on security teams. The solution's intent analysis capabilities enable it to detect and prevent phishing, ransomware, and BEC attacks with near-zero false positives.
Target Audience
The primary target audience includes organizations of all sizes seeking to enhance their email security posture and protect against advanced, evasive threats that bypass traditional security solutions.
Features
- Neural Analysis and Correlation Engine (NACE™) for intent-based email analysis
- Detection of AI-generated and human-crafted email threats
- Protection against phishing, ransomware, BEC, and social engineering attacks
- Semantic and thematic analysis using LLMs and GenAI to understand email intent
- Zero-trust validation for BEC prevention through out-of-band sender verification
- Detection of malicious URLs and attachments without payload analysis or malware detonation
- Identification of conversational attacks that mimic real business communications
- Near-zero false positive rate, minimizing remediation time and unburdening employees