Identify and stop evolving AI or threat actor generated ransomware, spear-phishing, and social engineering attacks that bypass existing security and target 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.
More HTML Smuggling Attacks
More Phishing
Attacks
More PDF Downloader Attacks
Or Fewer False Positives/Million
Never Ending Evasive Attacks Hide Payloads to Evade Existing Tools
Legacy technologies depend on detecting malicious payloads, which are mostly hidden through evasions, leading to attack bypass.
NACETM, however, takes a first principles approach, making decisions without relying on malicious payloads—whether from threat actors or AI—making it completely immune to evasions. Powered by Generative and Predictive AI, NACETM accurately understands email intent, analyzing contextual relationships between SMTP headers, intent and auxiliary data to swiftly and decisively block malware-based attacks.
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 leverages Generative and Predictive AI trained on 10+ years of historic emails to understand the intent of email, whether authored by a threat actor or by AI. By analyzing the contextual relationships between intent, SMTP headers, and auxiliary URL features, NACETM accurately determines whether a URL is malicious or benign. This advanced approach outperforms traditional detection systems that rely on analyzing the final landing phishing page, which is mostly hidden by evasive techniques, resulting in potential breaches.
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.
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
Learn more about how Inception Cyber is revolutionizing the way to prevent the evasive threats of today, and the future.
