Evolving Phishing Attacks Easily Bypass Legacy Security
Phishing is a cybercrime tactic that involves sending unsolicited emails, typically with call to action URLs, seeming to originate from legitimate organization. The goal is to deceive individuals into providing sensitive information such as personal details, financial data, or login credentials. This attack type is so prevalent that roughly 3.4 billion phishing emails are sent each day, which is about 1.2% of all emails sent.
These call-to-action URLs—typically malicious pages built for data theft, or malware hosting —employ extensive evasion techniques, such as CAPTCHAs, hosting on trusted platforms, redirects, CDN-based hosting etc., to conceal their destination or malicious payload. These evasive tactics are built by threat actors and malicious AI, to bypass traditional defenses and reach end users."
Bottom line: Traditional email security tools have been rendered ineffective by new techniques. Employees are the only line of defense—increasing risk, and decreasing productivity.
Phishing Attacks are Evolving - To the Power of AI
With AI automation tools like FraudGPT and low-cost models like DeepSeek, phishing campaigns are now more scalable, precise, and varied than ever before. Attackers bypass security with highly convincing, industry-specific messages that reach, and exploit, employees.
AI eliminates the human effort needed to scale phishing to the scale—and speed—of SPAM
AI enables creation of countless variations of phishing pages and malicious URLs that incorporate advanced evasion techniques which can bypass traditional defenses relying on landing malicious URL or phishing pages.
AI enables attackers to use relevant and accurate data—harvested from timely public employee and corporate data—to craft context-aware messages with call-to-action Phishing or malicious URLs designed to manipulate employees.
AI-generated phishing attacks dynamically alter structure, tone, and urgency, to quickly find the most effective attacks and replicate them—more effectively simulating legitimate messages to exploit employee trust.
Stopping Phishing Without Chasing Links
Inception Cyber doesn't rely on traditional phishing defenses like URL scanning, domain reputation analysis, or detonation of URLs in sandboxes. These legacy defenses can be bypassed by evasive techniques that conceal the final landing phishing pages from detection during the scanning process, so NACETM takes a radically different approach:
NACETM stops evasive phishing URLs and malicious call to action URLs by analyzing the intent of the email itself, and using it as a feature set for decision making, eliminating the need to rely on final landing URLs.
Instead of relying on link reputation, NACETM performs deep semantic and thematic analysis of the email itself to find intent, and stop threats before they reach employees.
Unlike legacy methods that take time to analyze links, NACETM delivers real-time threat classification, stopping threats from reaching inboxes and preventing email delays.
AI-powered threats demand AI-powered defense.
Inception Cyber detects and stops phishing attacks before they reach inboxes, redefining how organizations protect against phishing attacks.
NACETM does not rely on the final landing phishing page or malicious URLs. Instead, it conducts semantic and thematic analysis of emails to understand the intent behind them. By evaluating the contextual relationship between the intent, auxiliary information from URLs, and SMTP headers, NACETM can detect phishing attempts and malicious call-to-action URLs before they reach employees.
NACETM leverages advanced AI-driven techniques to deeply analyze and derive the intent of emails—whether authored by AI, legitimate users, or threat actors.
By leveraging pre-trained and fine-tuned neural networks, zero-shot semantic classification with LLMs, topic modeling, hierarchical topic modeling, phrase topic modeling, named entity recognition (NER), Optical Character Recognition (OCR) and sentence transformers, NACETM accurately extracts the true intent behind an email.
Trained on over a decade of real-world email data, NACETM excels at isolating intent commonly exploited by threat actors to deliver phishing and malicious call-to-action URLs.
Eliminating the reliance on malicious payloads means that NACETM is uniquely able to detect 0-day, and known phishing pages as well as malicious call to action URLs.
By stopping phishing at the email layer, NACETM prevents phishing links from ever reaching the endpoint, reducing the risk of users opening the links.
Because NACETM doesn’t rely on chasing URLs, Inception is less affected by evasion techniques designed to hide, change, or obfuscate malicious URLs.
Since we don't need to build deep employee datasets—which take other vendors 30 days or more—our NACETM pre-trained model begins stopping threats as soon as it is deployed.
See our walkthroughs and step-by-step breakdowns of real-world evasive phishing and malicious URL attacks, and how Inception Cyber NACETM stops them when other technologies can't.
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 Phishing threats are slipping through your defenses with our free assessment.