COMPUTER VISION

Computer Vision is what sets INKY apart.

Hackers excel at creating fake emails that it's nearly impossible for end-users to tell the difference between a real email and a fraudulent email these days. 
Social Graphing Spoofed Sender 500x500

Over two dozen computer-vision and text analysis models see an email much like a person does — only better.

INKY's clear differentiator is that we are able to look at an email much like a human does. The criminal wants you to believe that the email is from a brand or person you trust, so INKY has built models that essentially mimic what a human sees when they receive an email. We can tell whom an email is supposed to be from and confirm it’s the actual sender. We use brand forgery detection, user profiling, and social network mapping techniques to monitor emails. 

Learn more about INKY Phish Fence.

We meticulously analyze emails in seconds before it gets delivered.

As an email passes through INKY Phish Fence the message is rendered in a headless chrome browser and meticulously analyzed. Header and Source IP Reputations are checked, WHOIS / Valid Sender Domains are analyzed, DKIM, DMARC, and SPF records are analyzed

See INKY in action.
Brand Impersonation

Then we take the technology a step further.

Where INKY is more effective than other solutions, is in the next-generation computer vision models that are built into the technology. Not only does she look at all the standard stuff email security solutions are supposed to look at, she also:

Check_iconChecks the logos in the body of messages and compares them to the company’s actual logo on their website.

Check_iconLooks at the images to ensure the image is the right color, font, shape, and size.

Check_iconEvaluates the weight of the image whether the links connect to an authenticated website associated with the brand.

Speak with a phishing expert.

Stop phishing attacks in real-time once and for all with sophisticated next-gen technology.

Traditional Security Email Gateways (SEGs) can’t compare to INKY’s level of phish detection because they rely upon old-school Bayesian filtering rules and out of date messaging blacklists/RBLs. As a result, INKY catches all phishing emails after they have made it through other email security programs.

Download this report that highlights how many phishing emails are slipping through the legacy SEGs:

Download the report.
O365_LAPTOP

Can you rely on your end-users to be on high-alert for all of these phishing tactics across all devices?

Detect images_icon

Brand Hijacking

Detect brand-indicative and scam-indicative images using computer vision models.

Text Macthing_icon

Text Anomalies

Find brand-indicative and scam-indicative text using approximate matching.

Determine Brand_icon

Brand Impersonation

Determine the apparent brand using color palette, layout features, prominent text, and more.

Zero Font_icon

Zero Font

Pinpoint zero-font and other forms or hidden text.

Unicode_icon

Text Cloaking

Identify Unicode homographs, typos, and other text cloaking.

Ready to learn more about INKY’s phish-fighting computer vision capabilities?

Schedule a Demo