Ready to Schedule a Consultation?

Do you suspect advanced attacks are still able to reach your employee’s Microsoft 365 inboxes?

Our Free Email Threat Assessment is deployed in seconds to show you the attacks that evade Microsoft 365 and legacy Secure Email Gateways (SEG) like Proofpoint and Mimecast.

 
abnormal cloud security ransomware malware protection
0 of 5  
Abnormal Security
Abnormal Precisely Stops Zero-Day Email Attacks

Abnormal provides total protection against the widest range of attacks including phishing, malware, ransomware, social engineering, executive impersonation, supply chain compromise, internal account compromise, spam, and graymail.

0 of 5  
Perception Point
Prevention-as-a-Service Providers. Digital Transformation Enablers.

Perception Point is a Prevention-as-a-Service company, built to enable digital transformation. Trusted by global enterprises, our Gartner-recognized, revolutionary platform offers a 360-degree protection against any type of content-based attacks, across all collaboration channels, in one simple solution. Built by and for IT and security experts, our service is incredibly easy to deploy, maintain and update according to the newest attack techniques.

We are a team of cyber-intelligence professionals and business leaders with offices in the US and Israel. We are passionate about cybersecurity, business operations, and the connection between the two.
We enjoy ruining the attackers’ day, every day.

 

4.9 of 5  
SlashNext
Multi-Channel Security for API Security, Cloud Email, Mobile, Secure Web Browser and Web Messaging Apps

SlashNext was founded in 2015 during a significant rise in phishing, morphing payloads, and a very strong belief that phishing would grow from email into a multi-channel problem and become the number one cyber threat to organizations. There was a recognition that something needed to change.

Atif Mushtaq, the visionary founder behind SlashNext and one of the main architects of FireEye’s core malware sandbox technology, recognized phishing detection, like malware, needed to move from signature-based reputation techniques to behavioral analysis. What was needed was a faster, more automated, and accurate approach to phishing detection. With that knowledge, SlashNext built an Artificial Intelligence (AI) phishing detection engine with virtual browsers and behavioral analysis using computer vision, natural language processing, and several machine-learning classifiers to detect and stop well-crafted multi-payload phishing attacks delivered multiple communication channels, including legitimate infrastructure.

Today, as humans have moved completely to the cloud, using apps, browsers and mobile devices to communicate with work, family, and friends, SlashNext is uniquely positioned to stop multi-channel phishing and human hacking