PHOTO
Dubai, UAE: Mimecast Limited (NASDAQ: MIME), a leading email security and cyber resilience company, today announced the Mimecast CyberGraph™ solution, a new add-on for Mimecast Secure Email Gateway (SEG) that is engineered to use Artificial Intelligence (AI) to help detect sophisticated phishing and impersonation attacks. CyberGraph creates an identity graph which is built to store information about relationships between all senders and recipients. The graph is designed to detect anomalies and leverages machine learning technology to help organizations stay one step ahead of threat actors by alerting employees to potential cyber threats.
“Phishing and impersonation attacks are getting more sophisticated, personalized and harder to stop. If not prevented, these attacks can have devastating results for an enterprise organization,” said Josh Douglas, VP, Product Management for Threat Intelligence at Mimecast. “Security controls need to be constantly updated and improved to outsmart threat actors. CyberGraph leverages our AI and machine learning technologies to help keep employees one step ahead with real-time warnings, directly at the point of risk. What makes this exciting is that we are embedding the technology for existing email security customers, they do not need to look for other vendors to fill the gap with technologies that only work to solve part of this challenge.”
The workplace is always the top target of cybercriminals, but in the remote working era, the problem has intensified. “The State of Email Security Report” found that email threats rose by 64% and employees are clicking on three times as many malicious emails as they had before the COVID-19 pandemic. Security controls need to evolve to help evade cybercriminals’ relentless and crafty approach. CyberGraph includes three key capabilities engineered to help prevent cyber threats:
- Renders embedded trackers useless – During the reconnaissance phase of an attack, threat actors embed trackers into emails that communicate with an illegitimate remote server, disclosing important information that can be used to create a targeted social engineering attack. CyberGraph is built to blocks this communication, mask the email recipient’s location, and prevents attempts to understand engagement levels with the email content.
- Uses machine learning to protect from targeted email threats – CyberGraph is designed to create an identity graph by learning about relationships and connections between all senders and recipients. This intelligence is combined with the outputs from machine learning models to detect anomalies that could be indicative of a malicious email.
- Engages users with contextual, dynamic warning banners – CyberGraph is engineered to engage users at the point of risk with color-coded banners that indicate the potential nature of a threat. Users are empowered by seeing whether an email is safe or potentially nefarious. CyberGraph is built to “crowd-sources” threat intelligence, which helps to reinforce the machine learning model. As the risk associated with any given delivered email changes, banners embedded in any similar emails are updated with the latest information, providing ongoing engagement and protection for users.
Mimecast: Relentless protection. Resilient world.™
Mimecast (NASDAQ: MIME) was born in 2003 with a focus on delivering relentless protection. Each day, we take on cyber disruption for our tens of thousands of customers around the globe; always putting them first, and never giving up on tackling their biggest security challenges together. We are the company that built an intentional and scalable design ideology that solves the number one cyberattack vector – email. We continuously invest to thoughtfully integrate brand protection, security awareness training, web security, compliance and other essential capabilities. Mimecast is here to help protect large and small organizations from malicious activity, human error and technology failure; and to lead the movement toward building a more resilient world. Learn more about us at www.mimecast.com.
© Press Release 2021
Disclaimer: The contents of this press release was provided from an external third party provider. This website is not responsible for, and does not control, such external content. This content is provided on an “as is” and “as available” basis and has not been edited in any way. Neither this website nor our affiliates guarantee the accuracy of or endorse the views or opinions expressed in this press release.
The press release is provided for informational purposes only. The content does not provide tax, legal or investment advice or opinion regarding the suitability, value or profitability of any particular security, portfolio or investment strategy. Neither this website nor our affiliates shall be liable for any errors or inaccuracies in the content, or for any actions taken by you in reliance thereon. You expressly agree that your use of the information within this article is at your sole risk.
To the fullest extent permitted by applicable law, this website, its parent company, its subsidiaries, its affiliates and the respective shareholders, directors, officers, employees, agents, advertisers, content providers and licensors will not be liable (jointly or severally) to you for any direct, indirect, consequential, special, incidental, punitive or exemplary damages, including without limitation, lost profits, lost savings and lost revenues, whether in negligence, tort, contract or any other theory of liability, even if the parties have been advised of the possibility or could have foreseen any such damages.