OpenText partners with MAD Security to improve response time to cyberthreats and shrink the attack surface

Waterloo, ON – 2022-10-19 –Today, OpenText™ (NASDAQ: OTEX), (TSX: OTEX), a global leader in information management with an extensive security solution portfolio, announced a partnership between OpenText Network Detection & Response (NDR) technology and MAD Security. This joint solution from OpenText and MAD Security will empower customers to cut false positive security alerts significantly and protect sensitive government data against advanced cyber threats.
 
MAD Security, a managed security service provider (MSSP) that helps contractors and other small and medium sized enterprises detect potential breaches and prevent attackers from disrupting operations or exfiltrating data, knows firsthand that government contractors are a prime target for cyber-attacks, from phishing and social engineering to malware and ransomware. To strengthen its cybersecurity capabilities, MAD Security decided to augment its offering with NDR capabilities. The aim was to continuously monitor and analyze raw enterprise network traffic, creating a baseline of network behavior that would help analysts hunt down emerging threats faster. 
 
“In the past, MAD Security has relied on an anomaly-based intrusion detection system to find indicators of compromise (IOCs). While this approach was effective for analyzing north-south traffic across small networks, it was a challenge to pinpoint IOCs across larger networks with significant volumes of east-west traffic,” said Jeremy Conway, CEO at MAD Security. “If we could reduce the time our analysts spent drilling down into the data, we could accelerate our response and improve cost efficiency—ultimately providing a more competitive service. Working with OpenText, we can now detect and correlate events, investigate the data and notify the client in an average of just 6.5 minutes—less than half of SLA.” 
 
MAD Security selected OpenText NDR because of the level of visibility it provides. The company can now look beyond individual subsets of endpoint and log data to build up a clear picture of what happened and when during an attack—even if the network traffic is encrypted. MAD Security uses OpenText NDR to make sure remediation efforts are successful, for example, by monitoring for new IOCs during its cleanup effort to detect whether the attacker is changing tactics or switching to an alternate toolset.

An end-to-end network security platform, OpenText NDR simplifies network threat detection by combining smart packet capture (Smart PCAP) and rich network metadata generation, delivering a clear view of even the most complex networks. With OpenText NDR, MAD Security can gain insights faster than ever through deep packet inspection, behavioral anomaly detection, IOC matching, and AI-powered analytics.

“We are thrilled to be able to count MAD Security among our many incredible customers and are proud to see not just our solutions working for the organization but also be part of its growth and success,” said Muhi Majzoub, Executive Vice President and Chief Product Officer at OpenText. “By supporting MAD Security with OpenText NDR, we were able to help the company achieve its growth target while keeping its analyst team lean.” 
 
To find out more, read the MAD Security success story here.

About OpenText 
OpenText, The Information Company™, enables organizations to gain insight through market leading information management solutions, powered by OpenText Cloud Editions. For more information about OpenText (NASDAQ: OTEX, TSX: OTEX) visit opentext.com. 

Connect with us: 
OpenText CEO Mark Barrenechea’s blog 
Twitter | LinkedIn 

Certain statements in this press release may contain words considered forward-looking statements or information under applicable securities laws. These statements are based on OpenText's current expectations, estimates, forecasts and projections about the operating environment, economies, and markets in which the company operates. These statements are subject to important assumptions, risks and uncertainties that are difficult to predict, and the actual outcome may be materially different. OpenText's assumptions, although considered reasonable by the company at the date of this press release, may prove to be inaccurate and consequently its actual results could differ materially from the expectations set out herein. For additional information with respect to risks and other factors which could occur, see OpenText's Annual Report on Form 10-K, Quarterly Reports on Form 10-Q and other securities filings with the SEC and other securities regulators. Unless otherwise required by applicable securities laws, OpenText disclaims any intention or obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise.

Copyright © 2022 OpenText. All Rights Reserved. Trademarks owned by OpenText. One or more patents may cover this product(s). For more information, please visit https://www.opentext.com/patents.  

Further information:  
Taylor Barker 
OpenText 
publicrelations@opentext.com