OpenText Launches Managed Detection and Response (MDR) Service
Managed Detection and Response (MDR) Service
Headline-making events like Solar Winds and the recent HAFNIUM hack have exposed a major vulnerability for security teams – a lack of resources to effectively detect and respond to security threats before they become serious incidents. Managed services offer organizations a way to augment their security teams and improve security posture quickly and efficiently.
“Most organizations do not have the ability to effectively hunt for and eliminate cybersecurity threats within their own networks,” said OpenText CEO & CTO Mark J. Barrenechea. “The OpenText MDR Service provides 24×7 support, 365 days a year. OpenText Security analysts and threat hunters combine front-line experience with industry-leading automation, AI technology and OpenText software to help organizations detect threats in real-time rather than days or weeks.”
Managed Detection and Response (MDR) Service features
OpenText Managed Detection and Response (MDR) pairs best-in-breed technologies alongside security personnel with 15+ years of experience working on breach response investigations and malware analysis engagements. This extensive experience and understanding of threat actors’ tactics, techniques, and procedures (TTP’s) has led to:
- Up to 99% detection rate for unknown threats that have bypassed perimeter security and are present on the network.
- Meantime to detection (MTTD) of less than 30 minutes. Per a SANs institute report, only 50% of organizations have an MTTD of less than 24 hours.
- Up to 97% reduction in event noise and false-positive alerts, focusing analysts on those alerts that represent the greatest risks while increasing the accuracy of threat identification.
Webcor Builders, a large commercial construction contractor with headquarters in San Francisco, California was an early client of the OpenText MDR service. It resulted in crucial improvements to their overall security defenses and increased their ability to react to security events in real-time.