REDEFINING CYBER SECURITY FOR TOMORROW
Machine learning and automation solutions deliver the next in
Today’s threat landscape is dynamic. The proliferation of disruptive technologies like mobile, social, cloud, and big data has been increasingly impacting protection strategies. These technologies will continue to add to the complexity and drive the security needs of the IT infrastructure and information assets. They will also challenge
At Mphasis, we aim to improve the security posture of the next-generation enterprise. Our machine learning models and connected intelligence platform enable the detection and remediation of known and unknown advanced and targeted threats. Our platform utilizes intelligence feeds from global, open source, and subscription channels. This powers the MTrust platform for advanced threat protection (ATP) services in the next-generation enterprise.
• InfraGenie™ integrated security orchestration and automation response (SOAR)
• Critical tenets for success derived from threat management CoE best practices aligned
• Tools with blended context, big data, and data science-driven statistical and machine learning algorithms that help discover unknown low footprint attacks, and triage high volume alerts for accurate and
• 24x7 live and running detection, driven by cognitive intelligence (rule-based system with security analysts investigating alerts with
• Customized dashboard and alerting/reporting system
• Action-driven by cognitive intelligence, advanced threat hunting, and sandboxing using Mphasis MTrust
• Automated incident triage and investigation through Mphasis MTrust
Flexible, scalable operations and support models for enterprises in different stages of security operations maturity
Custom security design and orchestration services for domain-specific enterprise needs with standardization of investigation and rapid incidence response
Rapid detection and response, automated and low-touch security operations
Global partnership with market leaders in security products
Software as a service (SaaS) based security operations in consumption-based pay-as-you-go models