Ransomware Mitigation
Zero Trust security offers robust defense against ransomware, addressing both identity compromise and code execution.
In today’s dynamic digital landscape, where remote work, hybrid cloud environments, and cybersecurity threats are the new normal, the Zero Trust security framework emerges as a best practice North Star. Zero Trust challenges the conventional notion of trust and empowers organizations to secure their infrastructure and data by continuously verifying users, devices, and access, regardless of their location, thereby eliminating the concept of a traditional network edge.
The framework leverages cutting-edge technologies, including risk-based multi-factor authentication, identity protection, endpoint security, and cloud workload security, to verify user and system identities, access context, and system security. It also encompasses data encryption, email security, and hygiene checks for assets and endpoints.
Zero Trust security requires real-time visibility into numerous user and application identity attributes, including user identity, credential privileges, behavioral patterns, endpoint information, geo-location, firmware versions, and more. To bolster security, it employs analytics, AI, and machine learning models, which are trained on vast amounts of data and threat intelligence. Zero Trust emphasizes the principle of least privilege, ensuring that access permissions are tightly controlled, and it segments the network based on user type, device, and group functions.
Zero Trust security offers robust defense against ransomware, addressing both identity compromise and code execution.
With Zero Trust, organizations can safeguard against supply chain attacks, which often involve unmanaged devices and remote privileged users.
The Zero Trust framework simplifies the analysis of behavioral analytics for remote users, aiding in the detection and response to insider threats.
Zero Trust provides continuous verification, reducing security risks.
To bolster security, it employs analytics, AI, and machine learning models, which are trained on vast amounts of data and threat intelligence.