Intent-based networking is a form of network management that uses machine learning and automation.
Understanding intent-based networking
IBN is an advancement in network management technology focused on business outcomes instead of technical operations. According to a journal article published in IEEE Communications Surveys & Tutorials, “Optimizing the alignment of network operations with the application consumption experience by end-users is the idea behind the notion of Intent-Based Networking (IBN).” The goal of IBN is to allow network administrators to define what they want to accomplish and use both IBN and machine learning to automate and implement the ongoing management of this intention.
How it works
- Administrators define the desired outcomes for the network.
- IBN systems convert high-level business intent to specific actionable network configurations.
- The system automatically configures network devices and services to align with defined intent.
- The IBN continuously monitors the network to ensure it operates as intended.
- The system uses real-time analytics to maintain network performance.
- The system learns based on these analytics.
IBN and HIPAA compliant email
As the digitization of healthcare data increases and the volume of protected health information amplifies, systems like IBN offer an intelligent method of configuring and maintaining network environments. The use of advanced algorithms and machine learning allows for systems to anticipate and adapt based on communication methods like HIPAA compliant email.
The analysis also creates an environment where HIPAA compliant marketing can develop based on patient information within an organization's system. The use of IBN in this way, especially in healthcare, still requires fine-tuning to ensure security needs are met.
See also: Top 7 HIPAA compliant email marketing services
FAQs
What is PHI?
Information created while providing a healthcare service that could be used to identify a person.
What is digitization?
The process of converting information into a digital format.