Bit9 Parity Visibility
To effectively manage dynamic endpoint configurations, IT organizations need to look beyond traditional delivery and protection suites to gain total visibility, knowledge and control. Gaining an understanding of what is on your endpoints - all the time - is the first step in regaining control.
Bit9 Visibility provides the insight needed on "all software, all the time" to help you identify what is running in your network, and where.
Benefits
Bit9 Parity Visibility provides a real-time, reliable inventory of all software. Bit9 Visibility identifies all software on all endpoints at all times, can identify the absence or presence of software, and tracks software and configuration changes as they happen.
- Identify all software on all systems at all times - Over the lifecycle of an endpoint, software is introduced and removed to enhance applications, ensure security and ease management. Some of this software is intended and some is unintended. Some of this software is productive and some is disruptive.
- Be able to identify the absence or presence of any software on any endpoint - Confirming the presence or absence of certain critical files across thousands of endpoints can be challenging. Endpoint configurations, for varying reasons, are inconsistent and automated processes to deliver, patch or remove software which sometimes fail, leaving the configuration in a compromised state.
- Track software and configuration changes as they happen - Understanding how changes are made is critical to improving processes and managing security. Centrally tracking and logging change information for thousands of endpoints, regardless of source or intent, helps accelerate support diagnostics and security forensics, and provides the detail required to meet compliance regulations.
- Compare configurations to approved baselines - Inevitably, endpoint configurations will drift over time. Each group of endpoints will have a different tolerance for drift based on the risk profile of the organization. Baselines provide a methodology for measuring drift against an approved configuration to identify risk and prioritize support efforts.
