Digital Risk Ticker
Innovative analysis that provides an unprecedented statistical understanding of how a digital asset relates to the success of the business. Combined with recoverability status and risk volatility, this analysis makes it possible to understand and monitor digital risk within a realistic financial context.
Risk Severity Watch
For the first time, SecondSight gives businesses a statistical understanding of how a digital asset relates to the success of the business. Combined with recoverability status and the volatility of digital risk within the asset, this gives businesses the unprecedented ability to measure and monitor the changing level of digital risk in actual financial context.
Content Risk Segmentation
Not all digital risk should be managed equally. Digital asset contents that are highly correlated to business continuity need daily monitoring and management. Contents that aren’t currently active should simply be governed through the retention period, while contents beyond retention should be considered for archive and/or deletion. Risk Tracker gives you a highly visual way to understand these segments and then drill down into them to see the sizes and types of all contents within.
Live Digital Content Ledger™
SecondSight’s powerful Live Digital Content Ledger is the foundation of Risk Tracker. From the moment Risk Tracker is assigned to a given digital asset, Risk Tracker autonomously discovers and classifies every bit of content within, according to multiple risk-related categories. It also resolves fragments of identities into a True Identity Count. Most importantly, Risk Tracker’s autonomous discovery, classification and monitoring of change never stops from this moment on, resulting in a Live Digital Content Ledger that’s precisely accurate and always up to date.
Always-on Risk Modelling
Using the Live Digital Content Ledger, Risk Tracker continually calculates connections and correlations that empower businesses to deeply understand how risk conditions relate to business realities. These models also power in-app and email alerts and recommendations, triggered by default thresholds as well as watchlists customized by the user.