451 Research — TITUS changes tack, places big bet on machine-learning-based classification
Despite potential advantages in protecting against data breaches, data security (in general) remains less widely deployed and receives less funding than other areas of security, such as network or endpoint security tools. One likely reason is that data security can be complex and often places a burden on users in terms of making changes to their daily workflows and the overall user experience. This has been one of the biggest potential drawbacks to data classification, particularly user-based approaches.
In this report, 451 Research applauds TITUS’s decision to introduce machine-learning-based classification to its arsenal, which will increase the confidence level of data classifications to allow for more real-time policy decisions and reduce the burden on end users by relying more on automation.