All stakeholders can be part of digital transformation efforts. They explore data assets, test and validate hypotheses, and build AI applications without friction, creating unprecedented value.
Since data consumers never access source data, anonymization or desensitization processes are no longer necessary and leakage risk is mitigated. Internal processes become lighter, yielding faster decision cycles, reduced time-to-data, and higher project success rate.
When data is exported, there is little the security team can do to prevent misuse, leakage, breaches, or loss. With Sarus, sensitive data remains inside, only safe outputs can be exported. It provides the best response for insider threat management in all Analytics and AI activities.
Removing the need for copying data out allows data owners to track every data processing query. With Sarus, all computations are logged, and the exhaustive lists of outputs produced from confidential data can be analyzed and audited.
