Abstract: A background module in a multi-tiered encryption system verifies the integrity of keys used to encrypt and decrypt data. Each encryption tier in the system can include a node programmed to service encryption and/or decryption requests, a key store to store encryption keys, and an audit log to store key identifiers. Each computing node may include a background module that continuously or periodically verifies the integrity of keys. For example, the background module may retrieve an identifier in the audit log, retrieve the object stored at a location in the key data store identified by the identifier, decrypt the encrypted key in the object, and use the decrypted key to decrypt the encrypted identifier in the object. The identifier is compared with the decrypted identifier, and if the identifiers do not match, the background module generates an alert indicating that the key is not valid.

Abstract: A re-encryption service module in a multi-tiered encryption system that manages key rotation policies continuously or periodically re-encrypts data. Each encryption tier in the system can include a node programmed to service encryption, decryption, and/or re-encryption requests and a key store to store encryption keys. A computing node that interfaces with a requesting device may include the re-encryption service module. The re-encryption module may receive encrypted data and a key identifier identifying the key used to encrypt the data. The re-encryption module may decrypt the encrypted data using the identified key, retrieve a new key if the identified key is exhausted, and use the new key to encrypt the decrypted data. The key identifier may be updated to identify the new key and the re-encrypted data and the updated key identifier may be transmitted to the requesting device.

Abstract: The present disclosure provides a system and methods for intelligently optimizing search system resource usage and performance using multiple data store technologies. A search query optimization system may utilize multiple query processors, such as a general search engine and one or more specialized data stores, to efficiently and intelligently manage and route queries. The search query optimization system may be configured to evaluate the performance of the various query processors for various types of queries, and may use this information to intelligently route search queries to the query processors best suited to service them.