“Our clients expect us to provide solutions that minimize risks related to lack of visibility into their data and IT environments, and provide excellent results, quickly. These high expectations were met by the value of the Concept Searching and Netwrix partnership, to enhance secure data discovery and classification, which realized 13 new clients from diverse industries within the first 30 days.”
Ilia Sotnikov, Vice President of Product Management, Netwrix
Data Discovery and Classification
Organizations are drowning in data. The ability to extract insight and knowledge can deliver a multitude of benefits. But data can also be toxic. Data discovery and classification technologies are key components missing from traditional security and compliance software solutions. Concept Searching augments security, governance, and data loss prevention (DLP) solutions, by providing automated data discovery, classification, and remediation capabilities. Despite best efforts in managing the interruption of day-to-day business operations, the cost of a data breach or compliance infraction can wreak havoc with infrastructure. Recovery will always take longer than projected, and costs will surpass estimates. If your organization hasn’t been the victim of a data breach, it is only a matter of time. Brand damage, loss of revenues, remediation, and legal ramifications are just the tip of the iceberg. The aftermath of General Data Protection Regulation (GDPR) has left almost half of organizations unprepared, as the world watches and waits for the fallout. Are you ready?
The Concept Searching Difference
Automatically identify data that may be hidden, noncompliant, or contain unprotected privacy or sensitive information, in real time
Prevent inadvertent or malicious data leakage
Eliminate siloed repositories, and gain visibility into data, regardless of where it resides
Ability to contextualize content, categorize it, protect it, cleanse it, delete or archive it
Regular expressions are the primary tools used by security audit and DLP systems. Unstructured content contains a wealth of meaning in the form of concepts, subjects, and topics, even sentiment and emotion. Within the corpus of data there also exist privacy exposures, unprotected sensitive information unique to an organization, and compliance infractions. The value of data discovery and classification is to find these exceptions, buried in reams of content.
Our core technology is based on compound term processing. Concept Searching is the only classification vendor with technology that statistically calculates the value of word strings that form a concept and, in turn, generates multi-term metadata. This technology overcomes the limitations that have plagued information retrieval and data classification vendors that still rely on overused and time-worn metadata capture techniques, which depend upon keywords, proximity or language packs, unable to produce the essence or meaning from an organization’s unstructured, semi-structured, and structured data, without costly customization.