Sensitive Data Intelligence
Across various cloud environments, Software as a Service (SaaS) platforms, and on-premises infrastructure
Dismantling Data and Risk Silos
Spanning hunderds of types of data Systems
Relational Databases
- MySQL
- PostgreSQL
- Oracle
Data Warehouses
- Amazon Redshift
- Snowflake
- Google BigQuery
NoSQL Databases
- MongoDB
- Cassandra
- Couchbase
File Systems
- NTFS
- HFS+
- ext4
Object Storage
- Amazon S3
- Google Cloud Storage
Document
Stores
- MongoDB
- CouchDB
Graph
Databases
- Neo4j
- Amazon Neptune
In-Memory Databases
- Redis
- Memcached
Time-Series Databases
- InfluxDB
- Prometheus
Columnar Databases
- Apache Cassandra
- HBase
Cloud Data Storage
- Amazon DynamoDB
- Google Cloud Firestore
Data Lakes
- Amazon S3
- Azure Data Lake Storage
ERP Systems-
- SAP
- Oracle ERP
CRM Systems
- Salesforce
- HubSpot
Middleware
- Apache Kafka
- RabbitMQ
Uncover Hidden Data Resources
Establishing a robust methodology, this process involves deploying advanced scanning and discovery mechanisms to pinpoint elusive shadow and inherent data assets scattered across the diverse infrastructure of major cloud service providers, including AWS, Azure, GCP, and OCI. Through systematic analysis and extraction, the identified data assets are meticulously cataloged, providing a thorough and organized repository that encompasses the entirety of both officially recognized and potentially overlooked data resources.
Discover Sensitive Data
Uncover, categorize, and designate hundreds of sensitive data elements within vast multi-cloud environments and autonomously managed structured and unstructured data systems, scaling seamlessly to the petabyte level. This process involves employing cutting-edge technologies for efficient discovery and classification, ensuring a meticulous labeling approach that enhances data governance and compliance.
- Data Discovery
- Data Classification
- Multicloud Compatibility
- Self-Managed Systems Integration
- Structured and Unstructured Data Handling
Build a Searchable Catalog of Data
- Search and Visualization of Sensitive Data Distribution
- Integration with Third-Party Data Catalogs
- Metadata Population
- Holistic Data System Analysis
- Real-time Synchronization
By implementing these measures, organizations can effectively search, visualize, and synchronize metadata associated with sensitive data elements across structured and unstructured data systems, leveraging the capabilities of third-party data catalogs for enhanced governance and decision support.
Sensitive Data Intelligence
Security
Ensuring data integrity with robust encryption and proactive measures for airtight security against potential threats and breaches.
Privacy
Prioritizing data privacy through stringent policies and encryption measures for secure and confidential information handling.
Governance
Effective data governance ensures compliance, quality, and security throughout the information lifecycle in our organization.
Compliance
Strategic measures and continuous monitoring uphold data compliance standards, ensuring regulatory adherence and organizational integrity.
Covering Everywhere You Have Data
With 1000+ integrations across data systems
