Minimize your data liabilities
while increasing data utility and reducing costs by 80%
Collaborate across boundaries
with internal & external partners without revealing raw data
Harden your tech-stack
with zero trust, privacy preservation and lineage
Break your data silos in minutes
with no-code, automated data workflows and self service
Expedite data agreements transparently
with smart contracts and immutable transactions
Establish single source of truth of data
while meeting varied and stringent regulations
Who would use
Blockfenders and why?
Benefits
01
Ubiquitous, easy, granular and interoperable data sharing with minimal liability
02
Accelerate digital transformation with maximum data utility
03
Protect data resources rather than just security perimeter
04
Data verifiability, trust, transparency, integrity and privacy preservation
05
Automated data workflows with no code, raw data isolation
06
Prevent data manipulation and protect data from insider threats and external attacks
How it works?
Blockfenders (preview) facilitates a zero trust and zero knowledge data architecture, making it easier to automate secure, real-time data exchange between two or more parties with minimum liability. Now you can share streaming data and data at rest across cloud, on-premise or hybrid environments in any organization or geography granularly and in a controlled manner. Blockfenders keeps the data trustworthy with verifiability, privacy enhanced with de-identification and encrytion, and context aware with lineage. With Blockfenders, you can connect your favorite analytics, visualization or SQL query tool for deeper insights.
SOURCE
Any application or data source in any environment.
OPERATIONS
SOURCE
OPERATIONS
DESTINATION
Any application or data source in any environment.
Any application or data destination in any environment.
1. CONNECT
Use pre-existing connectors, APIs or Kafka to connect to application or data source
2. INGEST & PROCESS
Ingest data and structure it into tables. Optionally preserve privacy using masking and encryption techniques.
Data ingestion & Table services
- Ingest data from source of choice
- Structure into tables, data catalog, ACID, compaction, clustering, de-duplication, indexing and more
Data Masking
- De-identify or anonymize fields of choice
Encryption
- Encrypt fields of choice
3. SHARE
Share data easily with internet or external parties using pre-existing connectors, APIs or Kafka without writing any code.
Granularity, multi-party, real time
- Share data granularly with multiple parties in real-time
Verifiability with Zero Knowledge Proof and Zero Trust
- Achieve zero trust and zero knowledge with on demand or continuous data verification using cryptography.
- Verify without revealing actual data.
Control sharing with password less authentication and access, and end-to-end encryption of data
- Asymmetric public-private key based passwordless authentication and authorization.
- Encrypt data end-to-end for controlled sharing.
Lineage
- Immutable, tamper evident full context and history
DESTINATION
Any application or data source in any environment.