TRUE-bDSP
advance data security platform:
beyond structured data access control.
innovation labs
bDSP - Broad Data Security PLatform
Gartner defines bDSP as a pioneering data security platform designed for structured data in cloud-based environments. It integrates data discovery, policy definition, and advanced access controls, ensuring comprehensive protection and compliance through features like field-level encryption and database activity monitoring.
“To deliver efficient and value-producing digital business outcomes, security controls must enable data sharing, impeding discoverability, reuse and resharing.”
2023 strategic roadmap for data security platform adoption
Multi cloud data security for structured data.
Streamlined policies to ease policy management across cloud & on premise data.
Multi cloud data security for structured data.
Streamlined policies to ease policy management across cloud & on premise data.
Field-level access management, data transformation or encryption.
Database activity monitoring.
Field-level, format-preserving encryption.
Late-binding access controls.
Traditional Data Access Control
Inherently complex for Large systems. Prone to gaps and leakages from initiation.
Generic Controls
RxBAC
(RBAC, ReBAC, ABAC)
Static Controls
Designed for static, hard policy
based controls.
Reactive
Proactive identification & monitoring
of risks in missing.
Restricted data Format
Suitable for structured
data by design.
Complex to Comprehend
Scaling leads to misconfigurations
& Conflicts.
Restricted to reporting
Active detection of inappropriate behaviour is out of scope.
As data scales, increasing the number of policies diminishes control over expanding datasets.
TRUE-bDSP Data Access Control
AI-driven , risk-based policies for secure data management as the systems scale.
Risk Monitoring
Proactive monitoring of risks before the become threat.
Structure Agnostic
Security and protection for structured, unstructured & unique data formats.
Self Serve
Grant & revoke access based on self assessed need.
Breach Detection
Real time behaviour modelling to ensure breach is contained quickly.
Simplified Controls
Purpose-driven Policies, scalable for business efficiency.
Need Sensing
Autonomous policy invocation based on business workflow signals.
Incremental policies increases yield amplified control over vast datasets.
True-bDSP Contextual Risk Based Threat Perception
Not all sensitive data access is suspect; those at risk aren't always acting suspiciously.
Threat Perception Based on Contextual Risk
Quantify contextual risk by evaluating the risk posed by actors in combination with the sensitivity of the accessed data.
Reduce Monitoring
Surface
Identify and Focus on
True Threats
Mitigate genuine threats posed by risky actors accessing sensitive data for malicious, rather than legitimate business purposes.
Improve
Productivity
Single Window
Management
Monitor and control all actors and data, regardless of format or scale, from a single centralized location.
Abluva True-bDSP Detailed Capability
Elevate data security with intuitive policy management, dynamic protection, and robust database security measures. Federated orchestration streamlines operations, while event-based access control fortifies data integrity, setting a new standard for navigating complex data landscapes confidently and compliantly.
- DEEP SECURITY ON GRAPH DATABASE
- Nodes
- Properties
- Relations
- Depth of Transverse
- IMAGE ANONYMIZATION
- Partial Image Access.
- Personal information masking.
- Autonomous PII/PHI Text Obfuscation.
- Customized Fine Grain definition.
- EVENT BASED ACCESS CONTROL (eBAC)
- Define once - Apply everywhere.
- Change of access to one app, changes access to all other apps related to same user for same kind of data.
- FEDERATED ORCHESTRATION
- Federated databases.
- Federated Policies.
- Inherent Policy conflict resolution. (Priority based & risk based)
- Security Data Ownership.
- DIVERSE DATA FORMATS
- Graph Databases (Neo4J).
- Images Repository.
- Structured Database.
- Unstructured Databases.
- Document Stores.
- Object Stores.