Appinventiv Bolsters Data Security Offerings with Premier Databricks Partnership, Empowering Clients with Unparalleled Data Protection

Noida, India – August 14, 2025 – Appinventiv, a global leader in digital transformation and innovative technology solutions, is proud to announce the significant enhancement of our data security services through our Premier Partnership with Databricks, the Data and AI company.

This strategic collaboration empowers us to deliver a new echelon of data protection, governance, and real-time intelligence to our clients across diverse industries.

Our Premier Partnership with Databricks Enhances Data Security Services Across Several Critical Domains

Data Governance and Compliance

With Databricks’ Unity Catalog, we implement a unified governance layer that provides a single pane of glass for managing data access policies, lineage, and metadata. This enables us to help clients:

• Enforce Granular Access Controls: We configure Role-Based Access Control (RBAC) to ensure only authorized users and applications can access specific data assets, down to the row and column level.
• Ensure Regulatory Compliance: With Databricks’ detailed audit logging and data lineage capabilities, we provide comprehensive visibility into data usage, crucial for demonstrating compliance with regulations like GDPR, HIPAA, and CCPA.
• Maintain Data Quality and Integrity: Through Delta Lake’s schema enforcement and Databricks Lakehouse Monitoring, we proactively identify and address data quality issues, ensuring the reliability and trustworthiness of data for critical decision-making.

Enhancing Data Engineering and ETL Processes

Our data engineering teams harness the power of Databricks to build highly secure, efficient, and reliable ETL pipelines. We leverage:

• ACID Transactions with Delta Lake: This ensures data consistency and integrity throughout the ETL process, preventing data corruption and enabling reliable data updates.
• Automated and Optimized Workflows: We design and implement automated data pipelines using Databricks Workflows and Lakeflow Declarative Pipelines, which include built-in fault tolerance and automated error remediation, significantly reducing manual effort and potential security vulnerabilities.
• Secure Data Transformations: Our engineers utilize Databricks’ robust processing capabilities to transform vast datasets securely, ensuring that sensitive information is handled with the utmost care and appropriate masking or anonymization techniques are applied where necessary.

Data Lakehouse Architecture and Unified Data Platforms

We empower our clients to adopt the modern data Lakehouse architecture, which seamlessly combines the flexibility of data lakes with the robust management features of data warehouses. This unified approach, powered by Databricks, allows us to:

• Eliminate Data Silos: By consolidating structured, semi-structured, and unstructured data into a single, secure platform, we reduce complexity and potential attack surfaces.
• Simplify Data Management: Our implementation of the Lakehouse architecture ensures consistent data governance and security policies are applied across all data types and workloads, providing a single source of truth for analytics and AI.
• Promote Openness and Interoperability: Leveraging Databricks’ foundation on open-source technologies like Apache Spark, Delta Lake, and MLflow, we ensure our clients’ data ecosystems remain open, flexible, and free from vendor lock-in, while maintaining high security standards.

Cloud Integration and Scalability

Our expertise in cloud integration, combined with Databricks’ cloud-native architecture, allows us to deliver highly scalable and secure data solutions across major cloud providers:

• Secure Multi-Cloud Deployments: We deploy Databricks solutions on AWS, Azure, and Google Cloud, ensuring that clients benefit from the native security features of each cloud provider, enhanced by Databricks’ security capabilities.
• Dynamic Scalability with Security: We configure auto-scaling clusters and serverless options within Databricks, ensuring that compute resources dynamically adjust to workload demands while maintaining strict security protocols and isolating workloads.
• Network Isolation and Private Connectivity: We implement secure network configurations, including VPC deployments, Private Link, and Secure Gateway, to ensure that data traffic remains isolated and protected from public internet exposure.

How We at Appinventiv Deploy Databricks Premier Partnership for Data Security

At Appinventiv, our deployment strategy for data security with Databricks is meticulous and comprehensive:

Secure Environment Setup: 

• We begin by provisioning secure Databricks workspaces within our clients’ Virtual Private Clouds (VPCs), ensuring network isolation and controlled access. \
• We configure Private Link and Secure Gateway to establish private, encrypted connections between Databricks and other cloud services or on-premise data sources.

Identity and Access Management (IAM) Integration: 

We integrate Databricks with existing enterprise IAM systems, implementing robust authentication methods and leveraging Unity Catalog to define and enforce fine-grained access controls. This includes setting up Role-Based Access Control (RBAC) and, where applicable, Attribute-Based Access Control (ABAC) to restrict data access based on user roles, attributes, and data sensitivity.

End-to-End Encryption:

We ensure data is encrypted at every stage:

• Data at Rest: All data stored in Delta Lake tables and underlying cloud storage is encrypted using customer-managed keys (CMK) where specified, providing clients with full control over their encryption keys.
• Data in Transit: We configure encryption for data moving between Databricks clusters and other services, as well as internal cluster communication, to prevent eavesdropping.

Proactive Data Governance Implementation: 

• We utilize Unity Catalog to establish a centralized metadata store, enabling automated data discovery, classification, and sensitive data tagging.
• We implement automated data quality checks and schema enforcement using Delta Lake, ensuring that only clean, compliant data enters the Lakehouse.

Comprehensive Auditing and Monitoring: 

• We enable detailed audit logging within Databricks, capturing all user activities, data access events, and configuration changes. These logs are integrated with security information and event management (SIEM) systems for continuous monitoring, anomaly detection, and compliance reporting.
• We also leverage Databricks Lakehouse Monitoring to track data quality and identify potential security risks related to data integrity.

Secure Data Sharing: For secure collaboration, we implement Delta Sharing, allowing clients to share live datasets with partners or other departments without data duplication, ensuring that shared data adheres to defined security policies.

“We are thrilled to deepen our collaboration with Databricks as a Premier Partner. By leveraging the full power of the Databricks Lakehouse Platform, we are uniquely positioned to provide our clients with comprehensive, end-to-end data security solutions that meet the most stringent industry standards and regulatory demands,” said Sudeep Srivastava, Director of Appinventiv.

About Appinventiv

Appinventiv, a global digital transformation leader with over 1,600 experts and 3,000+ successful projects, delivers ISO 9001/27001-certified mobile app development, web development, cloud solutions, data analytics, and SecOps services. It offers AI-powered SecOps, including risk assessment, vulnerability testing, threat intelligence, cloud security, code analysis, compliance monitoring, infrastructure management, CI/CD, and container security. Its data security measures—risk discovery, encryption, backups, monitoring, and GDPR/HIPAA/PCI-DSS compliance—protect sensitive data.

About Databricks

Databricks, the data and AI company, empowers organizations with its Data Intelligence Platform, built on an open lakehouse architecture. Founded in 2013 by the creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog, Databricks enables seamless data management, governance, and AI-driven insights tailored to organizational needs. Trusted by over 15,000 global organizations, including Block, Comcast, and over 60% of the Fortune 500, Databricks simplifies data and AI to solve complex challenges.

THE AUTHOR

Appinventiv Technologies