Implementing solutions at scale without compromising security and privacy
Data is the foundational asset for enterprises to successfully embrace data driven transformation. Security and privacy compliance needs to be maintained at the highest levels laid out by enterprises.
At SpringML, we have a dedicated team that specializes in security for AI projects. We provide services to securely manage data in the cloud, data governance compliance and security audit reporting.
SpringML specializes in data encryption management, identifying and masking confidential data, role based access control and network security access to data for internal and external users.
SpringML achieves Security Specialization in the Google Cloud Partner Advantage Program
Cloud Firewalls and cloud networking fabric to meet enterprise’s unique security needs
Encryption & Key Management
Best practices on data management and governance
Identity and Access Management (IAM)
Granular and policy based role based access for authorization and access
Data Loss Prevention
Identify sensitive and confidential data and allow to mask and obfuscate
Custom private network setup to operate at high levels of security in order to meet guidelines and compliance
Data protection and governance management for both data at rest and in transit
Security Audit & Assessment
DevOps with dedicated focus on security workstream
Fraud Detection Demo Video
SpringML has a solution that can be quickly implemented with a few key data points to flag high probability / high propensity fraudulent claims.
Improper Payment On-Demand Webinar
SpringML’s on-demand webinar will help you to manage a successful and efficient vaccine distribution and allocation.
SpringML's Fraud Detection Solution
SpringML developed a Google Cloud-based solution using machine learning to help identify patterns in the claims.