Security and compliance risks are slowing down banks and financial institutions from realizing the transformative capabilities of AI services on cloud.
of organizations are yet to implement ongoing monitoring and controls required to mitigate AI risks. (Source: Accenture)
of banks consider managing compliance around cloud-native AI services as their top concern. (Source: FCA)
of consumers are concerned about their data privacy when it comes to AI applications in banking sector. (Source: Deloitte)
Secure Data Lab (SDL)
A SaaS app providing continuous, comprehensive security and compliance assurance for LLM, Generative AI, and other Machine Learning services from Google Cloud, AWS, and Azure.
To leverage AI/ML capabilities on cloud, Financial Institutions (FIs) and enterprises operating in regulated industries must ensure that their security and compliance obligations are met, while feeding confidential data into such AI applications on an ongoing basis.
SDL app provides a secure-by-design and compliant-by-default cloud-native data modeling environment for banks and financial services companies to operate on confidential data without missing on any cybersecurity and technology compliance requirements.
SDL provides a fully integrated and extensible framework covering data lifecycle management, AI/ML model development, and insights integration. Moreover, the app comes with pre-built security and compliance controls, so enterprises don’t have to wait months to build controls required for cloud-based AI services. This enables banks and financial services companies to deliver business outcomes up to 80% faster.
SDL Core Features
Managed Workflows for Data Governance and Lifecycle Management for Cloud-native AI Services
Role-based Access Controls - Data Owners, Data Contributors, Data Scientists, and Data Operators
On-demand, Automated Provisioning of Secure and Compliant Cloud Deployment Infrastructure
AI-based Insights, Integrated into Enterprise Systems and Processes
What Does SDL Enable?
SDL delivers data, cloud, and AI governance at scale, enabling banks and financial institutions to build and use cutting-edge AI solutions.
Secure Ingestion of Confidential Data for Cloud-native AI Services
Complete Observability & Continuous Manageability of Cloud Compliance Posture
Accelerated AI Deployments on Cloud
Proactive Risk Mitigation - Reduced Security & Compliance Costs
SDL Edge - For All Roles
Cloud Admins / DevOps Engineers
Cloud admins and DevOps engineers first need to know and understand the best practices to deploy AI-powered apps on cloud. Then, they need to execute deployment of such apps in a secure and compliant way, within the desired time frame.
SDL significantly shrinks down this entire curve, enabling cloud admins and DevOps engineers to launch AI-powered services on cloud easily, up to 10x faster.
- Streamlined deployments
- Enhanced security and compliance
- Simplified user management
- Proactive compliance monitoring
- Efficient resource management
- Improved infrastructure security
- Reduced operational complexity
SDL enables business owners to fast-track testing, deployment, and launching of AI-powered services on cloud easily, up to 10X faster, and accelerate revenue streams.
- Accelerated cloud-based AI initiatives
- Comprehensive governance controls
- AI application in the business
- Actionable insights out of your confidential data
- Risk mitigation
- Stakeholder alignment
- Enhanced innovation
- High agility & adaptability
- Improved decision-making
GRC (Governance, Risk Management, and Compliance) Team
SDL enables cloud governance, risk management, compliance, and security professionals to effectively navigate the complexities of cloud environments, maintain regulatory compliance, and ensure the security of their organization's cloud-based systems and data.
- Real-time insights
- Proactive risk management
- Enhanced audit capabilities
- Improved collaboration
- Reduced compliance costs
Information Security Team
SDL helps CISO and team to ensure a strong security posture on the cloud, protecting the AI-based service and sensitive data used for these models, and enhancing the overall security and resilience of the organization.
- Real-time compliance monitoring
- Continuous manageability
- Threat intelligence
- Vulnerability management
- Threat detection
- Incident response
- Robust security governance