Full auditability, every AI interaction is logged with a unique trace_id, allowing for complete traceability. Integrated observability provides full transparency into how AI decisions are made and which data was involved.

No Black Box AI. We use customer-isolated Retrieval-Augmented Generation (RAG) to directly connect AI outputs back to specific document sources, ensuring full visibility into how insights are generated; while maintaining data isolation at the customer level.

Aligned with ISO/IEC 42001 (AI Governance) and ISO/IEC 27001 (Information Security). Prepared for the upcoming EU AI Act, helping ensure our solutions remain low-risk for financial services.

Same guarantee, but enforced with Inference-Only AI policies, supported by audit logs and verification mechanisms.

Clients have full control over AI capabilities through feature flags and can restrict which datasets are accessible for AI processing.

Data residency enforced through Azure's regional controls, fully compliant with GDPR and CCPA. No cross-region data movement.

GSmart employs rigorous, multi-layered security testing integrated into our CI/CD pipelines. This includes proactive "red team" testing against carefully curated golden datasets - validating inputs and outputs of prompts, comprehensive static and dynamic security scans on all code, and systematic benchmarking of AI models for vulnerabilities, compliance, and performance.

All data is encrypted using advanced cryptographic standards. Data in transit is secured via TLS 1.2+ protocols, employing modern cipher suites such as AES-GCM, ECDHE, and SHA-384 hashing algorithms. Data at rest utilizes AES-256 encryption, with key management rigorously controlled and regularly rotated per Azure's enterprise-grade standards. Our encryption practices fully align with SWIFT Customer Security Controls Framework (CSCF).

Active evaluation of AI use cases against the EU AI Act framework to ensure compliance and maintain low-risk classification.

GSmart employs a comprehensive Zero Trust Security Architecture, anchored by Azure Managed Identity. This approach eliminates risks from hardcoded credentials and enforces strict role-based access controls (RBAC). All resources and interactions are continuously authenticated and validated. This principle of least privilege ensures users and systems have only the minimum access necessary, significantly reducing the attack surface and enhancing security resilience. All interactions are meticulously logged and monitored, enabling swift detection and response to any anomalies or unauthorized access attempts.

Agentic capabilities in GSmart are securely constrained within customer-defined boundaries. Agents interact solely with customer-specific, isolated datasets and do not utilize or train on information from other clients. Each agent operates under stringent permission sets, with comprehensive auditability, and system-defined security guardrails, empowering users to innovate safely and confidently without sacrificing data privacy or control.