Enterprise Security & Compliance Portal
Security, compliance, and data protection architecture designed for institutional requirements.
Compliance Position
Our platform architecture is mapped to leading industry frameworks and regulatory requirements.
Note: The above represent architectural readiness and alignment positions, not formal certifications.
Security Architecture
All persistent data is encrypted at rest using industry-standard AES-256 algorithms.
Data in transit is secured via TLS 1.3 to protect against interception during transmission.
Granular role-based access control ensuring least-privilege principles across platform modules.
Enforced 2FA across user accounts for robust identity verification and session security.
Logical data separation ensuring complete isolation between institutional workspaces.
Immutable audit trails for critical operations, maintaining a forensic record of platform activity.
Architecture designed for real-time monitoring of threat vectors and operational anomalies.
Comprehensive incident response framework for containment, mitigation, and recovery.
Data Protection
Our platform incorporates personal data handling principles aligned with the requirements of India's Digital Personal Data Protection Act.
- Consent Management: Architecture ready for managing unambiguous, free, and informed consent.
- Data Minimization: Structured ingestion pipelines designed to extract only relevant material context.
- Purpose Limitation: Safeguards to ensure intelligence is only leveraged for underwriting and diligence contexts.
- Right to Erasure: Framework supporting data principal rights, including systematic record deletion capabilities.
Data Residency
Positioned for India-first deployment, we prioritize localization considerations for institutional risk operations.
- India-Hosted Infrastructure: Core system architecture oriented around data-centers located within the Republic of India.
- Localization Considerations: Engineered to keep sensitive institutional data within domestic borders.
- Cross-Border Data Protocols: Strict oversight and technical barriers on data transmission, designed for compliant sovereign boundaries.
AI Governance Framework
We do not deploy black-box models. Every systemic conclusion must point back to definitive evidence within your operational dataset.
Source-Cited Reasoning
Every AI-generated output is intrinsically linked to its source evidence, with precise citation mechanisms.
Evidence Traceability
Full chain of custody from original unstructured input through extraction parsing, up to the final logical conclusion.
Human-in-the-Loop
AI assists with parsing, extraction, and correlation; human analysts retain ultimate decision-making authority.
No Unsupported Claims
Strict confidence scoring and evidence thresholds prevent the system from generating unverified factual assertions.
Audit Trace Architecture
Corporate Policies
Privacy Policy
Outlines our personal data handling practices, consent frameworks, and data subject rights procedures.
Read SummaryTerms of Service
Details the operational bounds, service level considerations, and acceptable use guidelines for the KafaSys platform.
Read SummaryCookie Policy
Explains our utilization of essential session data to ensure platform security and functional integrity.
Read SummaryData Localization
Statement on our domestic infrastructure positioning and cross-border operational controls.
Read Summary