AI is moving faster than rules.
Risk is piling up.
ArthaShield exists to close this trust gap.
BFSI institutions face fragmented systems — CRM, core banking, emails — with no unified AI oversight. Compliance struggles to keep pace with innovation.
ArthaShield steps in as the SeatBelt for AI — giving you confidence to innovate with transparency, explainability, and compliance.
Pre-deployment checks, continuous monitoring, explainable dashboards, and governance controls — all in one platform.
Validate AI models for fairness, bias, and regulatory compliance before going live.
Continuous model oversight to detect drift, anomalies, and compliance violations.
Role-based approvals, audit-ready dashboards, and ISO-aligned governance controls.
We align with leading AI governance programs and research to make our approach auditable, principled and regulator-friendly.
Cutting-edge research and practical frameworks that inform responsible AI design and institutional controls.
Why it matters: MIT’s work helps translate academic research into actionable governance — the language banks and regulators respect. We adopt their frameworks for model evaluation, fairness testing, and stakeholder impact analysis.
Practical, multi-stakeholder playbooks for aligning AI deployment with public interest and regulatory expectations.
Why it matters: The WEF’s Alliance provides cross-industry standards and operational checklists we use for governance-ready product design and stakeholder reporting.
Note: We reference these programs to show our alignment with global governance thinking.
Arthashield is designed with responsible AI and governance in mind. Our product is aligned to global AI management best practices — providing explainability, auditability, and governance controls for financial services.
We believe trust in AI should not be designed behind closed doors. ArthaShield’s early prototypes are being co-created with a community of engineers, auditors, and thinkers who share one goal — to make intelligence accountable.
Join us in building a visual layer that translates complex AI reasoning into human-readable insights for regulators and teams.
Contribute on GitHub →A daily micro-challenge for compliance and risk teams to test, learn, and build AI intuition through practical use-cases.
Try a Challenge →Partner with innovators shaping the AI trust ecosystem — from data lineage tools to autonomous audits.
Join the Network →Every contribution shapes how trust will look in the AI era.
Start Building with UsYour questions about ArthaShield answered clearly and concisely.