Clear governance starts with our own platform.
Sutra Check operates as an open, privacy-first regulatory intelligence platform. Below are our verifiable model disclosure benchmarks, grievance redressal SLAs, zero-data-retention client architecture, and institutional disclosures.
Indian Model Disclosure & Algorithmic Transparency Standards
While MeitY’s November 2025 AI Governance Guidelines (Sutra 5: Accountability and Sutra 6: Understandability by Design) establish voluntary design goals, deployers in India face immediate binding disclosure duties under IT Rules 2026, DPDPA 2023, and CPA 2019. We define four non-negotiable transparency disclosures for production AI:
System Cards & Intended Operating Envelopes
Every production model serving Indian users must maintain a publicly accessible System Card specifying: model architecture, intended operational domain, known edge-case failure modes, and human-in-the-loop escalation criteria for consequential decisions (credit, employment, grading).
Synthetic Media Provenance & Machine-Readable Watermarking
Pursuant to the February 2026 IT (Intermediary Guidelines) Amendment Rules (G.S.R. 120(E)), deployers generating or modifying synthetic audio, video, or imagery must embed indelible, tamper-evident cryptographic metadata (C2PA standard) and prominent visual notices of synthetic generation.
Training Data Lineage & Purpose-Specific Notice
Entities utilizing Indian personal data for fine-tuning or retrieval-augmented generation (RAG) must document verifiable consent notices under Section 6 of DPDPA 2023. Scraping unverified datasets containing minor data or biometric identifiers without verifiable consent constitutes statutory infringement.
Indic Linguistic & Demographic Fairness Disclosures
Deployers of voice assistants, acoustic recognition, and LLMs across Tier-2/3 Indian regions must disclose benchmark evaluation results across Indic dialects and non-English scripts. Suppressing severe error disparities while marketing national parity violates CPA 2019 Section 2(47).
Statutory Grievance Redressal SLA & Escalation Protocol
Indian jurisprudence does not allow black-box AI platforms to operate without a designated, Indian-resident Grievance Redressal Officer. Below is the statutory SLA matrix defining legal response windows, takedown speeds, and appellate recourse under active laws:
| Complaint / Trigger Category | Statutory Legal Grounding | Mandatory Response SLA | Appellate / Regulatory Escalation |
|---|---|---|---|
| Non-Consensual Sexual Imagery & Deepfake Nudity | IT Rules 2026, Rule 3(2)(b) (G.S.R. 120(E)) | Within 2 Hours (Expedited Takedown) | National Cyber Crime Reporting Portal (cybercrime.gov.in) |
| Court- or Government-Notified Unlawful Synthetic Content | IT Rules 2026, Rule 3(1)(d) | Within 3 Hours (Down from 36h) | High Court Writ / Designated Authorized Agency |
| Statutory Grievance Formal Acknowledgment | CPA E-Commerce Rules r. 5(4) & DPDPA § 13 | Within 48 Hours | Unique ticket reference generated & communicated |
| Algorithmic Decision Contestability & Human Review | CPA 2019 § 2(47) & DPDPA 2023 § 13 | Within 15 Calendar Days (Max 30 days) | Grievance Appellate Committee (GAC) / CCPA Bench |
| Personal Data Breach or Misuse Escalation | DPDPA 2023 § 8(6) & Section 28 | Promptly / 72h Formal Report | Data Protection Board of India (DPBI) |
To trigger enforceable statutory timelines, grievances must include: (1) Complainant Identification, (2) Timestamp & Specific Model Output UID or URL, (3) Exact Nature of Harm or Error, and (4) Desired Remedy.
Sutra Check’s Zero-Data-Retention Architecture
We believe compliance platforms should never become security vulnerabilities. Sutra Check is engineered from the ground up to guarantee absolute data privacy for engineering teams and GCC leaders:
Local Client Execution
The Risk Classifier, Matrix filters, and Grievance Policy Generator run entirely inside your browser's JavaScript runtime. Zero architecture prompts or assessment answers are transmitted to any remote cloud server.
Zero Remote Telemetry
We operate without third-party advertising scripts, behavioral session replay trackers, or cross-site fingerprinting. Your compliance posture remains strictly confidential to your internal team.
Primary Source Integrity
Every statute, clause, and penalty figure in our dataset is grounded in official gazettes, parliamentary bills, and regulatory circulars — audited and maintained without algorithmic hallucination.
Core Legal & Platform Disclosures
Our Mission & Research Methodology
Understand why Sutra Check was built: bridging the critical gap between MeitY’s 7 voluntary AI Sutras and enforceable legal statutes like DPDPA 2023, IT Rules 2026, and CPA 2019 for India’s AI engineering ecosystem.
Contact & Statutory Grievance Redressal
Direct communication channels for legal counsels, GCC compliance leads, and startup founders. Features our designated Grievance Redressal Officer mandated under IT Rules 2021 and DPDP Act 2023.
Privacy Policy & Zero-Retention Architecture
We practice strict data minimization under the Digital Personal Data Protection Act 2023. Our compliance classifier and grievance policy generator run entirely in your local browser sandbox without storing model weights or proprietary code.
Terms of Use & Statutory Disclaimers
Clear guidelines on the educational, analytical, and decision-support nature of Sutra Check. Explicit boundaries distinguishing structured statutory mapping from formal attorney-client privileged legal counsel.