Responsible AI & Ethics Policy
Our commitment to developing transparent, fair, secure, and privacy-preserving Artificial Intelligence and Autonomous Agent systems.
1. Data Privacy & Zero-Training Guarantees
Shrimad Inc. enforces strict enterprise data protection. Client confidential data, proprietary codebases, and end-user interactions are never used to train public LLMs or third-party foundational models without explicit, written customer authorization.
2. Hallucination Guardrails & Deterministic Verification
Every generative AI pipeline we engineer implements structured schema validation, semantic guardrails (e.g. NeMo Guardrails), and citation verification to eliminate factual hallucinations in financial, legal, and medical applications.
3. Human-in-the-Loop Autonomous Systems
High-stakes actions (such as financial transactions, legal document execution, or production database alterations) must require verified human review before final execution by autonomous AI agents.
4. Security & Prompt Injection Defense
We audit AI applications against OWASP Top 10 for LLMs, including indirect prompt injection, vector database exfiltration, and model inversion threats.