What's the AI security stack a Bangalore product company typically uses in 2026?

Layered stack: (1) Model layer — typically combination of OpenAI/Anthropic/Google APIs + smaller fine-tuned local models. (2) Guardrails — NeMo Guardrails or Llama Guard. (3) Input/output validation — custom classifiers + Microsoft PromptShields or AWS Bedrock Guardrails. (4) Monitoring — LangSmith, Helicone, Arize for LLM observability + drift detection. (5) Security testing — Garak, PyRIT, custom red team scripts in CI/CD. (6) Data — vector DB with row-level access (Pinecone, Weaviate, pgvector + Postgres RLS). (7) Compliance — typically aligned to NIST AI RMF + SOC 2 + DPDP Act. Bangalore startups vary significantly — interview question is really probing your understanding of the production reality.