IRIS is an AI‑powered, context‑aware data security platform designed for Indian enterprises, automatically discovering, classifying, and assessing compliance of sensitive data across infrastructure. It delivers India‑first compliance with DPDP standards, achieves 95% PII detection accuracy, and can be deployed in as little as 30‑60 minutes, enabling rapid protection of user data as organizations adopt generative AI tools.
Funding
Funding not disclosed
Founders
Product
Problem
Indian enterprises face increasing risk of data leakage as sensitive personal information flows through ungoverned generative AI tools and legacy security workflows, while existing data security platforms are not tailored to Indian data formats or DPDP regulatory requirements.
Solution
IRIS is an India‑first data security platform that automatically discovers, classifies, and enforces compliance for sensitive data across databases, data warehouses, and cloud storage. Its context‑aware AI model recognizes Indian identifiers such as Aadhaar, PAN, GSTIN, and UPI, achieving 95% detection accuracy. The platform deploys in 30–60 minutes and provides built‑in DPDP Act compliance workflows, including automated breach reporting and audit‑ready documentation. Integrated services cover data discovery, classification, risk scoring, access governance, compliance mapping, and reporting, delivering a unified view of data security posture. Organizations can continuously monitor 37 DPDP controls and generate real‑time compliance reports without manual intervention.
Target Audience
Primary customers are Indian enterprises, including midsize and large organizations, that need to protect user data, meet DPDP compliance, and secure data assets across on‑premise and cloud environments.
Features
- Connectors for major databases and cloud sources (PostgreSQL, MySQL, Oracle, MSSQL, Snowflake, BigQuery, Redshift, Databricks, SAP HANA, S3, OneDrive, Google Drive) to catalog schemas, tables, and columns
- Regulatory‑aware detector library with built‑in Indian identifiers (Aadhaar, PAN, GSTIN, Bank Account, UPI) and global PII/PHI patterns, delivering 99.9% Aadhaar detection accuracy
- Context‑aware AI classification that scores confidence, reduces false positives, and focuses alerts on genuine risk
- Automated DPDP compliance engine with 37 controls, 6‑hour breach reporting, and audit‑ready documentation
- Risk scoring across data assets (sensitivity, exposure, protection credits) with critical, high, medium, low levels
- Access governance module that identifies excessive, unused, and privilege‑creep permissions across supported data stores
- One‑click report generation in PDF, CSV, and Excel, with scheduled delivery and full audit trail