Customer Overview
Groww is a high-growth investment platform operating across a complex, multi-entity financial services ecosystem. Navigating a rapidly expanding footprint of distributed business units and internal stakeholders, the company requires an enterprise-grade data security posture that matches its scale. To sustain its growth safely, Groww partnered with Matters.AI to establish continuous data governance, secure its multi-surface environment, and seamlessly align with strict institutional and regulatory security benchmarks.
Fragmented Visibility: Decentralized cloud layers and internal tooling created critical blind spots across structured and unstructured data repositories.
Actionless Alert Noise: High-volume, unstructured security signals lacked context-aware filtering, creating severe triage bottlenecks for lean security teams.
Friction at the Edge: Meeting strict regulatory audit timelines while simultaneously satisfying internal SRE performance benchmarks and AppSec hardening gates.
Blind Data Propagation: Multi-entity data movement made tracking data flows difficult. Without end-to-end lineage, the team wasted hours manually mapping the context, intent, and impact radius of shifting data.
Unified Posture Control: Replaced fragmented scanning with a phased onboarding framework that surfaces petabyte-scale visibility across all data environments with zero impact on production performance.
Continuous End-to-End Lineage: Implemented deep data-layer tracking that automatically maps data flows from user endpoints straight to databases, visualizing the exact impact radius without human overhead.
Operationalized Telemetry: Integrated alert filtering, silencing, and automated workflow synchronization directly into engineering pipelines to turn noise into high-fidelity action.
Audit-Ready Compliance: Embedded automated data classification and contextual tagging, transforming compliance from a manual fire drill into a persistent, verifiable state.
Matters’ Impact
- Petabyte Scale Under Management
Brought over 100 PB across distributed, multi entity cloud environments under unified security guardrails, uncovering shadow assets across dozens of core infrastructure projects. - Real Time Awareness
Maintained a stable Mean Time to Detect under 1 minute across all monitored surfaces, instantly flagging unauthorized data exposure as it happened. - 90%+ Resolved Through Agentic Remediation, No Human in the Loop
Routed high fidelity alerts into agentic remediation paths, so over 90% of critical issues were detected, triaged, and resolved by the agent end to end, within 4 minutes and without analyst intervention. - Compliance Overhead Cut by 80%+
Replaced manual drills and reporting with automated compliance tagging and continuous audit ready evidence, cutting manual compliance and audit effort by more than 80%.
Strategic Takeaway
Securing a modern financial services platform demands a shift away from legacy feature checking toward unified, continuous data resilience. By neutralizing visibility blind spots and embedding compliance-grade telemetry directly into our operational workflow, Matters.AI has allowed us to scale our security architecture at the speed of business innovation.
