Bengaluru, Oct 22: Matters.AI, the India-built AI-native data security company, today announced that its "AI Security Engineer" platform now secures more than 100 petabytes of distributed cloud data at Groww, one of India's fastest-growing investment platforms. More than 90% of critical security risks are now detected, triaged, and resolved end-to-end by the platform itself, without analyst intervention. Manual compliance and audit effort has fallen by more than 80%.
As enterprises scale their cloud environments, security teams are increasingly challenged to keep pace with the volume, complexity, and speed of data being created across them. Matters.AI’s deployment at Groww demonstrates how an autonomous AI security layer can move beyond monitoring and alerting to continuously identify, understand, and act on risks across a large-scale cloud environment.
As Groww expanded, its data spread across a growing number of business units and cloud environments faster than any team could watch by hand. The result was the pattern common to scaling enterprises: fragmented visibility, alert volumes that outpace triage capacity, and audits that turn into recurring manual fire drills.
Matters.AI was deployed as an autonomous system embedded directly in Groww's environment built to see across every surface, understand the context of what it finds, and act on it rather than simply reporting it upward.
Through a phased onboarding process, the platform brought all 100+ petabytes of Groww's data under unified guardrails with no measurable impact on production performance. It surfaced previously unknown shadow data assets across dozens of core infrastructure projects and now holds a mean time to detect under one minute for unauthorized data exposure.
Rather than routing high-confidence alerts into a human queue, Matters.AI routes them into automated remediation paths. More than 90% of critical issues are now detected, triaged, and resolved end-to-end by the agent, typically within four minutes and without analyst intervention.
That figure covers a defined class of high-confidence critical risks, not blanket automation across all security work. It frees Groww's team to focus on the judgment calls that genuinely need a person. Automated classification and continuous, audit-ready evidence generation have replaced manual compliance drills, cutting that effort by more than 80%.
"By neutralising our 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," said Prajal Kulkarni, Chief Information Security Officer (CISO) Groww.
"Groww is proof that an AI Security Engineer can protect a business at petabyte scale, seeing every surface, acting in seconds, and letting a lean team do what once took an army," said Keshava Murthy, CEO & Co-Founder, Matters.AI.
If autonomous remediation holds at 100+ petabytes with real customer money on the platform, it changes what a lean security team can realistically protect. Groww's deployment shows a business can scale without scaling its security headcount at the same pace.
