US fintech LXMQ selected Privaclave for runtime protection of sensitive data, a growing imperative for Indian BFSI, healthcare, and other data-driven enterprises.
With key Digital Personal Data Protection Act requirements taking effect on May 13, 2027, Indian enterprises are preparing for new obligations around consent, personal data protection, and breach reporting, with penalties for certain violations reaching up to ₹250 crore.
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US fintech LXMQ picked Privaclave AI to protect financial data at runtime. Indian enterprises face the same test before the DPDP obligations take effect on May 13, 2027. #DPDP
Privaclave AI is expanding its focus in India to address a critical part of that mandate: moving beyond cataloging personal data to protecting it persistently as it is accessed and used.
Since last year, Privaclave AI has expanded its footprint in India with local engineering support and continues to hire additional resources.
DPDP readiness cannot stop at knowing where sensitive data lives. The real test begins when that data is accessed and used. As AI assistants, agents, APIs, and applications increasingly interact with personal data, enterprises need protection that understands context and acts at runtime.
Privaclave’s Runtime Data Insights & Protection (RDIP) platform addresses that gap. It detects sensitive information in flight, evaluates identity, intent, business context, data sensitivity, and then applies data-centric protection before exposure. It deploys without application rewrites, SDKs, client or agent installs, or extensions.
“AI is fundamentally changing how sensitive data is accessed and shared,” said Sid Dutta, Founder and CEO of Privaclave AI. “Discovery and governance are essential, but they do not prevent data exposure. Organizations must understand who or what is requesting the data, why it is being requested, and what should be exposed in that context. Intent is the new security perimeter. Context is king.”
LXMQ, a San Francisco Bay Area fintech building an AI decision engine for the U.S. credit-card economy, selected Privaclave this August as a design partner to evaluate runtime protection before consumer scale. LXMQ’s engine continuously reasons over financial data, reflecting the increasingly dynamic, AI-driven architectures being built across Indian BFSI, healthcare, and other industries.
Privaclave AI complements existing DSPM, DLP, and IAM investments by adding runtime protection wherever sensitive data moves.
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