Privaclave AI Expands India Focus with Runtime Data Protection as DPDP
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.
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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