Privaclave AI Featured in ET Enterprise AI: India Expansion as DPDP Drives Demand for Runtime Data Protection
August 25, 2026 | In the News
Privaclave AI was featured by ET Enterprise AI, an Economic Times publication, highlighting the company’s growing focus on India as enterprises prepare for the implementation of the Digital Personal Data Protection (DPDP) framework.
The article examines the growing need for Runtime Data Protection as AI assistants, agents, applications and APIs increasingly access and use sensitive enterprise and personal data.
With key DPDP requirements taking effect from May 13, 2027, Indian enterprises face increasing expectations around personal data protection, consent and breach accountability. Privaclave believes meeting these requirements requires moving data protection closer to the point where sensitive information is actually being used.
Privaclave’s Runtime Data Insights & Protection (RDIP) platform provides a security layer across AI and enterprise data flows, combining runtime visibility with the ability to dynamically protect sensitive information through encryption, tokenization, masking and de-identification.
As Privaclave Founder & CEO Sid Dutta explains in the article:
“Protection must no longer be the final phase of a compliance program; it needs to occur in parallel with visibility and governance.”
This becomes even more important in the age of AI, where identity alone may not provide enough context to determine whether sensitive information should be exposed for a particular interaction.
At Privaclave, we believe:
Intent is the New Security Perimeter. Context is King.
Privaclave continues to expand its presence in India, including local engineering support and talent, as the company works with enterprises to address the convergence of AI adoption, data protection and evolving privacy requirements such as DPDP.
Read the full coverage on ET Enterprise AI.
PRESS RELEASE | AUGUST 11, 2026 | San Francisco and Mason, Ohio
LXMQ Selects Privaclave AI for Runtime Data Protection
Building trust and data protection into financial AI before consumer scale
Privaclave AI is excited to announce a design partnership with LXMQ, the fintech building a Decision OS for the U.S. credit-card economy.
As LXMQ develops AI-driven intelligence across card selection, rewards, repayment, fees, utilization and credit health, the partnership will evaluate how Privaclave’s Runtime Data Insights & Protection (RDIP) platform can protect sensitive information as AI accesses and uses it.
The collaboration reflects a shared principle: security should be engineered into AI before scale, not added afterward.
Privaclave brings intent- and context-aware protection directly into AI and enterprise data flows, automatically applying encryption, tokenization, masking or redaction based on the sensitivity and context of the interaction.
Intent is the New Security Perimeter. Context is King.
The pilot will run within LXMQ’s environment, with both companies also exploring future innovation around trusted AI infrastructure for financial services.
View the official release on Business Wire.