Seclore Launches ARMOR AI-DLP to Enable Safe Enterprise AI Adoption

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May 8, 2026 - 22:13
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Seclore Launches ARMOR AI-DLP to Enable Safe Enterprise AI Adoption
“Seclore Launches ARMOR AI-DLP to Enable Safe Enterprise AI Adoption”
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8 May 2026
https://newswaala.com/seclore-launches-armor-ai-dlp-to-enable-safe-enterprise-ai-adoption
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Seclore Launches ARMOR AI-DLP to Enable Safe Enterprise AI Adoption

New product gives organizations a governed path to using AI with sensitive data, with full data sovereignty, compliance coverage, and integration into the ARMOR data security intelligence platform

Mumbai (Maharashtra) [India], May 8: Seclore, the Data Security Intelligence company, today announced the general availability of ARMOR AI-DLP to help enterprises safely adopt AI without losing control of sensitive data. By addressing the operating model legacy data loss prevention was not built for: sensitive data moving at AI speed, through AI workflows, across AI tools around the world, CISOs can meet their board’s AI acceleration directives by enabling the sanctioned use of public AI tools, like ChatGPT, Claude, and Gemini, and deploying, AI applications, RAG pipelines and agentic AI systems, without compromising data sovereignty, regulatory compliance, or operational control.

AI-DLP identifies sensitive data at the interaction layer in real time between users and applications on one end and AI agents and models on the other, masking it in a bi-directional manner using context-preserving tokenized values before the data reaches any model. The AI can fully reason over the masked data and return results, while real values remain secured within the enterprise environment. On the way back, when the model returns the response, the data is de-tokenized with the original values reinserted to provide complete, useful outputs.

The product ships in two versions. ARMOR AI-DLP Portal: an enterprise gateway that gives the workforce sanctioned, audited access to public AI tools. Every prompt, every response, every user is logged. ARMOR AI-DLP API: lets engineering teams embed data masking capabilities directly into their own applications to safely access AI models, RAG pipelines, and agent workflows with no disruption to the user experience.

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