Seclore has launched Seclore ARMOR (Automated Risk Management Orchestration and Resilience), a unified Data Security Intelligence platform built to help enterprises adopt artificial intelligence securely and confidently. As organizations rapidly embed AI into core operations, the company aims to address the growing need for continuous, intelligent data protection that goes beyond traditional security models.
Today, enterprise security strategies are shifting. Instead of focusing only on data visibility, organizations now prioritize full lifecycle data control. Therefore, ARMOR was designed to unify data discovery, contextual intelligence, persistent enforcement, and compliance verification within a single platform. Unlike traditional Data Security Posture Management (DSPM) tools, which mainly focus on identifying where sensitive data exists, ARMOR ensures that organizations can continuously monitor and protect that data wherever it moves.
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As AI adoption accelerates, enterprise data usage patterns are changing significantly. Previously, data was primarily accessed by employees and applications. However, AI systems now read, generate, analyze, and act on sensitive enterprise data at massive scale. Moreover, many of these processes operate without direct human oversight. Because of this shift, organizations require security systems that can dynamically adapt to real-time conditions while maintaining governance and compliance standards.
ARMOR addresses this challenge by treating data discovery as the starting point of protection rather than the final objective. The platform begins with AI-driven data discovery and then extends intelligence directly into data protection workflows. Additionally, it evaluates data context, usage intent, and risk posture to apply adaptive security controls automatically. As a result, security policies travel with the data across users, systems, partners, and AI environments.
“AI can only scale when the data it uses is trusted,” said Vishal Gauri, Chief Executive Officer, Seclore. “The industry has made real progress in helping organizations see where sensitive data exists, but visibility alone does not create readiness. Data discovery should be the moment control begins. With ARMOR, we turn understanding into action so data is not just seen but continuously governed across every interaction with people and AI.”
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Furthermore, ARMOR differentiates itself by embedding context-aware intelligence and persistent enforcement directly into the data itself. Instead of relying solely on dashboards or alerts, the platform actively enforces policies and automatically remediates risks as data usage evolves. Consequently, organizations can reduce alert fatigue and shift toward measurable, automated risk reduction while still enabling business agility and AI innovation.
In addition, ARMOR provides continuous monitoring and audit-ready proof of compliant data handling. Security, risk, and compliance teams gain consistent visibility into how policies are enforced across internal teams, external partners, and AI systems. By consolidating discovery, intelligence, enforcement, and compliance verification into one unified control model, the platform helps enterprises replace fragmented security tools with a single execution-focused solution.
The launch of ARMOR also signals a broader transformation in enterprise cybersecurity priorities. Data Security Intelligence is increasingly becoming a foundational requirement for safe AI adoption. As data moves faster across digital ecosystems and decision-making becomes more automated, enterprises must deploy security models that operate in real time and demonstrate continuous compliance.
With ARMOR, Seclore strengthens its positioning as a Data Security Intelligence provider. The company continues to focus on helping organizations maintain trust and control over sensitive data across human and AI interactions. Ultimately, this enables enterprises to collaborate securely, accelerate AI adoption, and drive innovation while maintaining strong governance and risk management standards.
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