ARMOR AI-DLP | Next-Generation DLP for AI
Enable AI Safely Embrace AI Fearlessly
Safely adopt AI without losing control of sensitive data.
Intelligent masking and governance at every AI interaction without breaking AI context.
Trusted by industry-leading enterprises
Built for the Interactions That Matter Most.
AI Chat Protection
Employees access public AI tools through the ARMOR AI-DLP Portal. Sensitive data — PII, PHI, financial records, IP — is masked before it leaves the enterprise. Every interaction is logged. Productivity is preserved. Privacy obligations are met.
Internal AI Application Protection
Any internal AI application that calls the API automatically enforces data masking at the pipeline level. Sensitive data across prompts, retrieval layers, and knowledge bases is transformed into tokenized values before it ever reaches the model, keeping raw information protected throughout the workflow.
AI Governance and Compliance
Security and compliance teams gain full visibility into AI usage across the organization: which teams, which data categories, which models, which policies applied. Exportable audit trail satisfies HIPAA, GDPR, DPDP, PDPL/SAMA, and CCPA/CPRA requirements.
Data Sovereignty for AI
Sensitive data crossing sovereignty boundary is masked so real values never leave it. On-premises and BYOC deployment ensures the raw data stays within your operating jurisdictions.
Secure RAG
Privacy controls applied at the retrieval layer, before mixed-sensitivity content is assembled into a prompt. Knowledge bases containing regulated data can power AI assistants safely.
Interdepartmental and Vendor Data Sharing
The same masking layer that protects AI interactions applies to data shared between departments or sent to external vendors. Finance, legal, and operations teams can share what they need to without exposing what they should not.
Two Outcomes. One Protection Layer.
ARMOR AI-DLP delivers AI Privacy and Security and AI Governance in a single platform.
AI Privacy and Security
Sensitive data is intelligently masked using tokenization before it leaves the enterprise. Masking is reversible — de-tokenization is available for authorized users and systems. Blocking is available when a full stop is required. On-premises deployment ensures data never crosses sovereignty or residency boundaries through external API calls.
What it protects
How
PII, PHI, financial records, IP
Context-aware masking using tokenization in real time
Data sovereignty and residency
On-premises — data never leaves the enterprise network
AI agent interactions
Access controls governing what data agents can retrieve and process
RAG pipelines
Privacy controls at the retrieval layer, before content enters the prompt
AI Governance
Every AI interaction is logged: which user, which data categories, which policy applied, which model received the request. Security, compliance, and IT teams gain complete visibility into how AI is being used across the organization — for the first time. The audit trail exists before the regulator asks for it.
What it tracks
Who it serves
Prompts, files, data categories, model used
Security teams — full visibility across every AI interaction
User, team, and usage behavior
Compliance teams — exportable audit trail for regulatory review
Policy applied and enforcement actions
IT teams — usage controls and policy management via API
AI risk metrics over time
AI Risk and Governance Leader — board-ready reporting
What ARMOR AI-DLP is
A Next-Generation DLP, Built for the AI Interaction Layer.
ARMOR AI-DLP enables safe AI use without blocking it.
Safely enabling AI means your data remains private, sovereign, and under your control.
ARMOR DLP sits between users, applications, and AI model context windows to control how data flows into AI systems.
As data moves through prompts, retrieval layers, and applications, sensitive values are identified and tokenized in real time before reaching the model.
Use tools like ChatGPT, Gemini, and Claude, as well as internal AI apps and RAG pipelines, without exposing sensitive information.
Your data stays private, controlled, and within your environment, while every interaction is logged for full visibility and audit-ready compliance.
How It Works
ARMOR AI-DLP operates in the interaction layer between your users and the context windows of AI models. Every interaction — whether through the enterprise portal or a custom AI pipeline — passes through the same protection layer.
01
Detect
Sensitive values in prompts, documents, and queries are identified in real time using contextual intelligence based on data type, regulatory classification, and context.
02
Mask
Sensitive values are replaced with context-preserving entropy based tokenization that is virtually impossible to reverse-engineer.
The AI receives and works with contextual value, while real values stay secure in your environment.
03
Govern
Every interaction is logged: user, data categories, policy, and model.
Security and compliance teams get full visibility into AI usage across the organization.
04
Enable
Employees get complete, accurate AI responses. The organization gets a defensible audit trail.
Data stays private, sovereign, and within your environment.
Learn More About How AI-DLP Works
Two Ways to Deploy. One Protection Standard.
Same bi-directional masking engine. Same governance-grade reporting.
Flexibility for however your organization uses AI.
ARMOR AI-DLP (Portal)
Enterprise gateway to public AI tools. Includes data value tokenization, policy enforcement, user management, admin controls, white labeling, and usage logging built in.
No custom development required. For organizations enabling AI broadly across teams.
Supported environments
ChatGTP (OpenAI)
Claude (Anthropic)
Gemini (Google)
Any browser-accessible LLM
ARMOR AI-DLP (API)
Headless REST API for intelligent masking using data value tokenization, with de-tokenization for authorized access.
Admin APIs and audit log APIs included. For developers integrating privacy into custom AI pipelines, internal AI applications, and agentic systems.
Integration points
Custom LLM applications
RAG pipelines and knowledge bases
AI agent frameworks
Seclore DSPM and ARMOR platform
Built for Organizations Where Data Governance Is Not Optional.
Healthcare
PHI masking for clinical AI, HIPAA Safe Harbor and Expert Determination standards, AI-assisted documentation and care coordination with full compliance.
Financial Services
AI adoption with customer financial data and regulated reporting. Data sovereignty for cross-border AI deployments. Governance logs for PDPL/SAMA, GDPR, and CCPA accountability.
Government
Full data residency. AI systems processing controls for strict data boundary requirements citizen data. Support for in country hosted hyperscalers, like AWS and GPC.
Insurance
PHI and PII masking for claims processing AI. HIPAA, GDPR, and CCPA compliance. Governance logs for actuarial AI and fraud detection workflows.
B2B SaaS
Context-preserving tokenization for AI features built on multi-tenant data. Audit log APIs for SOC 2 and enterprise compliance requirements.
Compliance Built In. Not Bolted On.
ARMOR AI-DLP addresses data masking and privacy requirements across major global regulations — by architecture, not configuration.
HIPAA
PHI masking to Safe Harbor and Expert Determination standards. Governance logs as proof of control over clinical AI interactions.
GDPR
Masking of personal data before AI processing. Data residency enforcement. Audit trail for accountability obligation (Article 5(2)).
DPDP Act 2023
Masking of personal data before AI models process it. Data sovereignty via on-premises or India-hosted deployment.
PDPL
Data residency for AI systems processing Saudi personal data. Tokenization before cross-border API calls.
CCPA / CPRA
Masking of personal data before AI models process it. Data sovereignty via on-premises or India-hosted deployment.
A New DLP for AI. See it in Action.
See how ARMOR AI-DLP helps enterprises safely adopt AI without losing control of sensitive data.
ARMOR AI-DLP Demo
Part of the ARMOR Platform.
ARMOR AI-DLP is Seclore’s entry into the AI security market. It extends the ARMOR platform into the interaction layer between enterprise data and AI models.
ARMOR discovers sensitive data, understands its context, enforces intelligent protection, and provides persistent proof. ARMOR AI-DLP operates across all four outcomes in the AI adoption layer.
ARMOR Outcome
AI-DLP Role
Discover
Identifies and classifies sensitive data in real time as it flows toward an AI model.
Context
Contextual intelligence determines the right action for each interaction: mask or block.
Enforce
Masks sensitive values using context preserving, bi-directional tokenization before any model receives them.
Prove
Logs every AI interaction: user, data category, policy applied, model used.
Enable Safe AI Usage Across Your Enterprise.
See how ARMOR AI-DLP closes the gap between AI adoption and data protection. Book a 30-minute demo with the team.
