SecureAI
Protect Sensitive Data Across the AI Lifecycle
SecureAI protects sensitive data from ingestion to output across AI workflows—helping you innovate with AI without compromising security, privacy, or compliance.
AI-Ready Protection
Classify and protect data before it enters AI systems.
Access Controls
Enforce least-privilege access for users, apps, and AI agents.
Policy Enforcement
Apply policies across AI workflows in real time.
Visibility & Monitoring
Monitor, audit, and prevent unauthorized data exposure.
Use AI with internal data without exposing sensitive information unnecessarily.
OnData SecureAI helps organizations prepare, protect and govern sensitive data for analytics and generative AI workflows with data-layer controls, de-identification, masking and need-to-know access.
Artificial intelligence can help organizations ask better questions, find patterns, detect anomalies, generate reports and automate workflows. But AI initiatives depend on data, and that data often contains customer information, regulated records, employee data, financial details, health information, legal content or other confidential material.
Organizations need a way to use internal data for AI without handing unnecessary sensitive information to public or private models, unauthorized users or ungoverned workflows. SecureAI helps teams make sensitive data safer for AI-driven analysis while preserving the insights the business needs.
Responsible AI Starts With Protected Data
AI can help improve outcomes and operational efficiency across public and private sector organizations. But without the right guardrails, it can also increase risk. SecureAI ensures sensitive data is protected before, during, and around AI—so you can explore, build, and deploy AI with confidence.
The Challenge of Using AI With Sensitive Data
AI systems learn from the data they can access. If that data includes personally identifiable information, protected health information, benefits data, eligibility records, or case details, the risks are real.
- Sensitive data can be exposed in prompts, outputs, or logs
- AI platforms may retain or reuse your data
- Over-privileged access increases insider and vendor risk
- Regulations require policies for how data is used in AI
- Legacy systems and data silos complicate safe AI adoption
Organizations need a secure way to use AI that supports innovation without putting sensitive data at risk.
AI adoption is creating a new data exposure challenge.
Generative AI makes it easier for users to query data, summarize documents, generate answers and automate tasks. That ease of use also creates risk. Sensitive data can be copied into prompts, used in model workflows, exposed through generated responses, or made available to users who should only see a limited view.
The problem is not only the AI model. It is the data preparation and access model around the AI workflow. Which data sources are available? Which fields contain sensitive values? What should be masked or de-identified? Which users can retrieve original values? How are prompts, outputs and access events governed? How can teams use AI safely without slowing every project?
SecureAI gives organizations a data-centric foundation for answering those questions.
Protect sensitive data before AI uses it.
SecureAI helps organizations connect internal data to AI and analytics workflows while limiting exposure of sensitive information. The product uses OnData's data-layer protection approach to classify sensitive data, apply masking or de-identification, enforce need-to-know access and support secure insight generation.
Teams can use public or private generative AI engines for queries, reports, trend analysis, anomaly detection and workflow automation while reducing the chance that sensitive values are unnecessarily revealed or retained. Authorized users can receive the level of detail they are approved to see. Other users can work with protected, masked or summarized information that supports analysis without exposing confidential data.
How OnData SecureAI Protects You
SecureAI applies policy-driven controls and intelligent automation to keep sensitive data protected across the entire AI lifecycle.
Discover and Classify
Automatically identify sensitive data across databases, files, and pipelines used in AI workflows.
Enforce Policies
Apply granular, role-based and context-aware policies to control what data AI systems can access and how it's used.
Protect in Real Time
Mask, tokenize, or redact sensitive data in prompts, outputs, and logs—before it reaches or leaves the AI environment.
Monitor and Audit
Track AI data interactions with comprehensive logging, risk insights, and audit-ready reporting.
Enable Innovation
Provide authorized teams with the data they need to build and deploy AI solutions safely and responsibly.