Secure AI Workflows and Protect Sensitive Data Used in AI
AI is transforming how organizations work. But without proper controls, sensitive data can quickly spread through AI systems in ways that are difficult to detect or stop.
Confidencial helps organizations discover, protect, and govern sensitive data before it enters AI workflows, enabling teams to use AI safely while maintaining control of their most valuable information.
Confidencial provides AI data protection to secure intellectual property, regulated data, and confidential business information across RAG pipelines, vector databases, copilots, and AI agents.
What Is the Risk of AI Data Exposure?
AI systems depend on data. But most organizations lack visibility and control over the sensitive information being used across AI workflows.
When employees upload files, connect document repositories, or copy internal data into AI tools, sensitive information can be unintentionally exposed.
This includes:
intellectual property and proprietary research
personally identifiable information (PII)
Over 60% of CISOs cite intellectual property leakage from AI systems as a top concern.
protected health information (PHI)
financial records and regulated data
confidential legal or strategic documents
Once sensitive data enters AI pipelines, it can appear in:
vector databases used for retrieval-augmented generation (RAG)
prompts and model interactions
AI responses and outputs
logs, embeddings, or training datasets
Real-World AI Risk Scenario
Most organizations are deploying AI tools faster than governance programs can adapt.
A team connects an internal document repository to an AI assistant.
Sensitive contracts, research reports, and customer records are automatically indexed into a vector database.
Another employee copies confidential information into an AI prompt to accelerate a task.
Neither action is malicious. But both can expose highly sensitive information.
Traditional security tools focus on applications or network access. They rarely protect the data itself once it enters AI systems.
Confidencial applies data-centric protection so sensitive information remains protected before, during, and after it is used by AI.
How Confidencial Secures AI Workflows
Confidencial protects sensitive data across the entire AI lifecycle, from source documents to AI responses.
Sensitive information is discovered, classified, and protected before it enters AI systems, enabling organizations to adopt AI safely while maintaining control of critical data.
Our Approach
Discover Sensitive Data Before AI Touches It
Automatically identify sensitive data across cloud storage, repositories, and document systems.
Detect intellectual property, PII, PHI, financial data, and confidential business information before it enters AI pipelines or training workflows.
Apply Selective Encryption and Tokenization
Protect sensitive information at the document, page, or field level while keeping the rest of the content usable.
This semantic-preserving protection enables AI systems to maintain context and accuracy while preventing exposure of sensitive data.
Enforce Policy-Based Access Controls
Control which users, systems, or AI agents can access specific information.
Least-privilege policies ensure that employees and AI systems only access the data they are authorized to see.
Provide Full Auditability and Governance
Every interaction with sensitive data can be logged and audited.
Security and compliance teams gain visibility into:
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who accessed sensitive data
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how it was used
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whether it was exposed through AI workflows
This enables organizations to support responsible AI programs and regulatory compliance.
Protect Data Across AI Workflows
Confidencial applies protection across the entire AI stack, including:
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document repositories
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vector databases
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RAG pipelines
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AI copilots and agents
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model training and inference workflows
Protection travels with the data, ensuring security persists even when information moves between systems.
Common AI Security Scenarios
Scenario
How we help
Employees may unknowingly paste confidential information into AI tools. Confidencial detects and protects sensitive content before it can be exposed through prompts or uploads.
Sensitive data entering AI prompts
AI agents frequently rely on vector databases built from internal documents. Confidencial protects both the original documents and the resulting embeddings, preventing sensitive information from being reconstructed or exposed.
Unsecured knowledge bases used for RAG systems
Files shared between teams, partners, or AI workflows can lose protection once they leave core systems. Confidencial ensures protection travels with the document wherever it is used.
Sensitive documents shared through AI-enabled collaboration
AI agents can inadvertently reveal confidential information when responding to queries. Confidencial enforces runtime policies that ensure only authorized information is returned in AI responses.
AI responses exposing regulated data
How Confidencial Works
Confidencial integrates with the systems where sensitive data already lives while giving organizations flexible ways to deploy secure AI workflows.
Teams can either embed Confidencial directly into their existing AI infrastructure or use Confidencial’s secure application environment to build and manage protected AI workflows.
Connect Documents and Build a Knowledge Base
Connect unstructured documents and create a vector database to power AI search, copilots, and retrieval workflows.
Discover Sensitive Data Before AI Ingestion
AI Guard scans documents before they enter the vector database, automatically identifying sensitive data such as IP, PII, and regulated information.
Protect Sensitive Information
Apply selective encryption or tokenization to sensitive spans within documents.
Protection preserves semantic meaning so AI workflows can continue operating without breaking model performance.
Secure Embeddings in the Vector Database
Embeddings remain protected, preventing sensitive data from being reconstructed even if the vector database is compromised.
Enable Secure AI Access
Users and AI agents query the knowledge base through governed AI workspaces or existing applications, ensuring only authorized information is revealed.
Business Impact
Reduce the risk of sensitive data exposure in AI systems
Enable secure adoption of AI across the enterprise
Support responsible AI governance programs
Protect intellectual property and proprietary research
Maintain compliance with global data protection regulations
Built for Responsible AI and Regulatory Compliance
As AI adoption accelerates, regulators and industry frameworks increasingly require organizations to demonstrate control over the data used in AI systems.
Confidencial helps organizations implement controls aligned with leading governance frameworks, including:
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EU AI Act
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ISO/IEC 42001 AI Management Systems
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NIST AI Risk Management Framework
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GDPR and global privacy regulations
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HIPAA and regulated healthcare data requirements
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OWASP Top 10 for LLM Applications
These frameworks emphasize visibility, governance, and protection of sensitive data across AI workflows. Confidencial provides the controls needed to support these requirements while enabling innovation with AI.
Ready to Secure Your AI Workflows?
Organizations are moving quickly to adopt AI. But innovation cannot come at the cost of losing control over sensitive data. Confidencial enables organizations to use AI safely by protecting sensitive information before it enters AI workflows.
Protect intellectual property, regulated data, and confidential business information while enabling teams to move faster with AI.