Documents and images, not just text
Find sensitive information in documents and images, including text captured from scanned pages.
Sensitive data protection for generative AI
Detect and de-identify sensitive information across documents, images, prompts, responses, and logs. Apply security policies, block risky requests, and keep an audit trail of policy actions.
Blocking every request limits what teams can do. Allowing every request creates exposure. DocuSafety lets you apply rules for when information is allowed, de-identified, or blocked.
DocuSafety is more than a filter. It provides the controls and oversight needed to use generative AI in day-to-day work.
Find sensitive information in documents and images, including text captured from scanned pages.
Rather than blocking data outright, de-identify it so approved teams can search, summarize, and analyze it.
Connect DocuSafety to the generative AI applications you already run through the API.
Keep de-identification history, inputs, and allow/block decisions in one place to support oversight and audit reviews.
Process documents and images before they are searched, shared, or used with AI.
Detect personal and confidential information in documents and images. Apply masking, substitution, or pseudonymization according to policy, and retain metadata about the processed data.
AI DLP (data loss prevention) checks what is sent to a model and what comes back.
Check prompts, attachments, and model responses for sensitive information and policy violations. Detect and block prompt-injection and data-exfiltration attempts.
Oversee usage, alerts, and policy decisions from a central console.
Set security policies, monitor usage, and investigate alerts. Review requests, blocked activity, and processing history through centralized logs.
Route supported AI requests through DocuSafety to apply sensitive data detection, de-identification, policy checks, and response processing. Integrate with existing chatbots, RAG (retrieval-augmented generation) applications, AI agents, and business systems through the API.
Process personal information in forms, contracts, reports, and service records before using the data for approved analysis and AI tasks.
Apply policies to prompts and responses, monitor activity, and review how sensitive information is handled.
Configure access and policy controls to reflect the responsibilities of each team or role.
Pseudonymized data and generative AI governed by the same policies
Lower risk of exposing personal and confidential information
Earlier detection of prompt injection and unusual usage
Visibility into operations through audit logs and policy history
Clear rules that help staff use AI with confidence
DocuSafety covers documents, images, prompts, responses, and logs. It detects personal and confidential information in each, and manages de-identification, blocking, monitoring, and audit logs of policy actions in one place.
Yes, within the rules your policies set. Instead of blocking data outright, DocuSafety identifies personal and sensitive information in documents and images, applies masking, substitution, or pseudonymization according to policy, and returns the processed results with metadata for search, summarization, and analysis. Pseudonymized data can still be sensitive, so access and use remain subject to your policies.
Yes. DocuSafety integrates with existing chatbots, RAG (retrieval-augmented generation) applications, AI agents, and business systems through the API. Supported AI requests are routed through DocuSafety for sensitive data detection, de-identification, policy checks, and response processing, while users keep working in the tools they already know. Our team can review the integration scope for your systems.
Yes. DocuSafety detects and blocks malicious inputs such as prompt injection, along with attempts to extract internal information. It also controls whether sensitive or pseudonymized information can reach a model under your policies. Blocked requests are logged with the policy reason for each.
From a central console. Administrators manage security policies, monitoring and alerts, AI anomaly detection, log analysis, and usage statistics in one place. De-identification history, input history, and allow/block decisions are recorded together to support oversight and audit reviews.
Yes. Security policies are managed centrally, and access and policy controls can be configured by group to reflect the responsibilities of each team or role.
Talk to us about the data you handle, the AI systems you use, and the controls you need.