Verified by the Enterprise Board
Our multi-persona AI safety team ensures strict compliance and zero-server security at every layer.
"PrivacyScrubber eliminates Shadow AI risk by intercepting PII at the edge. We've mapped this hub to SOC 2 Type II CC6.7 and ISO 27001 A.8.11 masking controls."
"Under GDPR Article 25 (Privacy by Design) and HIPAA Safe Harbor, local anonymization removes the AI provider from the 'Data Processor' chain, negating complex DPA liabilities."
"A single GLBA or PCI-DSS violation costs 100x more than a site-wide license. We provide verifiable ROI through data loss prevention at the prompt level."
The Autonomous Pipeline Privacy Gap
Make/Zapier Webhook Leaks
Automation nodes often pass raw CRM data, customer tickets, or email outputs directly to external AI LLM APIs, exposing sensitive customer PII to cloud vendor logging and storage.
RAG Vector Store Poisoning
Loading un-masked corporate documents, wikis, and transcripts into vector databases for RAG (Retrieval-Augmented Generation) creates permanent, indexed caches of sensitive employee and client data.
Autonomous Secret Exposure
Coding and DevOps agents (Cursor, Claude Code, custom CLI tools) consuming local codebases and config files frequently leak database credentials, architectural secrets, and private API keys to third-party models.
Raw Input: Process customer record Jane Doe (ID: 981-22-3021) at jane@doe.com
Sanitized: Process customer record [NAME_1] (ID: [ID_1]) at [EMAIL_1]
Secure Agent Architecture
Modular, client-side data protection for autonomous AI systems and workflows.
Intercept Payload
Before triggering any AI execution step, capture the raw prompt or text context locally at the orchestration layer.
Local Masking
PrivacyScrubber analyzes the payload inside browser memory, substituting customer identities and secrets with structured tokens.
Secure LLM Call
Submit the anonymized payload to your LLM API. The model processes the logic perfectly without seeing raw identities.
Reverse Scrub
Once the agent responds, swap the tokens back to their original values locally before displaying the output to users.
The Dilemma of Agentic Memory: Persistent Privacy Liabilities
Traditional LLM interactions are ephemeral: a user inputs a query, the model returns an answer, and the session terminates. However, the next paradigm of artificial intelligence relies on autonomous agents. Tools like LangChain, AutoGPT, CrewAI, and n8n pipelines operate in continuous execution loops, maintaining state through SQLite databases, local caches, and vector index databases.
If an agent processes raw CRM strings or customer helpdesk records containing names, emails, account IDs, or financial metrics, those values are cached in intermediate logs and RAG (Retrieval-Augmented Generation) indexes. Once written into multi-step agent histories, removing PII becomes a complex, high-cost database operation. PrivacyScrubber solves this by enforcing Zero-Trust Data Sanitization (ZTDS) directly at the boundary of agent ingestion.
The Zero-Trust Data Sanitization (ZTDS) Blueprint
PrivacyScrubber acts as an offline, local validation gateway. Instead of passing unredacted database queries or user logs to your automation pipeline, you route inputs through our client-side Javascript engine. All personal identifiers are mapped to deterministic tokens, such as [NAME_1] or [EMAIL_1].
Because this mapping is stored exclusively in transient browser RAM (scoped strictly to the active tab), no cloud database is used. The external AI model processes only the logical relationships and context of the prompt:
// Sanitized prompt sent to agentic pipeline:
"Summarize the request from [NAME_1] ([EMAIL_1]) regarding order number [ID_1] and draft a response."
When the model completes the task, the output is returned to the client browser, and the Reverse Scrub (Reveal) utility re-injects the original records locally. The third-party LLM performs the reasoning, but the customer's identity remains completely secure on the local network.
Securing Model Context Protocol (MCP) & IDE Agents
Developers adopting tools like Claude Desktop, Cursor, Bolt, or Claude Code often connect them directly to their local databases and file structures via the Model Context Protocol (MCP). While this unlocks powerful automation capabilities, it opens a direct exfiltration vector. A coding agent asked to "debug database queries" can retrieve real production tables containing usernames, active API keys, and corporate secrets and transmit them back to model servers.
By running PrivacyScrubber's local engine, developers can sanitize logs and queries pre-flight. Sensitive keys, path structures, and user accounts are masked locally, ensuring developers can leverage Cursor and Claude Desktop safely without violating corporate governance rules.
Regulatory Compliance & Enterprise Governance
Deploying commercial AI agents without sanitization exposes organizations to significant compliance risks:
- GDPR Article 25 (Privacy by Design): Requires organizations to implement data minimization controls. Masking PII before it enters external models ensures that raw identities are never processed, removing the AI provider from the 'Data Processor' chain and eliminating DPA liabilities.
- SOC 2 Type II CC6.7: Enforces strict transmission security controls. Edge-based, zero-server tokenization ensures that unmasked confidential customer records are never in transit to external networks.
- HIPAA Safe Harbor Alignment: Automatically removes the 18 specific identifiers required for healthcare text sanitization, allowing support teams to summarize clinical details safely.
Protocol: The 5-Step Airplane Mode Audit
Do not take our word for it. Trust the physical rules of network isolation. Run this step-by-step audit to confirm that no data is transmitted during your scrubbing workflows.
Initialize Platform: Open PrivacyScrubber.com in your web browser.
Sever Network Connection: Disable your WiFi connection or turn on Airplane Mode. The local engine remains fully operational.
Scrub Payload: Paste a text payload containing sensitive PII and click "Protect PII".
Audit Network Requests: Press F12, open the 'Network' tab, and verify that zero requests were made to external servers.
Verify Transient Memory: Close or refresh the tab. All session mappings are instantly cleared from local RAM.
