Privacy-Protected Agentic AI Architecture
Agents

Securing Cline and Roo Code: VS Code AI Agent Privacy Controls

Securing Cline and Roo Code: Learn how to configure the local PrivacyScrubber MCP server in Cline (formerly Claude Dev) and Roo Code to sanitize customer PII, secrets, and database tables locally inside VS Code. Includes Flat-rate TEAMS pricing and Zero-server architecture.

100% Local Processing ✈ Airplane Mode Verified⊘ No Server Logs

AI Summary / Key Takeaways

Verified Zero-Trust Logic

"PrivacyScrubber provides the essential de-identification layer for Agents professionals using generative AI. By sanitizing sensitive identifiers locally, we ensure absolute data sovereignty without sacrificing the power of LLM reasoning."

Paste real Agents data into ChatGPT — only scrubbed tokens reach the model. Names, IDs, and emails stay on your machine.
Works offline: disconnect the network mid-session and it keeps running. Zero cloud dependency.
Your AI gets full context. Your clients' real identities never leave your browser tab.

Enterprise-Grade AI Privacy

Add custom redaction rules and priority support with PRO.

GO PRO
In This Article
Live Simulation

Zero-Trust Data Sanitization

Watch PrivacyScrubber's local engine transform sensitive Agents data instantly in your browser, without any API calls.

Automated Detection Classes:
USER_IDAGENT_MEMORYRAG_CHUNKCONTEXT_PIISESSION_TOKEN
100% Client-Side Execution
Wasm_Engine
AGENT CONTEXT > user_id=user_8xKmN2 | session=sess_T7vZ1pQ RAG chunk: "Client Aisha Okonkwo (acct #00412) called re: invoice INV-2026-0332 for $4,500"
AGENT CONTEXT > user_id=[ID_1] | session=[ID_2] RAG chunk: "Client [NAME_1] (acct [ID_3]) called re: invoice [ID_4] for [VALUE_1]"
Click any token above to test False Positive reveal

AI Risk Calculator

50
Risk● Critical
Leaks/yr
9,000
Max Fine
€20M

Get Your Risk Estimate

Provide company details to generate your personalized Shadow AI risk estimate.

By integrating PrivacyScrubber into your agentic workflows, you can natively protect against data leaks. This is especially critical when managing RAG privacy protocols. Unlike standard cloud filters, our local CLI coding environments ensures 100% local processing, strictly adhering to SOC 2 agent audits without any network overhead.

What AI Engineers and Agent Builders Send to AI — and What They Should Be Sending Instead

Addressing Securing Cline and Roo Code is a core operational priority for engineering, product, and leadership teams. As organizations integrate LangChain, LlamaIndex, AutoGPT, CrewAI, and custom RAG infrastructure, the liability of unmanaged PII exfiltration to public LLM datasets represents a critical risk to agents standing. Our agents AI privacy guides provide the technical roadmap for maintaining the agents perimeter while adopting GenAI. The core vulnerability: autonomous agents that accumulate PII across memory, tool calls, and vector store indexes — creating persistent privacy liabilities impossible to manually audit.

Pasting proprietary records or querying generative AI models with unmasked customer records risks an unauthorized disclosure under standard NDA terms. Legacy API firewalls are not designed to inspect unstructured prompt text. For AI engineers, LLM application developers, and enterprise AI architects, preventing exfiltration requires local verification at the endpoint. Learn how to configure the local PrivacyScrubber MCP server in Cline (formerly Claude Dev) and Roo Code to sanitize customer PII, secrets, and database tables locally inside VS Code. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Privacy Insight: Cline and Roo Code connect VS Code directly to local files and system commands. Exposing workspace assets without filtering risks automated exfiltration. Enforcing local data masking at the extension layer satisfies SOC 2 requirements.

Why AI Safety and Security Teams Flag Unmasked AI Prompts

Compliance in the agents space is mandatory: GDPR data minimization principles, NIST AI RMF (Risk Management Framework), and emerging agentic AI governance guidance. Yet, technical safeguards often lag behind shadow AI usage. Managing this exposure relies on the principles in salesforce agentforce compliance to prevent corporate records from becoming training data. You must sanitize inputs before cloud transit. Securing the input stream directly in browser memory forms the baseline of compliance without exposing records to cloud-based systems.

Through Zero-Trust Data Sanitization, PrivacyScrubber secures prompt entry points locally via our Secure Workspace and the PrivacyScrubber Chrome Extension.

How to Use AI on Real Agents Data — Without Sending a Single Real Name

Through Zero-Trust Data Sanitization, PrivacyScrubber secures prompt entry points locally via our Secure Workspace and the PrivacyScrubber Chrome Extension. The system tokenizes customer and business identifiers (such as [ID_1]) before exfiltration, aligning with standard procedures for scaling agent architectures. The Chrome Extension inserts a secure shield button inside ChatGPT, Claude, and Gemini to automate prompt redaction and in-place restoration. By executing Named Entity Recognition entirely in local memory, PrivacyScrubber preserves the usefulness of LangChain, LlamaIndex, AutoGPT, CrewAI, and custom RAG infrastructure for production workflows without introducing external risk.

This zero-transmission architecture is independently auditable via our Airplane Mode Standard. By disconnecting your network and running a full scrub-and-restore cycle, you verify that no outbound packets are transmitted. This aligns with agentic data loss prevention for hardened agents security: local execution is the primary safeguard for AI data privacy.

Deploy Zero-Trust DLP for Developer Fleets

Protecting code logs or system stack traces from leaking to public models? With PrivacyScrubber TEAMS, security teams can distribute custom regex rules globally via Chrome MDM policies. Protect proprietary API keys, database URLs, and UUIDs across your entire developer fleet without centralizing user telemetry.

Upgrade to PRODeploy TEAMS

Zero-Trust Configuration & Threat Model

The technical safeguard for confidential AI prompts relies on intercepting sensitive strings before they cross the local network interface. By replacing actual values with deterministic placeholders (e.g., [NAME_1], [ID_2]), the utility ensures that external APIs only receive anonymized instruction logic. When integrating this system into daily workflows, the threat of unintended leakage is minimized to near zero, maintaining the integrity of all data channels.

Verification Protocol

  • Scan prompt text for explicit identifiers including names, emails, and credentials.
  • Execute client-side regex rules to sanitize variables before network handoff.
  • Verify that the tab-isolated session map remains volatile in local memory.
  • Run a network audit via Chrome DevTools to confirm zero external telemetry.

Parser Specifications

Encryption AlgorithmXChaCha20-Poly1305 (Argon2id)
Detection MethodContext-Aware Regex + NER (99.4% Accuracy)
Data Egress RuleZero-Server Egress (Airplane Mode Verifiable)
Classification StandardEnhanced Privacy Guard
Associated Threat LevelCritical (Compliance Breach)

Autonomous AI Agent Risk in VS Code

VS Code extensions like Cline (formerly Claude Dev) and Roo Code have shifted developer AI assistance from autocomplete to autonomous agency. These extensions read local codebases, construct and execute bash commands, and connect to local services to solve bugs.

However, when an autonomous agent searches your repository for context, it frequently opens log files, credentials, and API handler code. Without endpoint filtering, all read file contents — including database connection keys, customer metrics, and PII — are passed directly to OpenAI, Anthropic, or OpenRouter.

Similar to how Cursor AI Source Code Leaks occur during context aggregation, Cline and Roo Code expose raw workspace data. Inserting a local Model Context Protocol (MCP) server filters this data in memory before transmission.

Configuring the MCP Server in Cline

Cline manages its MCP servers via a global settings file. To add PrivacyScrubber, edit your local config:

Cline Configuration Paths

  • macOS:~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
  • Windows:%APPDATA%CodeUserglobalStoragesaoudrizwan.claude-devsettingscline_mcp_settings.json
{ "mcpServers": { "privacyscrubber": { "command": "node", "args": ["/absolute/path/to/@privacyscrubber/mcp-server/index.js"] } }
}

Configuring the MCP Server in Roo Code

Roo Code matches Cline's architecture but stores settings under its own extension path:

Roo Code Configuration Paths

  • macOS:~/Library/Application Support/Code/User/globalStorage/roocode.roo-cline/settings/cline_mcp_settings.json
  • Windows:%APPDATA%CodeUserglobalStorage oocode.roo-clinesettingscline_mcp_settings.json

Centralized Security for VS Code Fleets

While individual developers can secure their own workstations, enterprise environments require uniform compliance controls. If your team is preparing for a SOC 2 audit or managing data sovereignty under GDPR regulations, relying on developers to manually maintain local exclusions is a liability.

The PrivacyScrubber TEAMS plan addresses this with Shared Regex Governance. The security lead defines proprietary credential formats, log patterns, and sensitive database field structures once, distributing them cryptographically to all local Cline and Roo Code instances. This establishes a verifiable, local-only compliance boundary that never transmits telemetry to external servers.

Instant Simulation

Securing Cline and Roo Code Sanitizer

Watch our zero-trust engine neutralize sensitive identifiers 100% locally. No data ever leaves your device.

Local processing 0 Server logs
ZTDS_ENGINE_V1.5.0
PROMPT INPUT > System task: process candidate John Doe's records. Contact: john.doe@gmail.com | Phone: 555-0149 | SSN: 902-11-4482.
PROMPT INPUT > System task: process candidate [NAME_1]'s records. Contact: [EMAIL_1] | Phone: [PHONE_1] | SSN: [SSN_1].

Agents Detection Profile

Our zero-trust engine is pre-hardened for Agents workflows, automatically identifying and tokenizing the following parameters 100% locally.

USER_ID
Active Protection
AGENT_MEMORY
Active Protection
RAG_CHUNK
Active Protection
CONTEXT_PII
Active Protection
SESSION_TOKEN
Active Protection

Zero-Trust Architecture

PrivacyScrubber operates entirely on your device. Unlike other platforms, our local PII masking engine never transmits your sensitive prompts or documents to external servers. All detection and restoration happens in your computer's local RAM.

  • No Backend Connection: Zero API calls, zero tracking, zero logs.
  • Temporary Memory: Your data exists only for the duration of your tab's life.
  • Verification Ready: Built for professionals who need to audit their security layer with agentic data loss prevention.

Hardware-Level Verification

We encourage you to audit our zero-trust claims directly in your browser using the Airplane Mode Test:

1

Open your browser's Network Monitor before you start scrubbing.

2

Switch to Airplane Mode (physical or simulated) and protect your text.

3

Verify that no data packets ever leave your machine.

New Capability: Local Image OCR & Zero-Trust Sync

The PrivacyScrubber Chrome Extension now supports Local Image OCR. Paste screenshots directly into the extension popup to redact sensitive PII offline using an isolated WebAssembly worker. Combined with our new Zero-Trust Session Sync, enterprise teams can seamlessly share custom detection rules without ever transmitting data to cloud servers.

Claude (Anthropic) Integration

Step-by-Step Integration Guide: Securing Cline and Roo Code

PrivacyScrubber operates entirely client-side. Whether using the copy-paste dashboard, the browser extension, or the MCP Server, your sensitive records stay on your local device. Follow these instructions to safely use Claude (Anthropic):

1 Method A: Instant Clipboard & Web Workspace

Fastest for ad-hoc debugging, server crash logs, or DB dumps:

  1. Paste the raw database dump, stack trace, or config payload into PrivacyScrubber.
  2. Click Protect PII to locally tokenize all tokens, hostnames, and API secrets with 100% Local RAM Processing.
  3. Copy the sanitized code and safely query ChatGPT, Claude, or Copilot.
  4. Reveal responses locally using Reveal Originals with zero data egress.

2 Method B: Chrome Extension & MCP Server

For automated in-browser prompt masking & IDE agents (Cursor / Cline):

  1. Install the free PrivacyScrubber Extension to auto-mask credentials directly in ChatGPT/Claude inputs.
  2. Or connect the PrivacyScrubber MCP Server via Developer SDK to Cursor, Cline, or Claude Code.
  3. Session token maps remain 100% in volatile RAM with zero telemetry.
  4. Debug complex architectures without leaking production database URIs or AWS secrets.

Local Redaction & Risk Matrix for Agents

Detection EntityToken PlaceholderRisk LevelSecurity Action
USER_ID Details[USER_ID]Medium (PII Exposure)Deterministic local swap
AGENT_MEMORY Details[AGENT_MEMORY]Medium (PII Exposure)Deterministic local swap
RAG_CHUNK Details[RAG_CHUNK]Medium (PII Exposure)Deterministic local swap
CONTEXT_PII Details[CONTEXT_PII]Medium (PII Exposure)Deterministic local swap
SESSION_TOKEN Details[SESSION_TOKEN]Medium (PII Exposure)Deterministic local swap

3-Step Zero-Trust AI Workflow Template

Role: Lead DevSecOps Engineer / Cloud Security Architect · Target: Claude (Anthropic)
1. Sanitize Data First
1Sanitize in PrivacyScrubber
2Run Prompt in Claude (Anthropic)
31-Click Reveal via sessionMap
DevSecOps Root Cause Analysis (Production Stack Trace & Config Sanitization)PrivacyScrubber ZTDS Protocol
Act as a principal cloud systems architect. Analyze the following sanitized production stack trace and database configuration for [DB_NAME_1]:
1. Identify the root cause of the connection pool exhaustion and query timeouts.
2. Provide an optimized, non-blocking connection pool configuration for high concurrency.
3. Draft a step-by-step remediation patch. CRITICAL COMPLIANCE INSTRUCTION (PrivacyScrubber ZTDS Standard): Retain all cryptographic token identifiers ([DB_NAME_1], [INTERNAL_IP_1], [SECRET_1], [JWT_TOKEN_1]) strictly unchanged in your configuration suggestions for client-side local rehydration via PrivacyScrubber.
Step 3: 1-Click Reverse Rehydration (No Manual Decoding)When Claude (Anthropic) outputs tokens like [NAME_1], paste the AI response back into PrivacyScrubber Reveal to restore original sensitive data in 1 click in local RAM.
Auto-Reveal in Extension
The Manual Redaction Trap: Why DIY search-and-replace failsManual prompt editing misses 1 out of every 12 nested identifiers in logs, error traces, and tables, causing catastrophic compliance breaches. PrivacyScrubber deterministically sanitizes 25+ entity types in <2ms entirely in browser RAM before prompt submission.
Statutory Defense: SOC 2 Type II CC6.7 & OWASP Top 10 for LLM (LLM06: Sensitive Information Disclosure)API keys, Bearer JWTs, database connection URIs, and internal IP subnets are sanitized locally before entering the LLM context window, preventing vector-store credential leaks.

Agents Adoption Use Cases

Principal Cloud Security ArchitectSECRET PROTECTION
Zero-Trust Verified
Prevents accidental leaks of AWS keys, JWTs, database connection strings, and private GitHub tokens into public LLM training datasets.
VP of Infrastructure & DevOpsDEVOPS & SRE
Zero-Trust Verified
Sanitizes stack traces, internal IP ranges, and Kubernetes cluster configs in developer terminal clipboards prior to debugging with AI assistants.
Head of Application Security (AppSec)APP SECURITY
Zero-Trust Verified
Enforces automated local redaction of production API keys and customer payloads in developer browser extensions.
Lead Software ArchitectSYSTEM ARCHITECTURE
Zero-Trust Verified
Masks proprietary algorithm logic and confidential code comments before querying generative code assistants.

Scrub it before it reaches the AI — right from your toolbar

The free PrivacyScrubber Chrome Extension replaces names, emails, and IDs with safe tokens directly inside ChatGPT, Claude, and Gemini — before you hit send. Nothing leaves your browser.

Add the Free Extension for Agents

Zero-Trust Data Sanitization (ZTDS) — Verified Architecture

Independently auditable facts for Agents compliance teams

Data transmission
0 bytes sent to any server
Processing location
100% browser RAM (volatile memory)
Session map persistence
Destroyed on tab close — never written to disk
Key derivation
Argon2id (memory-hard, server-independent)
Encryption cipher
XChaCha20-Poly1305 (authenticated encryption)
Offline verification
Airplane Mode Standard — full function without network
BAA / DPA required
No — zero PHI/PII reaches PrivacyScrubber servers
Audit method
Chrome DevTools → Network tab — zero outbound requests

How to audit: Open PrivacyScrubber, enable Airplane Mode, paste any agents text, click Protect PII. Open Chrome DevTools → Network tab. Zero outbound requests will confirm 100% local execution. The session token map ([NAME_1], [EMAIL_1]…) lives only in browser tab memory and is permanently destroyed when the tab is closed.

COMPLIANCE FAQ

Frequently Asked Questions

Common questions about deploying zero-trust AI for Agents Teams.

What is Cline and Roo Code, and why do they pose a privacy risk?
Cline (formerly Claude Dev) and Roo Code are autonomous AI agent extensions for VS Code. They can read your workspace files, run terminal commands, and inspect databases. If they access sensitive logs, customer database records, or environment files, that raw data is transmitted to cloud LLM providers. PrivacyScrubber intercepts and masks this data locally first.
How do I configure the PrivacyScrubber MCP server in Cline?
Cline stores its MCP settings in `~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json` (macOS) or `%APPDATA%/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json` (Windows). Adding the PrivacyScrubber block to this JSON file activates local sanitization.
How do I configure the PrivacyScrubber MCP server in Roo Code?
Roo Code uses a similar configuration file located in its specific extension globalStorage directory: `~/Library/Application Support/Code/User/globalStorage/roocode.roo-cline/settings/cline_mcp_settings.json`. Add the PrivacyScrubber command block there to enforce tokenization.
Does this require team seats or can it be managed centrally?
Individual developers can run it locally on the Free or PRO tier. For security teams, the TEAMS plan allows central distribution of custom masking rules via a single cryptographic link, ensuring all developers run identical sanitization profiles in VS Code.
Does protecting data with PrivacyScrubber before AI processing satisfy GDPR data minimization principles?
Yes. Processing pseudonymized data for a secondary purpose (AI analysis or drafting) aligns with GDPR data minimization principles because no personally identifiable data is transmitted to the AI provider. The session map that maps tokens back to real values never leaves your browser.
What specific PII does PrivacyScrubber detect for agents workflows?
The engine detects names, email addresses, phone numbers (US and international formats), Social Security Numbers, EINs, credit card numbers, and custom identifiers. PRO users can add custom regex rules to match agents-specific patterns such as proprietary account IDs, MRNs, or internal project codes.
Can I reverse the redaction if I use PrivacyScrubber to mask agents data?
Yes. If you copy the AI's response and paste it back into PrivacyScrubber, it automatically maps the tokens (like [NAME_1] or [ID_1]) back to the original values using the ephemeral session map stored in your browser's memory.
Can PrivacyScrubber be used 100% offline without network requests?
Yes. All processing runs in your browser's local JavaScript engine, with no external server calls. Once the page loads, you can enable Airplane Mode and verify in Chrome DevTools (Network tab) that zero outbound requests occur. All cryptographic operations (including client-side pseudonymization and reverse-revealing) utilize hardware-accelerated XChaCha20-Poly1305 encryption and Argon2id key derivation running entirely inside browser RAM, ensuring your agents data stays 100% on your device.
How can I verify that PrivacyScrubber sends zero data to servers?
Use the 5-step Airplane Mode audit: (1) Open PrivacyScrubber in your browser. (2) Disconnect your network connection (enable Airplane Mode). (3) Paste a text sample containing names, emails, and phone numbers. (4) Click "Protect PII" — all tokens are generated instantly in local browser RAM. (5) Open Chrome DevTools → Network tab and confirm zero outbound requests were made. This test works because PrivacyScrubber uses a Wasm-based regex engine that runs 100% client-side. The session token map (e.g. [NAME_1] → "John Doe") exists only in browser tab memory and is destroyed when the tab is closed.
Do I need a HIPAA Business Associate Agreement (BAA) or GDPR Data Processing Agreement (DPA) with PrivacyScrubber?
No. PrivacyScrubber is designed to run entirely on the client side, meaning no Protected Health Information (PHI) or personally identifiable data is ever transmitted to our infrastructure. Since your data is not processed or stored on our servers, PrivacyScrubber is not acting as a HIPAA Business Associate or a GDPR Data Processor. Consequently, organizations typically determine that standard Business Associate Agreements (BAAs) or Data Processing Agreements (DPAs) are not applicable to PrivacyScrubber. However, you should consult with your compliance officer or legal counsel to verify compliance requirements for your specific workflows.
Can I customize detection rules for industry-specific data formats?
Yes. In the PRO edition of PrivacyScrubber, you can configure custom regular expression (regex) rules designed to target unique patterns associated with your sector and internal taxonomy. This allows you to extend the standard Named Entity Recognition (NER) model to cover proprietary account formats, internal project identifiers, or custom data attributes while keeping all execution client-side.
Is pasting sensitive data into ChatGPT safe?
Pasting sensitive data directly into ChatGPT can expose it to OpenAI's servers and model training unless you use zero-trust client-side scrubbing like PrivacyScrubber, which tokenizes data before it leaves your browser. Protect your workflows for $15/mo with PRO.
How does client-side PII redaction work?
Client-side PII redaction executes directly in your browser's RAM, intercepting and masking sensitive identifiers before they are transmitted over the internet, ensuring true zero-trust security.
How does the Secure Workspace differ from the Browser Extension?
The Secure Workspace allows bulk offline file processing (PDFs, DOCX) and team handoffs, while the Browser Extension injects native masking directly into ChatGPT or Claude's UI. Both are included in our zero-trust ecosystem.
What is the PII MCP Server used for?
The local Model Context Protocol (MCP) Server allows developers to automate PII sanitization in CI/CD pipelines, agentic workflows, and IDEs like Cursor—all executing 100% locally.
What AI Engineers and Agent Builders Send to AI — and What They Should Be Sending Instead
Why AI Safety and Security Teams Flag Unmasked AI Prompts
Compliance in the agents space is mandatory: GDPR data minimization principles, NIST AI RMF (Risk Management Framework), and emerging agentic AI governance guidance. Yet, technical safeguards often lag behind shadow AI usage. Managing this exposure relies on the principles in salesforce agentforce compliance to prevent corporate records from becoming training data. You must sanitize inputs before cloud transit. Securing the input stream directly in browser memory forms the baseline of compliance without exposing records to cloud-based systems.
How to Use AI on Real Agents Data — Without Sending a Single Real Name
Through Zero-Trust Data Sanitization, PrivacyScrubber secures prompt entry points locally via our Secure Workspace and the PrivacyScrubber Chrome Extension. The system tokenizes customer and business identifiers (such as [ID_1]) before exfiltration, aligning with standard procedures for scaling agent architectures. The Chrome Extension inserts a secure shield button inside ChatGPT, Claude, and Gemini to automate prompt redaction and in-place restoration. By executing Named Entity Recognition entirely in local memory, PrivacyScrubber preserves the usefulness of LangChain, LlamaIndex, AutoGPT, CrewAI, and custom RAG infrastructure for production workflows without introducing external risk.
Is PrivacyScrubber safe for Cline MCP security, Roo Code data privacy, VS Code AI agent PII mask, secure Claude Dev extension?
Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with Cline MCP security, Roo Code data privacy, VS Code AI agent PII mask, secure Claude Dev extension, no sensitive data ever leaves your device or touches a cloud server.
How does it handle custom data structures for agents?
Our engine includes 22+ built-in industry profiles optimized for agents data. Furthermore, our Flat-rate TEAMS tier allows you to define unlimited custom Regular Expressions that process data securely in offline memory.
Agents Hub

More Agents Privacy Guides

Salesforce Agentforce Compliance
01
agents

Salesforce Agentforce Compliance

Enterprise CISOs are concerned about Salesforce Agentforce extracting CRM data. Learn how a Zero-Trust middleware protects PII before it reaches autonomous agents. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Aider AI Privacy & MCP
02
agents

Aider AI Privacy & MCP

Learn how to configure the local PrivacyScrubber MCP server with Aider to sanitize customer PII, secrets, and credentials before terminal agent tasks are executed. Includes Flat-rate TEAMS pricing and Zero-server architecture.

LangChain & LlamaIndex PII Redaction Middleware for TypeScript & Node.js
03
agents

LangChain & LlamaIndex PII Redaction Middleware for TypeScript & Node.js

Implement zero-trust PII redaction middleware for LangChain and LlamaIndex agents. Preserve multi-turn state and token consistency across reasoning loops in TypeScript. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Sanitizing PII in LLM Observability Traces
04
agents

Sanitizing PII in LLM Observability Traces

Prevent secondary data breaches by automatically redacting PII, secrets, and database credentials from LLM observability traces, LangSmith dashboards, and Langfuse logs. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Claude Desktop Local PII Sanitization
05
agents

Claude Desktop Local PII Sanitization

Secure your Claude Desktop workflows. Intercept and sanitize sensitive prompts locally before they reach Anthropic servers, ensuring zero-trust compliance. Includes Flat-rate TEAMS pricing and Zero-server architecture.

Zero-Trust Data Sanitization for Model Context Protocol (MCP) Workflows
06
agents

Zero-Trust Data Sanitization for Model Context Protocol (MCP) Workflows

Secure Claude Desktop, Cursor, and custom AI agents using Model Context Protocol (MCP). Sanitize sensitive file paths, logs, and database queries locally before model transmission. Includes Flat-rate TEAMS pricing and Zero-server architecture.

View all 20 Agents guides

Related Privacy & Compliance Guides

NIST AI RMFIP Law AI SafetyLocal vs Server-Side AI Data Protection
← More Agents Solutions