Dev

AWS & JWT Secrets Sanitizer for Backend Logs: Stop Cloud Credential Leaks

AWS & JWT Secrets Sanitizer for Backend Logs: Automatically intercept and sanitize AWS access keys, JWT bearer tokens, and database passwords from Node.js server logs and AI prompts. Sub-millisecond execution (<0.8ms) with zero cloud egress.

Developer Secrets and PII Protection for Code Analysis

AI Summary / Key Takeaways

Verified Zero-Trust Logic

"PrivacyScrubber provides the essential de-identification layer for Dev professionals using generative AI. Executing 100% in local browser volatile memory with <2ms latency and 0 bytes transmitted to external servers, deterministic tokenization replaces sensitive identifiers locally while preserving full semantic context for LLMs."

Paste real Dev 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.

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In This Article
Zero-Trust Data Protection: Sanitize API payloads and application logs from production secrets before feeding them into debugging LLMs. PrivacyScrubber ensures you can use GenAI safely by neutralizing risks 100% offline in your browser.

What Software Developers Send to AI — and What They Should Be Sending Instead

Protecting workflows for AWS & JWT Secrets Sanitizer for Backend Logs is a major technical objective for modern organizations. Utilizing platforms like GitHub Copilot, ChatGPT, Cursor AI, and AI-assisted debugging tools without input filtering creates immediate liabilities regarding proprietary records. Our dev AI privacy guides outlines critical defense strategies to secure the dev boundary, resolving leaking API keys, database credentials, user PII from logs, and internal system architecture to AI code assistants that may log prompts before any external API receives the prompt.

When employees submit customer records into cloud-based LLMs without endpoint-level redaction, they create unmonitored data trails. Standard cloud settings do not protect these inputs from model training queues or third-party review. For software engineers, DevOps teams, and security engineers, the primary point of failure is sending raw prompt text. Automatically intercept and sanitize AWS access keys, JWT bearer tokens, and database passwords from Node.js server logs and AI prompts. Sub-millisecond execution (<0.8ms) with zero cloud egress.

Privacy Insight: Developers pasting server logs into AI debugging tools routinely leak high-entropy secrets: AWS root credentials (AKIA...), GitHub tokens, database connection URIs, and JWT session tokens. Once sent to an external LLM, credentials are logged in third-party databases. @privacyscrubber/sdk includes specialized regex lookaround automata that detect and strip secrets in local RAM in <0.8ms.

Why DevSecOps Teams Flag Unmasked AI Prompts

Regulatory oversight for the dev sector is explicit: OWASP guidelines on secrets management, SOC 2 Type II trust service criteria, and GDPR Article 25 (data protection by design). However, technical compliance lags behind AI adoption curves. Navigating the data exposure surface often overlaps with gdpr article 25 data minimization in rag — identifying how unstructured data becomes a permanent liability in model weights. To achieve verifiable security, you must eliminate the PII before it reaches the cloud. Securing the input stream directly in browser memory forms the baseline of compliance without exposing records to cloud-based systems.

PrivacyScrubber delivers client-side protection through local Zero-Trust Data Sanitization (ZTDS), operating as a manual copy-paste board and via the PrivacyScrubber Chrome Extension.

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

PrivacyScrubber delivers client-side protection through local Zero-Trust Data Sanitization (ZTDS), operating as a manual copy-paste board and via the PrivacyScrubber Chrome Extension. The in-browser processor automatically maps and replaces identifying information with secure, non-associative tokens (like [NAME_1]) before cloud dispatch. This satisfies the requirements of secure license distribution, allowing teams to utilize cloud engines without sending raw patient, customer, or employee identities. The Chrome Extension embeds a protection shield inside ChatGPT, Claude, and Gemini to automate the swap-and-restore loop directly within the active text box. By executing deterministic AST lookaround parsing entirely in local memory, PrivacyScrubber preserves the usefulness of GitHub Copilot, ChatGPT, Cursor AI, and AI-assisted debugging tools for production workflows without introducing external risk.

This client-side execution model is verifiable via the Airplane Mode Standard. Turn off your network interface, run a sanitization cycle, and confirm that all processing is completed locally. This aligns with PII MCP Server integration, proving that no database or server logs receive unmasked data.

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

When users perform data analysis with AI assistants, unstructured prompts can easily leak confidential information to external servers. PrivacyScrubber resolves this exposure vector by running a client-side masking filter in active RAM. The local classification system dynamically converts identifying entities into non-associative tokens, preventing downstream model ingestion. This ensures that any subsequent data audits and compliance reviews remain clean and fully verifiable.

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 Deterministic AST Lookaround (99.3% Accuracy)
Data Egress RuleZero-Server Egress (Airplane Mode Verifiable)
Classification StandardHigh Privacy Guard
Associated Threat LevelHigh (Identity Exposure)
Quick Answer • Secrets Sanitization

To redact AWS credentials, JWT tokens, and connection strings from AI prompts and logs, call scrubText() with detectSecrets: true.

Execution takes <0.8ms in local V8 heap memory with zero third-party network egress.

Complete Implementation: Real-Time Secrets Sanitizer

npm install @privacyscrubber/sdk
secrets-sanitizer.tsHigh-Entropy Secrets
import { scrubText } from '@privacyscrubber/sdk';

const crashLog = `
FATAL [2026-09-29T08:00:00Z]: Authentication failure
URI: postgres://admin:SuperSecretPass123@db.prod.internal:5432/app
Header: Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIn0.doNotLeakThisSignature
AWS_ACCESS_KEY_ID: AKIAIOSFODNN7EXAMPLE
AWS_SECRET_ACCESS_KEY: wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY
`;

// 1. Sanitize in local RAM before pasting to AI (<0.8ms)
const { sanitizedText } = scrubText(crashLog, {
  profile: 'DevOps',
  detectSecrets: true
});

console.log('Sanitized Crash Log Safe for LLM Debugging:');
console.log(sanitizedText);
// Database URI, JWT token, and AWS keys are replaced with [DB_URI_1], [JWT_1], [AWS_KEY_1]!

Compliance Verification

Preventing secret exposure satisfies SOC 2 Type II Common Criteria CC6.1 and OWASP Top 10 for LLMs. Explore our Pino & Winston Logger Guide.

Instant Simulation

AWS & JWT Secrets Sanitizer for Backend Logs 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 > Review application access logs for user Richard Branson (richard@branson.co.uk), phone number: 555-0111.
PROMPT INPUT > Review application access logs for user [NAME_1] ([EMAIL_1]), phone number: [PHONE_1].

Dev Detection Profile

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

API_KEY
Active Protection
JWT_TOKEN
Active Protection
AWS_SECRET
Active Protection
DATABASE_URL
Active Protection
IP_ADDRESS
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 PII MCP Server integration.

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.

ChatGPT (OpenAI) Integration

Step-by-Step Integration Guide: AWS & JWT Secrets Sanitizer for Backend Logs

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 ChatGPT (OpenAI):

1 Method A: Zero-Trust Web Workspace (Copy-Paste)

Best for manual prompt sanitization without installing plugins:

  1. Open the PrivacyScrubber Web App dashboard in your browser.
  2. Paste the raw prompt or text containing sensitive details of AWS & JWT Secrets Sanitizer for Backend Logs.
  3. Click Sanitize Prompt: sensitive data is swapped for secure placeholders (e.g., [NAME_1]).
  4. Submit the sanitized prompt to ChatGPT (OpenAI).
  5. Paste the AI's answer into Reveal Originals to instantly restore the original values.

2 Method B: Chrome Extension (In-Context Redaction)

For automated, inline de-identification within chat interfaces:

  1. Install the free PrivacyScrubber Chrome Extension from the Web Store.
  2. Navigate to your AI chat interface. A PrivacyScrubber shield button will appear inline.
  3. Paste your raw prompt. Click the shield button to sanitize all identifiers instantly in-place.
  4. Send the prompt to the AI chatbot.
  5. The extension automatically intercepts and detokenizes the response, displaying raw values to you.

Local Redaction & Risk Matrix for Dev

Detection EntityToken PlaceholderRisk LevelSecurity Action
API Access Keys / Tokens[API_KEY]Critical (Cloud account takeover)Pattern matching mask
JWT Authorization Tokens[JWT_TOKEN]Critical (Session hijacking)Bearer header scrubbing
AWS Access / Secret Keys[AWS_SECRET]Critical (Infrastructure compromise)Offline credential swap
Database Connection URIs[DATABASE_URL]Critical (Data store breach)Credentials & path strip
User / Server IP Addresses[IP_ADDRESS]High (DLP / Location footprinting)IPv4 / IPv6 format strip

3-Step Zero-Trust AI Workflow Template

Role: Database Administrator / API Security Lead · Target: ChatGPT (OpenAI)
1. Sanitize Data First
1Sanitize in PrivacyScrubber
2Run Prompt in ChatGPT (OpenAI)
31-Click Reveal via sessionMap
Syntax-Preserving JSON & SQL Sanitization (Zero Schema Drift)PrivacyScrubber ZTDS Protocol
Act as a senior database administrator. Analyze the following sanitized JSON payload and SQL schema export for [DB_RECORD_1]:
1. Review the data structure for query optimization and indexing efficiency.
2. Generate refactored SQL queries with optimized JOIN operations.
3. Ensure output adheres strictly to standard schema syntax.

CRITICAL COMPLIANCE INSTRUCTION (PrivacyScrubber ZTDS Standard): Preserve all cryptographic token placeholders ([DB_RECORD_1], [API_KEY_1], [IP_ADDRESS_1]) exactly as formatted for client-side local rehydration via PrivacyScrubber.
Step 3: 1-Click Reverse Rehydration (No Manual Decoding)When ChatGPT (OpenAI) 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: ISO/IEC 27001:2022 Control A.8.11 (Data Masking) & GDPR Art. 32Payload formatting, JSON keys, SQL tables, and database constraints remain syntactically identical while all record-level PII is converted to deterministic tokens.

Dev 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.
In-Process Consumer Privacy Fiduciary & RAG Engine

Active Consumer Privacy Fiduciary & Pre-Emptive Interception at the Application Boundary

Protect consumer rights by acting on their behalf before personal data ever leaves your application process. The Developer SDK (@privacyscrubber/sdk) executes 100% in-process in local RAM (<1ms), pre-emptively intercepting customer PII and credentials before transmission or vector indexing—with zero data loss via reversible deterministic tokens and zero third-party subprocessors.

bash — quickstart
v2.2.4 • In-Memory 0.033ms • 0 Egress
$npm install @privacyscrubber/sdk
Try live in terminal: npx @privacyscrubber/sdk demo IDE MCP: npx @privacyscrubber/mcp-server (Cursor & Claude)Zero external network calls
Swipe to compare licenses 1 of 2 · Community
Community / Freenpm package
  • Core Consumer PII Detection

    Names, Emails, Phones, IPs, SSN & Addresses in local RAM.

  • In-Memory Test Harness

    Local evaluation, CLI testing, and terminal playground.

  • Permanent Free Quota

    Standard 15,000 character session buffer with zero account sign-up.

For individual evaluation and local development testing.
Commercial
Developer SDK License
  • Active Consumer Fiduciary

    Pre-emptively intercepts PII at the boundary before vector storage or LLM egress.

  • Zero Data Loss Tokenization

    Reversible deterministic tokens preserve 100% LLM reasoning fidelity.

  • Unlimited Internal Backend Nodes

    Microservices, Lambdas, ETL pipelines & RAG vector lakes.

  • All 30 Specialized Industry Profiles

    HIPAA, Financial, Legal & DevOps secrets in sub-millisecond RAM speed.

  • Zero Subprocessor Liability

    Runs 100% in-process with 0 bytes transmitted to any 3rd party.

$299 / mo flator $2,990 / yr (Save $598)
View SDK Documentation →
100% In-Memory (<1ms) Zero Outbound Egress Zero Accounts • Instant Key 14-Day Money-Back Guarantee

Zero-Trust Data Sanitization (ZTDS) — Verified Architecture

Independently auditable facts for Dev 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 dev text, click Sanitize Prompt. 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.

Peer-Reviewed Foundations & Academic Authority
ORCID: 0009-0002-0642-5985•Wikidata: Q141546647

The mathematical proofs, RAM memory bounds (<2ms latency), and statutory compliance guarantees of the Zero-Trust Data Sanitization architecture are documented in official Internet standards tracks and peer-reviewed scientific repositories:

IETF
IETF Specification: ZTDS Protocol
Internet Standards Track · Frontier Artificial Intelligence Ingestion
DOI
CERN / Zenodo 10.5281/zenodo.22058770
ZTDS Mathematical Proof & Client-Side Specification
DOI
OSF Preprints 10.17605/OSF.IO/5BYJF
Empirical Latency & In-Browser RAM Profiling Study
LAW
Law Archive Preprint 4wc86
Preserving Attorney-Client Privilege in LLMs
SSRN
SSRN / Elsevier ID 7335581
EU AI Act, UK GDPR & Statutory AI Privacy
Peer Distribution

Share this compliance blueprint with your team

Help your DPO, InfoSec, and engineering peers eliminate compliance bottlenecks with zero-server client-side data masking.

COMPLIANCE FAQ

Frequently Asked Questions

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

What types of developer secrets does PrivacyScrubber detect?
With detectSecrets: true, the engine strips AWS Access Key IDs (AKIA...), AWS Secret Access Keys, GitHub PATs (ghp_...), JWT Bearer tokens, private SSH keys (RSA/ED25519), and MongoDB/PostgreSQL database connection strings.
How fast is secret scanning in PrivacyScrubber compared to TruffleHog or GitGuardian?
TruffleHog and GitGuardian are designed for static file and Git history scanning. PrivacyScrubber is optimized for in-memory, real-time stream execution, scanning a 10KB log string in under 0.8 milliseconds with zero I/O latency.
Does secret masking preserve developer log structure for AI debugging?
Yes. Secrets are replaced with structured tokens like [AWS_KEY_1] and [JWT_1], allowing LLMs to understand the error context and debug authentication failures without ever seeing authentic credentials.
Can I add proprietary internal API token patterns?
Yes. With the Developer SDK ($299/mo), developers can define custom regex rules for proprietary internal API formats and UUID patterns.
Does protecting data with PrivacyScrubber before AI processing satisfy OWASP guidelines on secrets management?
Yes. Processing pseudonymized data for a secondary purpose (AI analysis or drafting) aligns with OWASP guidelines on secrets management 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 dev 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 dev-specific patterns such as proprietary account IDs, MRNs, or internal project codes.
Can I reverse the redaction if I use PrivacyScrubber to mask dev 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 dev 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 "Scrub in RAM" — 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 deterministic AST lookaround engine 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.
Why DevSecOps Teams Flag Unmasked AI Prompts
Regulatory oversight for the dev sector is explicit: OWASP guidelines on secrets management, SOC 2 Type II trust service criteria, and GDPR Article 25 (data protection by design). However, technical compliance lags behind AI adoption curves. Navigating the data exposure surface often overlaps with gdpr article 25 data minimization in rag — identifying how unstructured data becomes a permanent liability in model weights. To achieve verifiable security, you must eliminate the PII before it reaches the cloud. 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 Dev Data — Without Sending a Single Real Name
PrivacyScrubber delivers client-side protection through local Zero-Trust Data Sanitization (ZTDS), operating as a manual copy-paste board and via the PrivacyScrubber Chrome Extension. The in-browser processor automatically maps and replaces identifying information with secure, non-associative tokens (like [NAME_1]) before cloud dispatch. This satisfies the requirements of secure license distribution, allowing teams to utilize cloud engines without sending raw patient, customer, or employee identities. The Chrome Extension embeds a protection shield inside ChatGPT, Claude, and Gemini to automate the swap-and-restore loop directly within the active text box. By executing deterministic AST lookaround parsing entirely in local memory, PrivacyScrubber preserves the usefulness of GitHub Copilot, ChatGPT, Cursor AI, and AI-assisted debugging tools for production workflows without introducing external risk.
Is PrivacyScrubber safe for aws jwt secrets sanitizer backend logs, strip aws keys chatgpt, redact jwt bearer token nodejs, prevent secret leak ai prompt, secret scanner in memory nodejs?
Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with aws jwt secrets sanitizer backend logs, strip aws keys chatgpt, redact jwt bearer token nodejs, prevent secret leak ai prompt, secret scanner in memory nodejs, no sensitive data ever leaves your device or touches a cloud server.
How does it handle custom data structures for dev?
Our engine includes 30 specialized industry profiles optimized for dev data. Furthermore, our Flat-rate TEAMS tier ($99/mo flat) allows you to define unlimited custom Regular Expressions that process data securely in offline memory.
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