Colorado AI Act (SB 205) & CPA: Navigate the Colorado AI Act (SB 205) and Colorado Privacy Act (CPA). Prevent algorithmic discrimination and manage high-risk AI system obligations with local data sanitization.
Ilya SibiryakovPrivacy Architect••3 min read
100% Local Airplane Mode
AI Summary / Key Takeaways
Verified Zero-Trust Logic
"PrivacyScrubber provides the essential de-identification layer for Compliance 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 Compliance 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.
Colorado is the first state in the nation to enact comprehensive legislation (SB 205) regulating algorithmic discrimination in high-risk AI systems (employment, lending, healthcare, housing, and government services). Deployers of high-risk AI systems must exercise a duty of reasonable care, implement risk management programs, and complete annual impact assessments. Sanitizing sensitive demographic indicators and protected class identifiers locally prevents discriminatory training feedback loops and regulatory liability.
Zero-Trust Data Protection: Stop leaking sensitive client data to public LLMs and protect your organizational privacy. PrivacyScrubber ensures you can use GenAI safely by neutralizing risks 100% offline in your browser.
What Compliance Officers Send to AI — and What They Should Be Sending Instead
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To establish verifiable privacy for Colorado AI Act (SB 205) & CPA in GenAI workflows, companies must address the risk of data exfiltration. Using tools like PrivacyScrubber, local DLP rules, and compliance auditing tools without local redaction leaves compliance frameworks highly vulnerable. Our compliance AI privacy guides details how to build a resilient compliance security model that neutralizes failing to demonstrate technical controls for data masking while using external LLM providers before any cloud API is called.
When staff upload regulated compliance records or paste sensitive datasets into remote LLMs, each prompt poses a serious regulatory risk. Legacy API firewalls cannot meet the strict, granular auditing demanded by compliance standards. For compliance officers, DPOs, GRC managers, and legal counsel, the primary point of failure is sending raw prompt text to the cloud. Navigate the Colorado AI Act (SB 205) and Colorado Privacy Act (CPA). Prevent algorithmic discrimination and manage high-risk AI system obligations with local data sanitization.
Privacy Insight: Colorado is the first state in the nation to enact comprehensive legislation (SB 205) regulating algorithmic discrimination in high-risk AI systems (employment, lending, healthcare, housing, and government services). Deployers of high-risk AI systems must exercise a duty of reasonable care, implement risk management programs, and complete annual impact assessments. Sanitizing sensitive demographic indicators and protected class identifiers locally prevents discriminatory training feedback loops and regulatory liability.
Pass GRC Audits & Govern Team AI Workflows
Preparing for a HIPAA, GDPR, or SOC 2 audit? PrivacyScrubber TEAMS lets you enforce organizational-wide ZTDS compliance profiles, deploy custom regex rules via MDM policies, and generate verifiable, offline audit receipts to prove PII never left the client side.
Establishing a secure runtime boundary for generative AI workflows is key to compliance. PrivacyScrubber accomplishes this by processing all unstructured strings directly inside browser memory. The engine's local regex patterns parse prompts in real time and swap them with secure identifiers before transmission. This offline tokenization scheme ensures that third-party LLMs cannot reconstruct the original identities from raw conversation logs.
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.
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 > Analyze the email from Bob Smith (bob.smith@corp.com, tel 555-0123) regarding project timeline.
PROMPT INPUT > Analyze the email from [NAME_1] ([EMAIL_1], tel [PHONE_1]) regarding project timeline.
Compliance Detection Profile
Our zero-trust engine is pre-hardened for Compliance workflows, automatically identifying and tokenizing the following parameters 100% locally.
CUSTOMER_PII
Active Protection
AUDIT_LOG_ID
Active Protection
EMPLOYEE_NAME
Active Protection
REGULATION_REF
Active Protection
DPO_NAME
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 global compliance frameworks.
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.
Why GRC and Compliance Officers Flag Unmasked AI Prompts
The regulatory mandates governing compliance are uncompromising: SOC 2 Type II, ISO 27001, HIPAA PHI de-identification standards, and the EU AI Act 2026. Unfortunately, security tooling rarely matches the speed of shadow AI usage. Mitigating this risk requires adopting the guidelines in washington my health my data act to ensure sensitive information does not end up inside third-party models. The only reliable approach is stripping identifying details at the browser level. Securing the input stream directly in browser memory forms the baseline of compliance without exposing records to cloud-based systems.
With local Zero-Trust Data Sanitization, PrivacyScrubber intercepts data in the browser through our Secure Workspace or the PrivacyScrubber Chrome Extension.
How to Use AI on Real Compliance and Regulatory Data — Without Sending a Single Real Name
With local Zero-Trust Data Sanitization, PrivacyScrubber intercepts data in the browser through our Secure Workspace or the PrivacyScrubber Chrome Extension. The deterministic AST lookaround tokenization system replaces personal data markers with standardized tokens (such as [NAME_1]) in local memory. This design conforms with the standards in offline compliance audits, ensuring that cloud platforms only analyze sanitized text. The Chrome Extension automates this workflow by adding a quick protect toggle inside ChatGPT, Claude, and Gemini for instant inline sanitization and detokenization. By executing deterministic AST lookaround parsing entirely in local memory, PrivacyScrubber preserves the usefulness of PrivacyScrubber, local DLP rules, and compliance auditing tools for production workflows without introducing external risk.
We back this zero-egress architecture with the Airplane Mode Standard. Users can disconnect from the internet and run the scrubbing routine locally to verify that no network requests are dispatched. This meets the criteria for global compliance frameworks, proving that local-first execution is the ultimate shield for enterprise data.
ChatGPT & Enterprise LLMs Integration
Step-by-Step Integration Guide: Colorado AI Act (SB 205) & CPA
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 & Enterprise LLMs:
Act as an appellate litigation consultant. Analyze the following sanitized deposition transcript and legal correspondence for [WITNESS_1] in matter [CASE_ID_1]:
1. Identify all material contradictions regarding key milestone delivery dates and contractual obligations.
2. Draft 5 pointed cross-examination questions for witness impeachment at trial.
3. Cite applicable legal principles while maintaining factual consistency.
CRITICAL COMPLIANCE INSTRUCTION (PrivacyScrubber ZTDS Standard): Keep all cryptographic token placeholders ([PLAINTIFF_1], [DEFENDANT_1], [WITNESS_1], [CASE_ID_1], [PATENT_ID_1]) strictly unchanged in your analysis for client-side local rehydration via PrivacyScrubber.
Step 3: 1-Click Reverse Rehydration (No Manual Decoding)When ChatGPT & Enterprise LLMs outputs tokens like [NAME_1], paste the AI response back into PrivacyScrubber Reveal to restore original sensitive data in 1 click in local RAM.
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: ABA Model Rule 1.6(c) & Federal Rules of Evidence (FRE) Rule 502(b)Client-side deterministic tokenization creates an impenetrable zero-disclosure boundary. Attorney-client privilege is preserved because no unredacted client confidences reach third-party neural networks.
Compliance Adoption Use Cases
CISO Security TeamDLP GOVERNANCE
Zero-Trust Verified
Security teams deploy client-side sanitization to keep outbound AI prompts free of sensitive organizational data, avoiding complex multi-party DPA negotiations.
VP of EngineeringENGINEERING SEC
Zero-Trust Verified
Engineering managers secure developer copy-paste workflows, sanitizing cloud credentials and API keys locally before they enter public LLM histories.
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.
Your Whole Team on Real Client Data. Safely. $99/mo Flat.
No per-seat pricing. No DPA negotiation. No IT portal. Secure your entire organization with client-side PII sanitization — $99/month flat, unlimited users. SOC 2 & HIPAA ready. Works in Airplane Mode.
Zero-Trust Data Sanitization (ZTDS) — Verified Architecture
Independently auditable facts for Compliance 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 compliance 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.
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:
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 Compliance Teams.
What is considered a high-risk AI system under the Colorado AI Act (SB 205)?
Under SB 205, a high-risk AI system is any artificial intelligence system that makes or is a substantial factor in making a consequential decision regarding education enrollment, employment, financial or lending services, healthcare services, housing, insurance, or legal services.
What affirmative duties do deployers of AI systems have in Colorado?
Deployers must: (1) implement a risk management policy and program, (2) conduct an annual impact assessment for high-risk systems, (3) notify consumers if AI is used to make consequential decisions, and (4) report discovered algorithmic discrimination to the Colorado Attorney General within 90 days.
How does PrivacyScrubber prevent algorithmic discrimination in AI models?
By stripping protected attributes (race, age, gender, exact location, religious affiliations) from prompts locally before submission, PrivacyScrubber ensures AI decision-support models evaluate candidates or applicants solely on merits, directly satisfying Colorado duty-of-care requirements.
Does protecting data with PrivacyScrubber before AI processing satisfy SOC 2 Type II?
Yes. Processing pseudonymized data for a secondary purpose (AI analysis or drafting) aligns with SOC 2 Type II 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 compliance 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 compliance-specific patterns such as proprietary account IDs, MRNs, or internal project codes.
Can I reverse the redaction if I use PrivacyScrubber to mask compliance 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 compliance 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 GRC and Compliance Officers Flag Unmasked AI Prompts
The regulatory mandates governing compliance are uncompromising: SOC 2 Type II, ISO 27001, HIPAA PHI de-identification standards, and the EU AI Act 2026. Unfortunately, security tooling rarely matches the speed of shadow AI usage. Mitigating this risk requires adopting the guidelines in washington my health my data act to ensure sensitive information does not end up inside third-party models. The only reliable approach is stripping identifying details at the browser level. 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 Compliance and Regulatory Data — Without Sending a Single Real Name
With local Zero-Trust Data Sanitization, PrivacyScrubber intercepts data in the browser through our Secure Workspace or the PrivacyScrubber Chrome Extension. The deterministic AST lookaround tokenization system replaces personal data markers with standardized tokens (such as [NAME_1]) in local memory. This design conforms with the standards in offline compliance audits, ensuring that cloud platforms only analyze sanitized text. The Chrome Extension automates this workflow by adding a quick protect toggle inside ChatGPT, Claude, and Gemini for instant inline sanitization and detokenization. By executing deterministic AST lookaround parsing entirely in local memory, PrivacyScrubber preserves the usefulness of PrivacyScrubber, local DLP rules, and compliance auditing tools for production workflows without introducing external risk.
Is PrivacyScrubber safe for Colorado AI Act SB 205 compliance, Colorado Privacy Act AI, Colorado high risk AI algorithmic discrimination, CPA LLM duty of care, Colorado AI impact assessment?
Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with Colorado AI Act SB 205 compliance, Colorado Privacy Act AI, Colorado high risk AI algorithmic discrimination, CPA LLM duty of care, Colorado AI impact assessment, no sensitive data ever leaves your device or touches a cloud server.
How does it handle custom data structures for compliance?
Our engine includes 30 specialized industry profiles optimized for compliance 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.
Tap badge to inspect/restore · Pinch to zoomClick badges to unmask false positives
100% Volatile RAM Preview — Zero Network Transmission
Tap page to zoom· Tap badge to view & restore
100%
Click any badge to unmask· Secure Flattening (Zero Hidden Text Layers)·Scroll to navigate · Ctrl+Scroll to zoom
Detected Sensitive Token
[TOKEN]
Original masked value:
Sensitive Data
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Turn off your Wi-Fi right now and try pasting text into the tool below. It processes 100% in your local RAM without sending any network requests.
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