Live Intelligence: Securing 3.4B Prompts Monthly

The Perimeter is No Longer Physical. It's Semantic.

Traditional firewalls are blind to LLM prompt exfiltration. Generative AI requires a new defensive paradigm: Zero-Trust Data Sanitization (ZTDS). Isolate and pseudonymize PII locally at the keyboard level—long before it crosses the network boundary.

Deploy Extension

Video Brief: Securing the LLM Layer

SOC 2 Type II
ISO 27001
GDPR / CCPA
HIPAA

Shadow AI Governance: The "Yes-to-AI" Framework

Legacy Approach: Prohibition

Blocking AI sites forces employees into unmanaged "Shadow AI" loops using personal devices and unencrypted tunnels.

Result: 100% Blindness to Exfiltration

The ZTDS Paradigm: Empowerment

Empower teams to use any LLM by stripping PII at the keyboard level. The CISO maintains audit integrity without ever seeing or storing raw data.

Result: Mathematically Secure Innovation

Architecture Layer Cake: Zero-Server Orchestration

01

CLIENT-SIDE INGESTION

Data remains strictly local; processed in-RAM using WebAssembly. No packet leaves the device baseline.

02

PSEUDONYMIZATION & ZTDS

Deterministic entity mapping via AES-GCM local seed. Labels applied instantly at the semantic boundary.

03

FOUNDATIONAL AI MODEL

Receives only sanitized "safe" payloads. Zero PII recall risks during future model re-training cycles.

Strategic Implementation Roadmap

Phase 01

Audit & Baseline

Map high-risk LLM ingestion points across departments (Legal, HR, Dev).

Phase 02

Shadow AI Amnesty

Deploy PrivacyScrubber to provide a "safe path" for existing unmanaged AI usage.

Phase 03

Policy Enforcement

Hardcode ZTDS as a prerequisite for all enterprise GenAI workflows.

Phase 04

Continuous Audit

Automate compliance reporting using local-only audit logs.

Standardized Compliance & Control Mappings

OWASP LLM06

Directly mitigates Sensitive Information Disclosure by sanitizing proprietary payloads before model exposure.

NIST AI RMF

Fulfills the Manage-1.5 core function by enforcing controls that isolate sensitive inputs within the local perimeter.

ISO 27001 A.8.11

Automates Data Masking compliance at the edge, eliminating the need for complex server-side proxy middle-boxes.

Deployment Economics: Time-to-Value

Legacy Cloud DLP Hub

Requires Vendor Risk Assessment (VRA), Data Processing Addendum (DPA) revisions, and network-wide proxy certification.

3-6 Months

ZTDS Native Deployment

Zero data transit means zero regulatory friction. Bypasses DPA requirements and VDI constraints entirely.

0 Days

CISO Objection Handling Matrix

Common Objection

"Won't masking PII break the AI's contextual understanding?"

Strategic Response

"ZTDS uses semantic placeholders (e.g., [NAME_1]) which preserve the grammatical structure and relationship context. The model understands the intent without ever seeing the identity."

Common Objection

"How do we know the engine itself isn't a supply chain risk?"

Strategic Response

"PrivacyScrubber is 100% auditable via 'Network-Zero' verification. It has no backend, no telemetry, and operates in a hardened browser sandbox. It is mathematically incapable of exfiltration."

Restricted Access

Download the ZTDS Architectural Blueprint

Join 3,000+ security engineering leaders. Instantly access the mathematical proofs, local execution benchmarks, and our SOC 2 mapping guide.

  • VDI & Air-gapped Deployment Protocol
  • Pre-filled Vendor Risk Questionnaire (VRQ)

By authenticating, you agree to our Zero-Trust data policy. We never store your email on our servers.

Interactive Audit Simulation

Verify the Zero-Trust execution pipeline. Input sample data below to trigger a local-only ZTDS audit trail.

ZTDS Compliance Terminal
System ready. Awaiting local input for ZTDS verification...

Technical Governance FAQ

How does PrivacyScrubber prevent "Model Learning" from sensitive data?

By removing PII at the semantic boundary (the prompt), the foundational model never receives the original data. This prevents sensitive information from being stored in the model's training weights or short-term context window.

Is ZTDS auditable for SOC 2 Type II compliance?

Yes. Because the sanitization is auditable in the browser's Network tab, CISOs can provide definitive proof that PII never leaves the endpoint. This dramatically simplifies the "Privacy" trust service criteria in your audit.

Does this work for offline air-gapped environments?

PrivacyScrubber functions 100% offline once initial engine components are loaded. We offer a VDI-optimized build for enterprises requiring hard-isolation deployments.

Get PRO Lifetime

100% Local GDPR Compliance