The Zero-Server AI Privacy Mission

About PrivacyScrubber — Zero-Server AI Privacy by Design

PrivacyScrubber was engineered on an uncompromising principle: enterprise AI productivity should never require surrendering data sovereignty. We build client-side mathematical sanitization tools so professionals and enterprises can harness LLMs with zero cloud data transit.

100% Local
Endpoint CPU

Zero server-side ingestion

4 Surfaces
Ecosystem Reach

Web, Ext, MCP Server & SDK

25 Profiles
Detection Engine

Core, Compliance & Industry

0 Bytes
Egress Footprint

Verified via Airplane Mode

The Problem We Solved

The AI Interface Compliance Void

When employees copy and paste customer contracts, financial earnings statements, medical notes, or proprietary source code into tools like ChatGPT, Claude, and Gemini, standard network firewalls and legacy cloud DLPs are completely blind to the encrypted browser keystrokes.

PrivacyScrubber closes this gap right at the keyboard interface. By transforming raw entities into structural surrogate tokens before they are dispatched, the enterprise eliminates third-party training risks and statutory privacy liabilities instantly. See the 4-step pipeline.

The Architecture

Zero-Trust Data Sanitization (ZTDS)

Unlike legacy cloud DLP vendors who ask you to route all sensitive corporate prompts through their proxy servers (creating yet another third-party attack vector), PrivacyScrubber requires zero trust because it maintains zero servers.

All Named Entity Recognition, regex tokenization, OCR parsing, and team session encryption execute purely on your workstation CPU and volatile RAM. No data at rest, no telemetry logs, no exfiltration. Read our compliance documentation for GDPR, HIPAA, and SOC 2 mappings.

Ilya Sibiryakov

Ilya Sibiryakov

Founder & Chief Architect

LinkedIn Profile
Internet Society (ISOC)
Global Member • ISOC-IL Chapter
Academic Foundations
Zenodo DOI • OSF • SSRN
Leadership Statement

Built by Ilya Sibiryakov

"If a security system has a server backend, that server can be subpoenaed, misconfigured, or breached. PrivacyScrubber proves its security through physics: zero network egress, zero storage, and 100% endpoint autonomy."

As Chief Architect at BrandMeWeb and member of the Internet Society (ISOC) and ISOC-IL, I designed PrivacyScrubber to give technical teams, legal counsels, and healthcare institutions complete confidence when adopting generative AI. Actively contributing to global encryption advocacy, client-side data minimization, and open internet governance, we pair high-speed endpoint execution with 25 specialized industry profiles and an air-gapped MCP Server to preserve absolute data sovereignty.

Trust & Governance

Institutional Affiliations & Academic Treatises

Our engineering standards are grounded in international privacy organizations and formal scientific publications.

Internet Society (ISOC)

Active member of the Internet Society and ISOC Israel Chapter (ISOC-IL), supporting global encryption advocacy and data minimization standards.

Zenodo / CERN (DOI)

Foundational treatise on Zero-Trust Data Sanitization (ZTDS) deposited under permanent digital object identifier 10.5281/zenodo.22058770.

OSF & SSRN Treatises

Empirical latency benchmarks (OSF: 5byjf) and EU AI Act compliance research on SSRN (7335581).

There's An AI For That

Officially featured on the top global AI directory under Personal Data Removal, alongside verified ratings on Chrome Web Store and AlternativeTo.

Our Engineering Manifesto

Core technical axioms that govern every line of code we release.

1. Offline Independence

Every scrubbing algorithm functions flawlessly in Airplane Mode. If a feature requires an external server to redact text, it will not be built.

2. Volatile RAM Lifecycle

Session maps exist solely in transient heap memory. Closing the tab or reloading permanently purges all token mappings without leaving trace artifacts on disk.

3. Authenticated Cryptography

Team collaboration utilizes client-side Argon2id key derivation and XChaCha20-Poly1305 authenticated encryption to sync rules without server inspection.

Try PrivacyScrubber Free Enterprise & Air-Gapped

Sustainable Product-Led Model

Because our engine uses your endpoint CPU rather than expensive cloud clusters, our infrastructure overhead is negligible. This allows us to keep the core Web Workspace completely free forever, monetizing through advanced PRO ($15/mo or $110 Lifetime) and TEAMS ($99/mo) deployments. We monetize our mathematical algorithms, never your data.

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