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Fixed-Scope PackageTarget: B2B companies, AI startups, SaaS platforms & boards subject to Israel Amendment 13, GDPR Art. 32, the EU AI Act & SOC 2 requirements

Amendment 13 Privacy Audit: AI DPIA Compliance Assessment & ZTDS Architecture Audit

Enterprise AI compliance audit for Israeli companies: Amendment 13 privacy audit, Shadow AI corporate audit, a Zero-DPA compliance memo, and GDPR and Israeli privacy compliance, as part of reducing statutory risk (Safe Harbor).

Price / Value₪7,500 – ₪18,000 (Audit & Sanitization)
Every client is an independent brand: bespoke architecture
Amendment 13 Privacy Audit: AI DPIA Compliance Assessment & ZTDS Architecture Audit - Advanced Engineering Services | BrandMeWeb
Executive Answer Capsule (GEO)

Amendment 13 Privacy Audit: AI DPIA Compliance Assessment & ZTDS Architecture Audit

Supervised by Ilya Sibiryakov

Employees paste customer data into public AI, and the board must show due care. We deliver an Amendment 13 privacy audit, DPIA, and ZTDS review in 48 hours.

48h
AI Safety Snapshot Audit from 7500 ILSA Shadow AI risk review, a DPIA report, and a board document pack in 48 hours, from ₪7,500.
PII
PII Leakage Prevention in GenAIPersonal data is sanitized in device memory before it reaches a model (ZTDS / Privacy Scrubber), reducing leakage to networks and clouds.
Safe Harbor
Documented Duty of CareProactive technical measures documented under Amendment 13 Sec. 17 and GDPR Art. 32. This reduces statutory exposure and does not guarantee release from liability.
Audit Packages & Retainers

Amendment 13 Privacy Audit, DPIA & ZTDS™ Architecture Audit Packages

Transparent, modular pricing: from a 48-hour snapshot sprint to ongoing monthly governance. Everything is written, in a two-page term sheet, with no sales calls. The audit is technical and not a legal opinion.

Rapid Turnaround48 Hours (2–3 Business Days)

Amendment 13 & Rapid DPIA Sprint

₪7,500 – ₪9,500 ($2,000–$2,500)

Shadow AI risk discovery, RFC v1.0 4 Invariants audit via npx ztds-audit, a board-ready DPIA report, and a CISO Zero-DPA memo for counsel review.

Deliverables & Scope:
  • Full Shadow AI mapping and npx ztds-audit code inspection
  • Official Data Protection Impact Assessment (DPIA) document
  • CISO Zero-DPA memo for counsel review (Amendment 13 & GDPR Art. 32)
  • Corporate AI Acceptable Use Policy documentation
  • Written executive board briefing on statutory safe harbor measures
Message on WhatsAppGet 2-Page Term Sheet
Enterprise Flagship2–3 Weeks

Full Enterprise Audit & ZTDS Architecture

₪12,000 – ₪18,000 ($3,200–$4,800)

Complete audit and implementation suite: everything in Snapshot plus full ZTDS deployment across internal MCP servers and APIs, production llms.txt, Schema.org graph, and dynamic trust badge in ztds.ai.

Deliverables & Scope:
  • All Snapshot deliverables (DPIA, CISO memo, npx ztds-audit report)
  • Air-gapped local MCP stdio server & RAM-only ZTDS sanitization
  • Production llms.txt & llms-full.txt deployment for AI answer engines
  • Deep Schema.org Linked Entities Knowledge Graph architecture
  • Listing in international ztds.ai/registry and embeddable dynamic SVG badge
  • Audit conformance certificate signed by Principal Architect Ilya Sibiryakov
Message on WhatsAppGet 2-Page Term Sheet
Continuous GovernanceContinuous Retainer

Systems Governance & AI Security Retainer

₪5,900 – ₪9,900 / mo

Ongoing technical and statutory oversight by Principal Architect: automated monthly CI/CD validation in GitHub Actions, recurring Shadow AI scans, and continuous LLM corpus updates.

Deliverables & Scope:
  • Automated monthly CI/CD compliance validation via GitHub Actions
  • Recurring Shadow AI audits and proactive PII leak monitoring
  • Active dynamic badge hosting in the ztds.ai consortium registry
  • Continuous semantic llms.txt refreshes for AI answer engine discovery
  • Priority CISO/DPO advisory support for enterprise procurement audits
Message on WhatsAppGet 2-Page Term SheetView all monthly retainer tiers
Ilya Sibiryakov • Lead Architect ZTDS.ai • Board-Level Advisory

Israel Amendment 13 AI Compliance, DPIA Assessment & ZTDS™ Governance

Led directly by Principal Systems Architect Ilya Sibiryakov — lead author of the Zero-Trust Data Sanitization standard (ZTDS RFC v1.0). We conduct rigorous technical audits, reduce Shadow AI egress to external networks and clouds, and document statutory safe harbor measures in 48 hours. The audit is technical and not a legal opinion.

Direct WhatsApp AdvisoryAbout Ilya Sibiryakov
48 Hours
Full Delivery
DPIA report ready for the board
Local-first
Reduced External Egress
Volatile memory tokenization only
Safe Harbor
Statutory Safe Harbor
Documented Duty of Care under Art. 32
Level 1 ZTDS
Registry Listing
Listing in ztds.ai/registry & badge
Free In-Browser Tool

Want to check if your data leaks to AI right now?

Paste any prompt, code snippet, or ID numbers into our in-browser Zero-Trust scanner. 0 bytes leave your machine.

Launch Free Data Leak Checker
Israeli Privacy Protection Law & Amendment 13

Statutory Risk Matrix: Unchecked Shadow AI vs Documented Safe Harbor Measures

Regulatory Risk VectorWithout Audit (High Liability)After BrandMeWeb Audit (Technical Safe Harbor Measures)
Statutory Fines & Class ActionsExposure to fines and class actionsDocumented statutory Duty of Care defense & Safe Harbor
Personal Liability for C-Level & BoardExposure to personal liability for officersDocumented DPO/CISO pack & a signed technical statement that reduce personal exposure
Shadow AI & Trade Secret LeaksEmployees copy-pasting data into public training setsRAM-only client sanitization & Zero-Retention API
DPIA Regulatory RequirementA missing DPIA can be treated as non-complianceTurnkey DPIA report ready for review
Subprocessor Chain LiabilityFull exposure to third-party vendor leaks and breach claimsA Zero-DPA memo helps assess whether a DPA is needed, thanks to local RAM tokenization
Self-Assessment: Amendment 13 & DPIA
Estimated time: 60 sec

Amendment 13 & Enterprise AI Compliance Diagnostic

Check active controls to calculate regulatory liability and generate actionable technical recommendations.

1. Are employee prompts sanitized of citizen IDs, IBANs, and CRM data before frontier LLM dispatch?
In-memory client-side masking prevents physical egress to remote cloud model providers.
Article 17: statutory data security duty and breach avoidance.
2. Has a formal Data Protection Impact Assessment (DPIA) been executed for internal AI tooling?
Amendment 13 mandates documented risk impact assessments prior to AI system deployment.
Mandatory documentation under the Israeli Privacy Protection Authority.
3. Are developer prompts and Model Context Protocol (MCP) stdio streams air-gapped from secrets?
Agentic IDE tools can inadvertently transmit database credentials and API keys in system context.
Infrastructure protection against silent credential leakage.
4. Does the organization enforce Zero-DPA architecture via deterministic reversible tokenization?
ZTDS deterministic surrogate tokens eliminate subprocessor chains under GDPR Art 28 & Recital 26.
Liability shield against vendor-side training or infrastructure breaches.
5. Is there a designated Data Protection Officer (DPO) and rapid breach disclosure workflow?
Amendment 13 expands mandatory DPO appointment and establishes personal officer liability.
Personal corporate officer exposure and administrative turnover penalties.
Compliance Readiness Score
0 / 100Critical Regulatory Exposure
Status0%

Direct exposure to 5% global turnover sanctions

Zero in-memory data egress controls in place. Unsanitized prompts create statutory liability.

Order $2,500 Snapshot Audit on WhatsAppFormal Audit Request
48-Hour Pipeline & ZTDS™ RFC v1.0 Invariants

4-Stage 48-Hour Audit Pipeline, 4 ZTDS™ Invariants & llms.txt Ingestion

Shadow AI discovery, volatile RAM sanitization, Zero-Retention API lock & turnkey DPIA delivery

Turnaround Methodology

4-Stage 48-Hour Rapid Audit & Remediation Pipeline

Hours 01-12

Shadow AI Discovery

Mapping unofficial AI tools, browser extensions, and employee workflows leaking proprietary data or customer PII.

Verified Deliverable
Hours 12-24

PII Scrubbing Injection

Deploying client-side PII masking (Privacy Scrubber architecture) in local browser RAM with zero server logging.

Verified Deliverable
Hours 24-36

Zero-Retention API Lock

Enforcing enterprise Zero Data Retention API configurations, per provider terms, to reduce downstream exposure.

Verified Deliverable
Hours 36-48

DPIA Delivery

Delivering a turnkey DPIA assessment, a Corporate AI Acceptable Use Policy, and a board briefing pack.

Verified Deliverable
RFC Standard & 4 Invariants

ZTDS™ Standard: The 4 Fundamental Invariants of Zero-Trust Data Sanitization

RFC v1.0 verification: automated inspection with npx ztds-audit checks that sensitive data does not leave device volatile memory along the scanned paths.

Invariant 1

Zero External Egress Prior to Sanitization

Raw customer PII, corporate IDs, and financial tokens never cross the local execution perimeter unmasked. Sanitization occurs strictly prior to socket dispatch.

Automated Verification
Invariant 2

Deterministic Reversible Tokenization

Masked synthetic tokens preserve syntactic and semantic context for LLMs while the private mapping dictionary resides exclusively in client volatile RAM.

Automated Verification
Invariant 3

Verifiable Cryptographic Isolation

Execution is confined to device memory or sandboxed WebAssembly (WASM) runtimes with zero third-party telemetry or persistent disk caching.

Automated Verification
Invariant 4

Reduced Subprocessor Chain (Zero-DPA)

Reduces third-party subprocessor exposure under GDPR Article 32 and Israel Amendment 13 Sec. 17. Whether a DPA is needed is a question for your counsel.

Automated Verification
Generative Engine Optimization

Production llms.txt Ingestion: Get Discoverable in ChatGPT Search, Perplexity & Claude

We author and deploy standardized production llms.txt and llms-full.txt files in your public root directory, enabling AI answer engines to extract verified facts and authority citations and to recommend your services.

/public/llms.txt

Compact semantic entity index and core URLs for fast AI bot parsing

/public/llms-full.txt

Complete deep knowledge base, procurement FAQ, and trust signals (ISO/SOC2/ZTDS)

Linked Schema.org

Knowledge Graph strengthening brand authority signals for AI engines

Consortium Registry & Dynamic Trust Badge

Registry Listing & Embeddable Dynamic SVG Badge

Upon audit completion, a unique SHA-256 receipt is computed and your entity is registered in ztds.ai/registry. The dynamic SVG badge verifies real-time conformance on your compliance portal.

ZTDS REGISTRY BADGE (EXAMPLE)
Level 1 Protocol Conformance
sha256:e3b0c44298fc1c149afbf4c8996fb9...
https://ztds.ai/registry/[client-slug]
Diagnostic Ecosystem & Guides

Free Diagnostic Tools & Flagship Engineering Guides

Leverage our free diagnostic engines to inspect prompt leakage and study flagship architectural guides by our Principal Architect.

Free Scanner
AI Data Leak Checker

RAM-only prompt leakage scanner with zero external network egress.

Test Prompt
AI Reputation
ChatGPT Brand Audit

Test whether ChatGPT cites and recommends your brand or competitors.

Audit Brand
Flagship Guide
MCP Security & Cursor IDE Gateways

How to prevent secrets, Supabase keys, and PII from leaking to cloud LLMs.

Read Guide
GEO Guide
Generative Engine Optimization Guide

The authoritative guide to llms.txt, Schema.org, and AI answer engine rankings.

Read Guide
Rapid Technical Audit for Board & C-Level

Order an Amendment 13 AI Audit & DPIA

Connect directly with Principal Architect Ilya Sibiryakov for an immediate risk assessment, Shadow AI risk reduction, and DPIA delivery in 48 hours, all in writing.

Order Audit via WhatsApp

Why Your Business Needs This

The core reasons why market leaders invest in this solution.

1

1. Lower Statutory Risk & Documented Duty of Care

Documenting proactive measures under Amendment 13 Sec. 17 and GDPR Art. 32 reduces exposure for the company and its officers. It is not a release from liability.

2

2. Less Data Leakage to Networks & Clouds

ID numbers, account details, and PII are masked in device memory before they reach a model.

3

3. A CISO Pack for Enterprise Customers

A DPIA, a Zero-DPA memo, and an AI usage policy shorten security reviews by large customers.

4

4. Presence in Generative Search (GEO)

llms.txt files and entity markup raise the chance of being cited in ChatGPT Search, Perplexity, and Claude.

5

5. SHA-256 Signature & Dynamic Trust Badge

A badge linked to the ztds.ai registry lets customers check your audit status.

Organic Revenue Opportunity Gap Calculator
CTR Benchmark: +65% Top 3 + AI

How much revenue is your business leaving on the table outside Top 3 & AI?

Quantify the real revenue upside of leading Google search, Google AI Overviews, and ChatGPT citations.

3,500 visits / mo
$450
Estimated Annual Opportunity Gap (Lost Revenue):
+$183,600/ year
> 8.5x Growth Retainer Value
Additional High-Intent Visits:+2,275
Additional Monthly Conversions:+34 / mo
Direct WhatsApp Assessment

Based on a conservative 1.5% lead conversion benchmark and +65% organic CTR uplift from Top 3 ranking and AI engine citations.

Service Details and Deliverables

Many employees paste customer data, financial reports, and source code into public AI tools. Under Amendment 13 to the Privacy Protection Law (Sec. 17) and GDPR Art. 32, management must show that it took reasonable measures.

BrandMeWeb's Amendment 13 privacy audit, led by Ilya Sibiryakov, delivers a technical audit and documents for management. We reduce statutory risk and document duty of care (Safe Harbor), but the audit is not a legal opinion and does not guarantee release from fines or personal liability. The legal decision stays with your counsel.

Read Full Technical Architecture & Specification+

What the service includes:

  1. 1Shadow AI corporate audit and AI data security: scanning with npx ztds-audit
  2. 2A DPIA and a Zero-DPA compliance memo documenting the data flow
  3. 3Sanitizing personal data in device memory before it reaches models (ZTDS / Privacy Scrubber)
  4. 4llms.txt and a dynamic trust badge in ztds.ai/registry

Three tracks:

  1. 1Amendment 13 & Rapid DPIA Sprint (₪7,500 – ₪9,500): an audit in 48 hours.
  2. 2Full Enterprise Audit & ZTDS Architecture (₪12,000 – ₪18,000): about 2–3 weeks, including MCP servers, llms.txt, and the badge.
  3. 3Systems Governance & AI Security Retainer (₪5,900 – ₪9,900 per month): monthly CI/CD checks and Shadow AI scans.

Timelines are indicative and depend on organization size.

Key Features & Deliverables

  • Code and network scanning with npx ztds-audit for ZTDS 4 Invariants validation
  • A CISO pack, a DPIA report, and a Zero-DPA memo for counsel review
  • llms.txt and llms-full.txt files for AI engine indexing
  • A SHA-256 audit signature and a ztds.ai/registry listing
  • A dynamic trust badge for your site and security policy pages
  • A technical audit statement signed by Ilya Sibiryakov

How We Work

01Phase 1

Shadow AI Corporate Audit

Running npx ztds-audit finds exposed network calls to AI models and unauthorized data leakage.

02Phase 2

DPIA Report & CISO Pack

A Data Protection Impact Assessment (DPIA) and a Zero-DPA memo that documents the data flow for your counsel to review.

03Phase 3

llms.txt Deployment (GEO)

llms.txt and llms-full.txt files for machine reading by ChatGPT Search, Perplexity, and Claude.

04Phase 4

ZTDS Certificate & Trust Badge

A SHA-256 signature, a ztds.ai/registry listing, and a dynamic trust badge on your site.

Frequently Asked Questions

What are the ZTDS 4 Invariants?

The ZTDS (Zero-Trust Data Sanitization) standard is open and defines 4 invariants: no personal data on the network without sanitization, reversible tokenization in memory only, isolation in device memory with no servers, and a shortened subprocessor chain. The audit checks them with npx ztds-audit.

How is an Amendment 13 audit different from a legal opinion?

The audit is technical: a data-flow map, a DPIA, and documentation of safeguards. It helps show due care and reduces exposure, but it is not a legal opinion and does not guarantee release from fines. The legal decision stays with your counsel.

What is a Zero-DPA compliance memo?

A technical document recording that personal data is sanitized locally before it reaches the AI provider, so a data processing agreement (DPA) with the provider may not be required. Whether a DPA is needed is a decision for your counsel.

Does the audit require us to stop using AI?

No. We replace unmanaged use with local sanitization (Privacy Scrubber and a free local MCP server for Cursor) and enterprise API settings with no history retention, per provider terms.

How does PII leakage prevention work for development teams?

We add CI/CD checks, a local MCP server for dev tools, and AI usage rules, so code, keys, and customer data are not sent to models without sanitization.

What does the governance retainer include (₪5,900 – ₪9,900 per month)?

Automated checks in CI/CD through GitHub Actions, hosting of the dynamic trust badge on ztds.ai, monthly Shadow AI scans, and llms.txt refreshes.

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Service price: ₪7,500 – ₪18,000 (Audit & Sanitization). Contact us for a detailed proposal.

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