Sanitize EU DORA Major ICT Incident Reports for LLM Analysis (Regulation 2022/2554)
TEAMS EDITION
Sanitize EU DORA Major ICT Incident Reports for LLM Analysis (Regulation 2022/2554): Client-side data sanitization for EU DORA Major ICT Incident reports (Article 19). Redact internal IPs, server hostnames, and responder credentials locally before using AI for post-mortem analysis.
Ilya SibiryakovPrivacy Architect••3 min read
100% Local Airplane Mode
EU DORA Major ICT Incident Reports & Operational Resilience Dossiers Financial Entity CISOs, Chief Risk Officers & DORA Compliance Directors EU Digital Operational Resilience Act (Regulation (EU) 2022/2554, Articles 17–23) & EBA RTS Guidelines
Direct Technical Standard (Zero-Trust Rule)
Sanitizing EU DORA Major ICT Incident reports for AI triage requires redacting private network IPs, internal core server FQDNs, incident commander employee IDs, database credentials, and commercial client names while strictly preserving incident classification thresholds, client impact percentages, outage durations, RTO metrics, and root cause descriptions. This ensures compliance with DORA Article 19 without exposing internal bank infrastructure to AI model providers.
AI Summary / Key Takeaways
Verified Zero-Trust Logic
"PrivacyScrubber provides the essential de-identification layer for Eu-ai-act 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 Eu-ai-act 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.
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 AI Governance Teams Send to AI — and What They Should Be Sending Instead
This secure content is an original property of PrivacyScrubber™ (https://privacyscrubber.com). Unauthorized mirroring is strictly prohibited. Security-Check-ID: CB63C7D8F
Operationalizing Sanitize EU DORA Major ICT Incident Reports for LLM Analysis (Regulation 2022/2554) demands a proactive stance against corporate data leakage. When integrating systems like ChatGPT Enterprise, Azure OpenAI, and custom fine-tuned models, the possibility of unredacted data exposure to remote servers threatens the integrity of eu-ai-act audits. Our eu-ai-act AI privacy guides details the technical controls required to maintain the eu-ai-act perimeter, addressing prohibited practices and high-risk GenAI transparency failures resulting in compliance fines up to 7% of global turnover directly before it impacts compliance audits.
When team members execute prompts containing confidential data points, they bypass existing edge security perimeters. Legacy firewalls do not inspect unstructured text inputs destined for external neural networks. For AI compliance boards, European legal teams, and international enterprise GRC directors, this lack of visibility is a critical compliance gap. Client-side data sanitization for EU DORA Major ICT Incident reports (Article 19). Redact internal IPs, server hostnames, and responder credentials locally before using AI for post-mortem analysis.
Privacy Insight: Under the EU Digital Operational Resilience Act (DORA, Regulation (EU) 2022/2554), financial entities (banks, investment firms, payment institutions) must report major ICT-related incidents to European Supervisory Authorities (EBA, EIOPA, ESMA) within strict 4-hour, 24-hour, and 1-month deadlines. Using LLMs to triage incidents, draft regulatory filings, and perform root-cause analysis is becoming standard practice. However, feeding unmasked ICT reports into cloud AI models exposes internal IP addresses (RFC 1918), core banking hostnames, security team identities, and credentials — creating severe secondary exploitation risks and violating DORA Article 9 protection mandates.
Why Eu-ai-act Compliance Teams Flag Unmasked AI Prompts
The regulatory mandates governing eu-ai-act are uncompromising: EU AI Act (Chapters II and IV, Article 52). Unfortunately, security tooling rarely matches the speed of shadow AI usage. Mitigating this risk requires adopting the guidelines in eu ai act compliance checklist for chatgpt & copilot users (2026) to ensure sensitive information does not end up inside third-party models. The only reliable approach is stripping identifying details at the browser level. Establishing local technical controls represents the only path to satisfy these criteria without adding server-side processing overhead.
Using our Zero-Trust Data Sanitization (ZTDS) engine, PrivacyScrubber intercepts sensitive records at the browser level via either the web interface or our automated Chrome Extension.
How to Use AI on Real Eu-ai-act Data — Without Sending a Single Real Name
Using our Zero-Trust Data Sanitization (ZTDS) engine, PrivacyScrubber intercepts sensitive records at the browser level via either the web interface or our automated Chrome Extension. The software applies fast, local deterministic AST lookaround expressions to convert sensitive entities to anonymous tokens (like [NAME_1]) before they are transmitted. For compliance auditing, this mirrors the exact principles of GDPR and EU AI Act alignment, enabling organizations to use external AI capabilities without sacrificing data control. The Chrome Extension automates this integration by embedding a protection toggle directly in ChatGPT, Claude, and Gemini to automatically swap and restore text. Processing data through browser-based deterministic AST lookaround tokenization allows safe integration of ChatGPT Enterprise, Azure OpenAI, and custom fine-tuned models for complex tasks while preserving client privacy.
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 enterprise data sovereignty, proving that local-first execution is the ultimate shield for enterprise data.
Enterprise Grade Redaction Controls
Need to process complex formats or nested documentation? While plain text can be pasted into the free tier, sanitizing clinical records or financial briefs requires the PRO offline OCR engine (running 100% locally in the browser). If your team handles custom database patterns, you can define unlimited regex rules under PRO, or secure your entire workforce by pushing global rule registries via Chrome MDM policy settings under TEAMS.
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
Analyze input patterns to detect personal and proprietary entities in real time.
Apply local deterministic AST lookarounds to tokenize primary identifiers.
Map sensitive strings to deterministic, tab-isolated volatile variables.
Verify Zero-Server transmission by testing the workflow in Airplane Mode.
The EU Digital Operational Resilience Act (DORA, Regulation (EU) 2022/2554) enforces strict incident disclosure windows for European financial entities: initial notification within 4 hours of classification (and no later than 24 hours from detection), intermediate report within 72 hours, and final post-mortem report within 1 month. Financial entity CISOs and cyber response teams rely on generative AI to rapidly compile incident chronologies and draft supervisory filings. However, sending unredacted server traces or incident notes to cloud LLMs creates grave security and regulatory vulnerabilities. By following our EU AI Regulatory Compliance Framework, security teams maintain compliance without exposing infrastructure secrets.
Aligning Operational Resilience with AI Governance
DORA Article 9 mandates that financial entities continuously identify, classify, and protect all ICT assets and data flows. Reviewing our Enterprise EU AI Act Guidelines ensures that automated triage tools comply with data minimization and risk-management principles across all incident lifecycles.
GDPR Data Protection & Air-Gapped MCP Architecture
Incident response teams frequently handle personal data of affected account holders and internal response staff, demanding strict adherence to GDPR DPO Compliance Mandates. For secure post-mortem generation in engineering environments, organizations deploy our air-gapped MCP Data Sanitization Server to scrub logs locally within IDEs and command lines.
Instant Simulation
Sanitize EU DORA Major ICT Incident Reports for LLM Analysis (Regulation 2022/2554) 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].
Eu-ai-act Detection Profile
Our zero-trust engine is pre-hardened for Eu-ai-act workflows, automatically identifying and tokenizing the following parameters 100% locally.
NAME
Active Protection
EMAIL
Active Protection
ADDRESS
Active Protection
ID
Active Protection
IP_ADDRESS
Active Protection
IBAN
Active Protection
ORG
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 enterprise data sovereignty.
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.
Compliance Decision Matrix
Field-by-Field Sanitization Rule for EU DORA Major ICT Incident Reports & Operational Resilience Dossiers
To maintain LLM analytical context while avoiding cloud data breaches, follow this deterministic mapping before submitting prompts to third-party AI models:
Document Field / Box
Required Action
Deterministic Token
Statutory & AI Rationale
Incident Commander & Responder Names
REDACT
[NAME_1], [NAME_2]
Employee personal data protected under GDPR Article 6; prevents targeted social engineering
Internal Infrastructure FQDNs & Hostnames
REDACT
[HOSTNAME_1]
Core banking server topology (core-db01.fra.internal.bank.eu); severe exploitation risk
Private RFC 1918 IPv4 & IPv6 Addresses
REDACT
[IP_1], [IP_2]
Internal network layout (10.140.22.41); leaks network boundaries and firewalled subnets
Database Credentials & API Access Tokens
REDACT
[KEY_1]
High-liability credentials; zero-trust violation if uploaded to external cloud LLM
Statutory classification tier required for competent authority notification timelines
Number of Affected Clients & Percentage
PRESERVE
Cleartext (42,500 clients / 8.4%)
Core quantitative metric mandated by EBA RTS to assess systemic impact on market
Duration of Service Disruption & Downtime
PRESERVE
Cleartext (3 hours 42 minutes)
Mandatory operational resilience telemetry to verify Recovery Time Objective (RTO)
Estimated Financial & Economic Impact
PRESERVE
Cleartext (€185,000.00 gross)
Direct financial threshold metric required for European Supervisory Authorities (ESA)
Incident Root Cause Typology
PRESERVE
Cleartext (Third-Party Payment Gateway Timeout)
Essential engineering narrative needed for AI post-mortem synthesis and mitigation planning
1-Click Persona Prompt
Safe LLM Prompt Template for EU DORA Major ICT Incident Reports & Operational Resilience Dossiers
Copy and paste this structured prompt into ChatGPT, Claude, or Gemini alongside your tokenized text to prevent LLM rejection:
You are an Enterprise CISO & DORA Operational Resilience Consultant. Analyze the following sanitized Major ICT Incident report where responder names, server hostnames, internal IPs, API keys, and corporate client names are replaced with tokens ([NAME_1], [NAME_2], [HOSTNAME_1], [IP_1], [KEY_1], [ORG_1], [ORG_2]).
Tasks:
1. Evaluate whether the incident meets the mandatory DORA Article 18 notification criteria (client impact > 10% or > €100k economic loss).
2. Assess the 3h 42m outage duration against financial sector Recovery Time Objectives (RTO).
3. Draft the formal Executive Board and Supervisory Authority (BaFin / ECB) mitigation briefing. Do not request or speculate on real employee names or private internal hostnames.
[PASTE SANITIZED TEXT HERE]
You are an Enterprise CISO & DORA Operational Resilience Consultant. Analyze the following sanitized Major ICT Incident report where responder names, server hostnames, internal IPs, API keys, and corporate client names are replaced with tokens ([NAME_1], [NAME_2], [HOSTNAME_1], [IP_1], [KEY_1], [ORG_1], [ORG_2]).
Tasks:
1. Evaluate whether the incident meets the mandatory DORA Article 18 notification criteria (client impact > 10% or > €100k economic loss).
2. Assess the 3h 42m outage duration against financial sector Recovery Time Objectives (RTO).
3. Draft the formal Executive Board and Supervisory Authority (BaFin / ECB) mitigation briefing. Do not request or speculate on real employee names or private internal hostnames.
[PASTE SANITIZED TEXT HERE]
ChatGPT & Enterprise LLMs Integration
Step-by-Step Integration Guide: Sanitize EU DORA Major ICT Incident Reports for LLM Analysis (Regulation 2022/2554)
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.
Eu-ai-act 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.
Zero-Trust Data Sanitization (ZTDS) — Verified Architecture
Independently auditable facts for Eu-ai-act 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 eu-ai-act 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 Eu-ai-act Teams.
What triggers a Major ICT Incident under DORA Article 18?
Under DORA Article 18 and the joint EBA/EIOPA/ESMA Regulatory Technical Standards (RTS), an incident is classified as Major if it affects critical functions, impacts more than 10% of active clients or more than 100,000 clients, causes economic impact exceeding €100,000, extends across multiple EU Member States, or causes service unavailability exceeding 2 hours.
Why is pasting raw DORA incident dossiers into public AI models hazardous?
DORA incident notification templates contain granular technical post-mortem details: vulnerable server hostnames, private subnet IPs, root-cause code weaknesses, affected core databases, and responder identities. Exposing this internal topology to commercial cloud LLMs creates secondary cyber exposure risks and breaches DORA Article 9 ICT risk management frameworks.
What fields does PrivacyScrubber redact in a DORA incident report?
PrivacyScrubber tokenizes incident commander names, employee badge numbers, direct email/phone contacts, internal server FQDNs, RFC 1918 IP addresses, database credentials, API tokens, and institutional client names. Incident classification tiers, affected user counts, outage durations, RTO metrics, and general root-cause typologies remain 100% intact for AI synthesis.
How does local sanitization align with European Supervisory Authority (ESA) expectations?
Local in-memory sanitization guarantees that no confidential banking infrastructure data or customer telemetry transits outside the financial entity's boundary. This complies with DORA ICT third-party risk management requirements and GDPR Article 25 (Privacy by Design), ensuring full regulatory defensibility during supervisory audits.
Does protecting data with PrivacyScrubber before AI processing satisfy EU AI Act (Chapters II and IV?
Yes. Processing pseudonymized data for a secondary purpose (AI analysis or drafting) aligns with EU AI Act (Chapters II and IV 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 eu-ai-act 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 eu-ai-act-specific patterns such as proprietary account IDs, MRNs, or internal project codes.
Can I reverse the redaction if I use PrivacyScrubber to mask eu-ai-act 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 eu-ai-act 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 "Sanitize Prompt" — 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 Eu-ai-act Compliance Teams Flag Unmasked AI Prompts
The regulatory mandates governing eu-ai-act are uncompromising: EU AI Act (Chapters II and IV, Article 52). Unfortunately, security tooling rarely matches the speed of shadow AI usage. Mitigating this risk requires adopting the guidelines in eu ai act compliance checklist for chatgpt & copilot users (2026) to ensure sensitive information does not end up inside third-party models. The only reliable approach is stripping identifying details at the browser level. Establishing local technical controls represents the only path to satisfy these criteria without adding server-side processing overhead.
How to Use AI on Real Eu-ai-act Data — Without Sending a Single Real Name
Using our Zero-Trust Data Sanitization (ZTDS) engine, PrivacyScrubber intercepts sensitive records at the browser level via either the web interface or our automated Chrome Extension. The software applies fast, local deterministic AST lookaround expressions to convert sensitive entities to anonymous tokens (like [NAME_1]) before they are transmitted. For compliance auditing, this mirrors the exact principles of GDPR and EU AI Act alignment, enabling organizations to use external AI capabilities without sacrificing data control. The Chrome Extension automates this integration by embedding a protection toggle directly in ChatGPT, Claude, and Gemini to automatically swap and restore text. Processing data through browser-based deterministic AST lookaround tokenization allows safe integration of ChatGPT Enterprise, Azure OpenAI, and custom fine-tuned models for complex tasks while preserving client privacy.
DORA Compliance Timelines & AI Post-Mortem Triage
The EU Digital Operational Resilience Act (DORA, Regulation (EU) 2022/2554) enforces strict incident disclosure windows for European financial entities: initial notification within 4 hours of classification (and no later than 24 hours from detection), intermediate report within 72 hours, and final post-mortem report within 1 month. Financial entity CISOs and cyber response teams rely on generative AI to rapidly compile incident chronologies and draft supervisory filings. However, sending unredacted server traces or incident notes to cloud LLMs creates grave security and regulatory vulnerabilities. By following our EU AI Regulatory Compliance Framework, security teams maintain compliance without exposing infrastructure secrets.
Is PrivacyScrubber safe for eu dora ai compliance, dora ict incident report sanitization, major ict incident ai triage, regulation eu 2022 2554 operational resilience, financial entity dora ai privacy, eba ict incident reporting?
Yes, absolutely. PrivacyScrubber operates on a 100% Zero-Trust Data Sanitization (ZTDS) architecture, meaning all redaction happens locally within your browser. When working with eu dora ai compliance, dora ict incident report sanitization, major ict incident ai triage, regulation eu 2022 2554 operational resilience, financial entity dora ai privacy, eba ict incident reporting, no sensitive data ever leaves your device or touches a cloud server.
How does it handle custom data structures for eu-ai-act?
Our engine includes 30 specialized industry profiles optimized for eu-ai-act 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.
