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How It Works

How it works
in four steps.

Connect your systems, let the platform scan and map everything, then download regulator-ready documents. No consultants. No spreadsheets.

1

Define your scope

Tell us what you do, and we tailor everything to your actual obligations. No generic checklists that don't apply to you.

  • Enable the frameworks that matter: GDPR, AI Act, DORA, ISO 27001, NIS2
  • Answer 15 questions about your AI systems and we classify risk automatically
  • Mark which systems process personal data to activate GDPR workflows
  • Flag critical ICT systems for DORA resilience requirements
EU AI Act
Enabled
EU GDPR
Enabled
DORA
Enabled
ISO 27001
Off

GitHub Connector

AI framework discovery scanning dependencies

Active

PostgreSQL Connector

pii-scanner scanning for personal data

Active

AWS Connector

cloud security posture check

Active
2

Connect your data. We scan it.

Point us at your repos, databases, and cloud accounts. Our scanners run as automated platform tools, and results map directly to compliance obligations.

  • 11 scan engines covering AI frameworks, PII, model security, cloud posture, vulnerabilities, and LLM red-teaming
  • 13 connector types: GitHub, Postgres, MySQL, S3, MongoDB, Redis, AWS, GCP, Azure, OpenAI, Anthropic, and more
  • Pipeline mode fetches data once and fans out to multiple engines, cutting scan time in half
  • Every finding maps to a specific compliance article automatically
Checklist completion24/24 (100%)

Conformity assessment locked

sha256: 8f2a91c3...e04b

3

Lock the conformity assessment

Once every checklist item is genuinely complete, lock it. This single action stamps a tamper-evident audit hash and unlocks the documents that assert you comply, not before.

  • Locks only when 100% of checklist items are marked complete, no partial override
  • Stamps a SHA-256 audit hash of the checklist state at the moment of locking
  • Unlocks the EU Declaration of Conformity, CE Marking Guide, and Conformity Record (AI Act Art. 43, 48)
  • Records who locked it and when, for your audit trail
4

Download regulator-ready documents.

Click a button. Get a formatted PDF. Submit it to your regulator or auditor. No consultants needed.

  • EU Declaration of Conformity (EU AI Act Art. 47) with all required fields pre-filled
  • CE Marking Guide with technical documentation references
  • Risk Assessment Reports per EU AI Act Article 9 with scoring algorithms
  • GDPR DPIAs, RoPA entries, and breach notification templates
  • DORA ICT Risk Framework and incident reporting templates
  • Technical Documentation (Annex IV) with system architecture details
EU Declaration of Conformity
AI Act Art. 47
Technical Documentation
AI Act Annex IV
Risk Assessment Report
AI Act Art. 9
GDPR DPIA
GDPR Art. 35
DORA ICT Risk Framework
DORA Art. 5-10
CE Marking Guide
AI Act Annex V

Automated Scanning

What each scanner checks.

Every scan runs as a platform-managed job within European infrastructure. No data leaves our servers.

AI Framework Discovery

Connector: Git

Clones your repository, generates a Software Bill of Materials (SBOM), and cross-references every package against a curated risk map of AI/ML frameworks.

  • Detects TensorFlow, PyTorch, scikit-learn, LangChain, OpenAI SDK
  • Maps findings to EU AI Act Article 6 risk classification
  • Auto-creates AI System Cards for undocumented AI usage

PII & Special Category Data Discovery

Connector: PostgreSQL

Samples text columns from your database and runs local NLP models to detect personal data plus GDPR Article 9 special category data (health, religion, politics) via GLiNER zero-shot NER. All analysis runs on our European infrastructure.

  • Finds names, emails, phone numbers, national IDs, addresses
  • Detects health data, religious beliefs, political opinions, trade union membership via GLiNER
  • Redacts all samples before storage (raw PII never persisted)
  • Auto-populates GDPR Record of Processing Activities

Multi-Source PII & Secrets

Connectors: S3, MySQL, MongoDB, Redis, Slack, Google Drive

Scans multiple data sources for hardcoded secrets, API keys, and personal data patterns using pattern-matched detection.

  • Detects AWS keys, tokens, passwords, credit card numbers
  • Covers S3 buckets, databases, Redis, Slack, Google Drive
  • Pattern-matched severity scoring (critical/high/medium)

Cloud Security Posture

Connectors: AWS, GCP, Azure

Evaluates your cloud configuration against CIS benchmarks and DORA ICT resilience requirements.

  • Checks IAM policies, encryption, logging, network exposure
  • Maps findings to DORA Articles 6-15 and ISO 27001 Annex A
  • Flags misconfigurations that could cause compliance gaps

Model Artifact Security

Connector: AI System Artifact

Scans AI model files for serialization attacks and unsafe patterns that could compromise model integrity.

  • Scans pickle, H5, SavedModel, PyTorch, ONNX formats
  • Detects model-serialization attacks (EU AI Act AI Act Art. 15 robustness)
  • Comprehensive coverage of model file vulnerabilities

LLM Red-Teaming

Connectors: LLM Endpoint, OpenAI, Anthropic

Probes your language models with adversarial attacks and runs compliance benchmarks.

  • Tests for jailbreaks, prompt injection, encoding bypasses
  • Runs truthfulness and harmful content benchmarks
  • No external AI provider is ever called during testing

MDM Endpoint Audit

Connectors: Microsoft Intune, Jamf Pro, Kandji

Polls your MDM API to verify employee device compliance, disk encryption, OS patching, and passcode policy. Read-only, no agents installed.

  • Checks BitLocker/FileVault disk encryption status
  • Verifies OS version is current and patched
  • Confirms passcode/screen lock policy is enforced
  • Privacy-first: reads MDM policies via API only, never installs agents on devices

AI Act Compliance Benchmark

Connectors: LLM Endpoint, OpenAI, Anthropic

Runs a curated subset of ETH Zurich's COMPL-AI benchmark suite against your chat LLM endpoint, testing cyberattack resilience, fairness, toxicity, and disclosure-of-AI tasks.

  • Tests cyberattack resilience and adversarial robustness
  • Measures fairness and bias across protected attributes
  • Evaluates toxicity and harmful content generation
  • Verifies AI disclosure and transparency compliance

EU-Specific PII Patterns

Connector: Filesystem (pipeline-compatible)

Supplementary regex scan for EU-country-specific identifiers that general-purpose scanners often miss, BSN (Netherlands), Codice Fiscale (Italy), NIR (Italy), IBAN, and more.

  • Detects BSN, Codice Fiscale, NIR, and other national IDs
  • Covers IBAN patterns across EU countries
  • Pattern-matched severity scoring (critical/high/medium)

Vulnerability Scanner

Connectors: Git, Docker Registry

General-purpose vulnerability scanner via Trivy. Checks git repositories and container registries for unpatched CVEs, misconfigurations, and secret leaks.

  • Scans for unpatched CVEs in dependencies and containers
  • Detects misconfigurations and secret leaks
  • Flags critical and high-severity vulnerabilities per DORA Article 9 patching SLAs

Identity & Access Audit

Connectors: Google Workspace, GitHub, Microsoft 365

Polls your Identity Provider to verify MFA enforcement, detect dormant accounts, and ensure former employee access is revoked within SLAs.

  • Verifies MFA enforcement across all accounts
  • Detects dormant and orphaned accounts
  • Checks former employee access revocation timelines
  • Maps to ISO 27001 A.9.2.6 and DORA Article 9

Shadow AI Detection

When our scanner detects AI frameworks in a repository you registered as a standard IT system, it automatically promotes the system to an AI System and sends you an alert. This catches undocumented AI usage before regulators do.

Architecture

How the pipeline works.

Data is fetched once, then multiple engines scan the same local copy. No redundant transfers.

1. Point at source

GitHub, Postgres, S3, etc.

2. Pull data once

To shared storage (PVC)

3. Run engines in parallel

Each reads from same copy

4. Findings mapped to articles

Auto-linked to obligations

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