What Regula does

The detail behind the five questions on the front page: what the scanner looks for, what it reports, how it runs, and where it sits next to other tools. None of it changes what the tool can establish. Regula indicates where to look; it does not decide your risk tier, your obligations, or whether you comply.

← Back to the five questions

Who is this for?

Developers shipping AI products, and the businesses that use them.

If you run the business

Start with deployment context

If your team builds or uses AI, jurisdiction, intended purpose, role and deployment context determine which rules may apply. Record that context in regula assess, then have the result reviewed by the appropriate technical and legal owners.

→ Assess in your browser (no install, no terminal)
If you write the code

Review patterns found in the code

Article 2 includes circumstances in which the Act applies outside the EU, but applicability and risk classification cannot be settled from source code alone. Use the scan to locate evidence and questions for contextual review.

  • Works on AI-generated code (Cursor, Lovable, Bolt, Claude Code)
  • Generates Annex IV documentation from your actual code
  • CI/CD integration · JSON · SARIF · selected references across 13 framework identifiers
regula check .
If you audit compliance

Reviewable evidence scaffolds

Regula can generate evidence-pack scaffolds with SHA-256 manifests; optional commands can add signatures or timestamps when their prerequisites are configured. Packs require human completion and do not establish legal sufficiency. See a sample report → · Evidence pack tiers →

What Regula tells you

The EU AI Act uses risk-based rules whose application depends on intended purpose and deployment context. Regula reports candidate indicators and related provisions for human review; it does not decide the legal tier.

Prohibited
Social scoring · Emotion inference · Real-time biometrics · Subliminal manipulation
Article 5 prohibited-practice indicator →
High-Risk
Credit scoring · Hiring · Healthcare services · Education · Law enforcement
Related Articles 9–15 →
Limited Risk
Chatbots · Synthetic content · Emotion recognition · Deep fakes
Transparency rules →
No elevated indicator
No Article 5, Annex III, or Article 50 pattern detected
No AI-Act duty inferred from code alone →

Regula shows which code evidence triggered a candidate indicator and what context a reviewer still needs.

2026–27
Current enacted timeline: Regulation (EU) 2026/1744 entered into force on 27 July 2026. Annex III high-risk rules apply from 2 December 2027 and Annex I product-embedded high-risk rules from 2 August 2028. Other provisions have different dates and conditions; review the amended legislation for the system in question.

How it works

Three steps. Core scanning requires no account or API key; optional network-enabled features have separate boundaries.

Step 1

Install

pipx install git+https://github.com/kuzivaai/getregula.git@main
Requires Python 3.10 or later; see the tested installation paths. Installation guide ↗

Step 2

Scan

regula
Indicator summary, findings, and suggested next steps.

Step 3

Act

regula comply
Checklist of documentation and controls found for each article.

423
risk patterns (source)
8
programming languages
13
framework reference sets (source)
0
runtime dependencies

What it does

Regula combines code scanning with governance questionnaires. It reads your code for risk patterns, and provides structured self-assessments for the organisational obligations code cannot verify. It generates artefacts an auditor can review, not just findings.

Assess
Gaps

What's missing?

Separates code observations from legal decisions. When applicability facts are unresolved, it names the facts needed next instead of emitting article scores or effort estimates.

regula gap .
Security

Is your AI code secure?

Prompt injection, unsafe model loading, unvalidated AI output, hardcoded keys, and other AI-specific vulnerabilities.

regula check . · regula guardrails .
Oversight

Human review analysis

Traces AI outputs across files. Checks whether each path to a user-facing endpoint passes through a human review gate.

regula oversight .
Evidence
Documentation

Need evidence for review?

Annex IV technical documentation generated from your actual code. Functions, dependencies, and logging coverage pre-populated.

regula docs . · regula conform .
Evidence

Conformity assessment pack

Reviewer-completable evidence pack with a reliance gate, unresolved-facts list, and SHA-256 integrity hashes. Article duties are attached only after the decision kernel resolves applicability. Evidence-pack specification.

regula conform . · regula evidence-pack .
Integrity

Integrity checks and optional signatures

SHA-256 manifests, Ed25519 signatures, and RFC 3161 timestamps can help reviewers check when an assessment was produced and whether files changed afterward.

regula conform --sign --timestamp .
Integrate
Multi-jurisdiction

3 jurisdictions, one scan

Beyond the EU AI Act: the same scan maps findings to South Korea's AI Basic Act (Act No. 20676, in force 22 January 2026) and Colorado SB 26-189 (disclosure-focused, duties from 1 January 2027), each with its own domain-to-obligation mapping and questionnaire.

regula check . --jurisdictions eu,korea,colorado
Cross-regulation

13 framework reference sets

Selected AI Act obligation areas link to selected ISO 42001, NIST AI RMF, SOC 2, OWASP, and other references. The crosswalk helps a reviewer navigate; it does not test equivalence, applicability, or implementation.

regula gap .

62 commands total · Python, JS, TS, Java, Go, Rust, C, C++ · Selected references across 13 framework identifiers. Full CLI reference →

Runs where you work

Terminal, CI/CD, editor, pre-commit. One tool, every workflow.

Terminal

pipx install git+https://github.com/kuzivaai/getregula.git@main && regula check .

CI/CD

GitHub Action: kuzivaai/getregula@v1 with SARIF upload

VS Code

Inline WARN/BLOCK decorators. Scan on save.

Claude Code / Cursor

MCP server: regula mcp-server

Pre-commit

regula install pre-commit

GDPR dual-compliance

regula gdpr : GDPR-related code indicators and AI Act/GDPR hotspots. Pattern source.

Where Regula fits in the market

Code scanning plus governance questionnaires. One of several tools in the EU AI Act ecosystem. Each solves a different part of the problem.

Governance SaaS
Contact sales

Credo AI, Saidot, Enzai, IBM watsonx.governance, Microsoft Purview. Evidence workflows, control libraries, continuous monitoring, legal-expert policy updates. Built for compliance departments, not developers. No published pricing.

Runtime testing
Open source

Garak, Giskard, Promptfoo. Prompt-injection, jailbreak and bias red-teaming against running models. Complementary to Regula, not overlapping. They test behaviour; Regula reads code.

These tools do different jobs, so the useful question is which one fits where you are rather than which scores highest. A code scanner reads what you have written; a questionnaire records what you declare; an authorised representative is a legal role, not a tool. Several of the entries above are complementary to each other rather than alternatives. For runtime agent governance, which none of the above covers, see Microsoft’s Agent Governance Toolkit.