AuditGuard AI — FAQ

AuditGuard AI is an AI-powered compliance audit platform that reads your actual contracts and policies and cites the exact regulation article for every violation. It covers 1,073 articles across 11 frameworks (HIPAA, GDPR, EU AI Act, UAE PDPL, CCPA, SOC 2, ISO 27001, Saudi PDPL, PCI DSS, NIST CSF, IFRS) and uses a 4-agent verification pipeline to reduce hallucinated citations.

Those platforms monitor infrastructure (servers, access controls, security questionnaires) for SOC 2 / ISO audit readiness. AuditGuard reads the actual text of your contracts and policies and cites specific regulation articles — a different category of work. Many customers run both. See vs Vanta and vs Drata.

General LLMs can read text but hallucinate regulation citations, do not redact PII before processing, and do not produce structured audit PDFs. AuditGuard maintains a verified 1,073-article database, uses a Critic Verifier agent to catch fabricated citations, redacts PII on hard-fail before any AI processing, and outputs review-ready reports. See vs ChatGPT.

One limited audit is free. Starter is $39 for one full document audit. Professional is $79/month for 10 audits after a 7-day free trial. Team is $249/month for 50 audits and 3 seats after a 7-day free trial. Enterprise pricing is custom. Purchased credits roll over until used.

Yes. Run one limited audit without a credit card. Upgrade to a one-time full audit or a monthly plan only when you need more.

Minutes. Upload a document, select frameworks, and the 4-agent pipeline returns clause-level violations with citations and suggested replacement text. Compare with $500/hour manual legal review at 4–8 hours per document.

PDF, DOCX, and TXT. The Clause Extractor handles legal-identifier preservation ("Art. 6(1)(a)", "§ 164.312(e)", "Section 5.2.1") so citations remain accurate after recursive splitting.

Yes. AES-256-GCM encryption at rest, TLS 1.2+ in transit, database-level multi-tenant isolation scoped by user ID, and hard-fail PII redaction before any AI model processes the document. If redaction fails, the audit is marked failed and results are not saved. Customer documents are never used to train AI models.

GPT-class models inside a constrained pipeline (Pydantic-validated outputs, citation grounded in the regulation database, Critic Verifier cross-check). The LLM is instructed to only cite article IDs from a provided list of relevant regulations — it cannot invent article numbers.

Enterprise plans can include API access for programmatic uploads and audit retrieval, plus webhook alerts for high-risk findings. Common integrations include vendor-onboarding flows, contract-management systems, and GRC platforms.

Four specialised agents run in sequence: (1) Clause Extractor parses the document and isolates regulation-relevant clauses; (2) Compliance Validator matches each clause against the selected frameworks and identifies violations with article citations; (3) Remediation Generator drafts suggested replacement text; (4) Critic Verifier cross-checks every finding using UUID lookup and filters by confidence threshold. See how it works for detail.

Yes. When a vendor sends you a DPA, MSA, or AI-tool agreement, AuditGuard audits it clause-by-clause against the relevant frameworks and flags missing or non-compliant clauses with article citations and suggested fixes. Common use: onboarding subprocessors under GDPR Art. 28 or BAAs under HIPAA § 164.314.

Yes — 2026 inflation-adjusted HIPAA CMP tiers per 45 CFR § 102.3 (Tier 4 cap $2,134,831), GDPR Art. 83 two-tier system (€10M/2% and €20M/4%), and EU AI Act Art. 99 three-tier system (up to €35M / 7% for prohibited AI) are all reflected in the database.

Email info@auditguard.org. Response time is within 5 business days; Team includes priority email support, while enterprise support terms are defined in the customer agreement.