BlackLine Achieves ISO 42001 Certification and Launches Verity for Trusted, Auditable AI in Finance

BlackLine earned ISO/IEC 42001 certification for its AI management system, validating governance and risk controls. Finance teams get audit-ready AI with clear oversight.

Categorized in: AI News Finance
Published on: Sep 12, 2025
BlackLine Achieves ISO 42001 Certification and Launches Verity for Trusted, Auditable AI in Finance

BlackLine earns ISO/IEC 42001 certification for AI management - a new benchmark for trust in finance

BlackLine has achieved ISO/IEC 42001:2023 certification for its Artificial Intelligence Management System (AIMS). This standard validates how the company governs AI across its platform and underpins Verity, BlackLine's new suite of embedded, auditable AI capabilities built on Studio360.

For finance leaders, this is signal over noise. It means AI features inside BlackLine are developed, tested, and managed against a formal, independently assessed framework for ethics, transparency, risk, and accountability.

What ISO/IEC 42001 means for your finance stack

ISO/IEC 42001 is the first global standard focused on AI management systems. It sets expectations for how organizations govern AI-from data quality and model risk through monitoring, incident response, and auditability.

  • Independent validation that AI controls exist and operate effectively
  • Clear policies for model development, testing, deployment, and ongoing oversight
  • Traceable decisions and audit trails that hold up to scrutiny
  • Defined accountability across teams (engineering, security, legal, and finance)

Learn more about the standard at ISO/IEC 42001:2023.

Inside BlackLine's approach: a "Control Layer for AI"

Verity sits on BlackLine's Studio360 platform with a dedicated control layer for AI. The goal: keep agentic features and insights transparent, auditable, and governed by policy-without slowing down daily work.

  • Embedded controls: permissions, data lineage, and model monitoring built into workflows
  • Audit-ready records: documented prompts, sources, decisions, and outcomes
  • Policy-first design: clear thresholds for quality, security, privacy, and escalation

Security foundation finance teams recognize

The new AI certification adds to BlackLine's existing control environment, which is regularly assessed against:

  • ISO/IEC 27001 (Information Security Management)
  • ISO/IEC 27017 (Cloud Security)
  • ISO/IEC 27018 (Cloud Privacy)
  • ISO/IEC 27701 (Privacy Information Management)
  • SOC 1 and SOC 2 Type 2 reports

Combined with alliances across leading audit and advisory firms, this gives CFOs and Controllers a familiar framework to evaluate vendor risk and meet board and audit committee expectations.

Why it matters to CFOs, Controllers, and Audit leaders

  • Stronger vendor due diligence: a clear standard to test AI claims
  • Audit confidence: evidence for AI-driven workflows and automated judgments
  • Risk control: defined ownership for model updates, drift, and exceptions
  • Data stewardship: protection for source data and PII across record-to-report and invoice-to-cash

Practical next steps for finance teams

  • Map your AI use cases to ISO/IEC 42001 control areas (data, model lifecycle, monitoring, incident handling)
  • Ask vendors for certification scope, SOA (Statement of Applicability), and recent audit reports
  • Pilot Verity in a contained process (e.g., reconciliations or variance analysis) with internal audit engaged
  • Validate audit trails end-to-end: inputs, prompts, outputs, approvals, and overrides
  • Set metrics before rollout: close-cycle time, exception rates, forecast accuracy, and review effort

About BlackLine

BlackLine (Nasdaq: BL) provides a future-ready platform for the Office of the CFO, covering record-to-report and invoice-to-cash with unified data, streamlined processes, and real-time insight through automation and AI. More than 4,400 customers use BlackLine to drive reliable operations and continuous improvement.

Resource

Exploring practical AI options for finance? See a curated list of tools and use cases at AI Tools for Finance.