According to FinTech Global, ISO/IEC 42001 is moving toward the baseline for AI vendor accountability in security and compliance, pushing due diligence past SOC 2 Type II and PCI DSS into independently auditable AI lifecycle controls.
The verification bottleneck has shifted
Financial services procurement has defaulted to SOC 2 Type II and PCI DSS for years. Per the report, both remain necessary but no longer sufficient. AI introduces new verification variables: model decision logic, training data provenance, data protection posture, human-in-the-loop feasibility, kill-switch latency, and—decisively—whether any of the above can be independently attested rather than self-declared.
ISO 42001 formalizes that final variable. The standard mandates third-party audits across the full AI lifecycle: design, development, deployment, and ongoing monitoring. Audited outputs include verifiable evidence on governance structure, risk assessment and mitigation, data governance, and incident escalation. Procurement teams gain a reference artifact for board memos and regulatory exams that is not vendor-authored.
Regulatory fragmentation is already reshaping RFPs
No unified AI rulebook exists, but the requirements are landing in procurement language regardless. The EU AI Act has established a risk-tiered obligation framework. The NIST AI Risk Management Framework is being adopted by US institutions as a reference structure for identifying and mitigating AI risk. Internal audit committees at banks and asset managers are converting those expectations into RFP questions; vendors that cannot answer on model governance, training data lineage, and explainability are being filtered out earlier in the cycle.
Scorecard adjustments for trading bot and quant platform vendors
For teams refreshing AI vendor assessments in the algo trading stack, high-signal checks narrow to a few items.
- ISO 42001 and SOC 2 are complementary, not redundant. AI-specific governance requires its own audit artifact.
- Self-declared documentation shifts the verification burden to the buyer. Require independently attested evidence.
- Map model governance, training data lineage, and explainability directly into RFP language before engagement.
- Retain visibility into the physical and identity authorization layers that fall outside the AI model surface—for instance, the appointment-based verification procedures used when vendors operate across borders.
- Demand verifiable records of API permission scope, strategy history, and post-trade execution logs. Self-attested activity reports are not substitutes for audit-ready artifacts.
Context: the OKQuant.ai signal
A release on Issuewire positions OKQuant.ai, headquartered in Singapore, around API permission hygiene (explicit read and trade scope, withdrawal warnings), strategy recordkeeping, and post-trade review. The marketing framing is secondary. The verifiable artifacts it surfaces—API scope definitions, trade logs, and activity records—map directly to the controls ISO 42001 and SOC 2 assessors now evaluate. For procurement, the presence of those artifacts, independent of any vendor's positioning language, is the variable that matters.