Content quality and editorial trust
Google Search Central: Creating helpful, reliable, people-first content
Sources and standards
AIWorkflow.icu Sources and Standards
Public references used to keep AIWorkflow.icu content, workflow guidance, risk language, and guardrail recommendations grounded in recognized AI, security, and search-quality guidance.
Reference policy
Public sources help keep AI workflow guidance grounded.
AIWorkflow.icu is a consulting site for customers evaluating AI workflow automation. The sources below are used to shape content quality, risk framing, guardrail language, security boundaries, and review practices.
These references do not mean AIWorkflow.icu is certified by, endorsed by, or legally advised by the listed organizations. They are public standards and guidance used to keep buyer-facing content specific, conservative, and reviewable.
Source list
Official references used across the site.
Each link opens the original public source. The summaries explain how the reference informs AIWorkflow.icu content and implementation language.
Google Search Central
Creating helpful, reliable, people-first content. Google's public search guidance informs how AIWorkflow.icu separates customer-facing pages from internal research, adds visible authorship, and keeps content useful for buyers rather than keyword lists.
National Institute of Standards and Technology
AI Risk Management Framework. NIST's AI RMF informs the site's emphasis on mapping, measuring, governing, and managing workflow risk before AI agents receive broader authority.
OWASP Foundation
OWASP Top 10 for Large Language Model Applications. OWASP's LLM application risk categories inform guardrail pages that discuss prompt injection, data leakage, tool use, access control, and human review.
Cybersecurity and Infrastructure Security Agency
Secure by Design. CISA's Secure by Design guidance supports the preference for scoped permissions, reviewable changes, fallback paths, and ownership before production automation expands.
NIST Trustworthy and Responsible AI Resource Center
AI RMF Playbook. The NIST AI RMF Playbook informs practical questions for mapping, measuring, governing, and managing AI workflow risk as a pilot moves from idea to production review.
MITRE
MITRE ATLAS. MITRE ATLAS informs adversarial AI and machine learning threat language used when discussing prompt injection, data exposure, tool misuse, and monitoring needs.
How sources are used
Sources support decisions without replacing expert review.
The site uses public references to make workflow, risk, and guardrail content more precise. Regulated or security-sensitive projects still need the right internal reviewers.
AI risk and governance language
National Institute of Standards and Technology: AI Risk Management Framework
LLM application security risk patterns
OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Security and ownership principles
Cybersecurity and Infrastructure Security Agency: Secure by Design
Risk review questions and control planning
NIST Trustworthy and Responsible AI Resource Center: AI RMF Playbook
Adversarial AI threat modeling
MITRE: MITRE ATLAS
FAQ
Sources and standards questions.
Short answers about certifications, public references, service work, and the boundary between guidance and expert review.
Does AIWorkflow.icu claim certification by these organizations?
No. These are public references used to shape content, risk language, and implementation principles. They are not claims of certification, endorsement, or legal advice.
Why does a consulting site include sources and standards?
AI workflow automation affects operations, data, security, customer communication, and financial decisions, so buyers should see the public references behind the site's guardrail and risk language.
How are these sources used in service work?
They inform workflow mapping, risk tiering, access boundaries, reviewer ownership, fallback paths, logging needs, and how claims about AI value are framed before a pilot expands.
Are these sources a substitute for legal, compliance, or security review?
No. They are reference material for scoping and content quality. Regulated, security-sensitive, or legal workflows still need review by the appropriate internal or external experts.
Reference-aware workflow review
Use standards as a starting point for one practical workflow.
A consultation can translate public guidance into a scoped workflow, approval boundary, data access plan, and ROI measurement model.