AI Governance at fileAI
AI governance has become a critical priority as organizations increasingly rely on artificial intelligence to process sensitive data, automate workflows, and power decision-making. Establishing clear governance ensures not only compliance with emerging regulations but also trust, transparency, and accountability in how AI systems are designed and deployed.
At fileAI, we are actively strengthening our governance framework by aligning our practices with international standards, including an ongoing application for ISO/IEC 42001, the first global AI management system standard. This certification underscores our commitment to ethical, safe, and responsible AI, while providing our partners and customers assurance that our systems meet the highest benchmarks.
With adoption of AI projected to contribute over $15.7 trillion to the global economy by 2030, and with more than 75% of enterprises citing governance as a barrier to scaling AI, we recognize that strong AI oversight is not optional — it’s the foundation of sustainable innovation.
At fileAI, we are actively strengthening our governance framework by aligning our practices with international standards, including an ongoing application for ISO/IEC 42001, the first global AI management system standard. This certification underscores our commitment to ethical, safe, and responsible AI, while providing our partners and customers assurance that our systems meet the highest benchmarks.
With adoption of AI projected to contribute over $15.7 trillion to the global economy by 2030, and with more than 75% of enterprises citing governance as a barrier to scaling AI, we recognize that strong AI oversight is not optional — it’s the foundation of sustainable innovation.
fileAI’s principles for safe and ethical AI
fileAI is committed to developing AI technologies that are safe, ethical, transparent, and aligned with human and organizational values. These ten principles guide our development, deployment, and governance of AI.
Responsibility and transparency
1. Own the lifecycle
We take full accountability for our AI systems across the entire lifecycle from design and development to deployment and continuous monitoring. Clear internal governance structures and oversight mechanisms ensure responsible use and alignment with organizational expectations.
2. Act transparency
We provide clear and accessible information about how our AI systems operate, including capabilities, limitations, and decision boundaries. Our goal is to foster informed trust through open communication with customers, partners, and stakeholders.
We take full accountability for our AI systems across the entire lifecycle from design and development to deployment and continuous monitoring. Clear internal governance structures and oversight mechanisms ensure responsible use and alignment with organizational expectations.
2. Act transparency
We provide clear and accessible information about how our AI systems operate, including capabilities, limitations, and decision boundaries. Our goal is to foster informed trust through open communication with customers, partners, and stakeholders.
Data stewardship and security
3. Protect privacy
fileAI adheres to global data protection regulations including GDPR, PDPA, and CCPA. We apply privacy-by-design principles to safeguard personal and sensitive data throughout all data ingestion, processing, and storage operations.
4. Code securely
Our AI infrastructure and models are built using secure coding standards and industry best practices. We proactively mitigate risks such as prompt injection, data leakage, and adversarial exploits to protect both customers and end users.
fileAI adheres to global data protection regulations including GDPR, PDPA, and CCPA. We apply privacy-by-design principles to safeguard personal and sensitive data throughout all data ingestion, processing, and storage operations.
4. Code securely
Our AI infrastructure and models are built using secure coding standards and industry best practices. We proactively mitigate risks such as prompt injection, data leakage, and adversarial exploits to protect both customers and end users.
Reliability and assurance
5. Validate rigorously
We evaluate our AI systems against globally recognized standards and validate this through third-party testing and independent datasets to ensure consistency, transparency, and trustworthiness across enterprise use cases.
6. Monitor continuously
We implement ongoing performance and risk assessments to ensure AI systems adapt safely to changing inputs, edge cases, and use contexts. Monitoring mechanisms help maintain reliability and alignment at scale.
We evaluate our AI systems against globally recognized standards and validate this through third-party testing and independent datasets to ensure consistency, transparency, and trustworthiness across enterprise use cases.
6. Monitor continuously
We implement ongoing performance and risk assessments to ensure AI systems adapt safely to changing inputs, edge cases, and use contexts. Monitoring mechanisms help maintain reliability and alignment at scale.
Ethical alignment and social impact
7. Align with human values
We evaluate our AI systems against globally recognized standards, validated through third-party testing and independent datasets, to ensure consistency, transparency, and trustworthiness across enterprise use cases.
8. Support the public good
We actively support initiatives that promote workforce upskilling, innovation and AI adoption in use cases that benefit the public. fileAI believes responsible AI can drive meaningful societal benefit and and equitable outcomes for all.
We evaluate our AI systems against globally recognized standards, validated through third-party testing and independent datasets, to ensure consistency, transparency, and trustworthiness across enterprise use cases.
8. Support the public good
We actively support initiatives that promote workforce upskilling, innovation and AI adoption in use cases that benefit the public. fileAI believes responsible AI can drive meaningful societal benefit and and equitable outcomes for all.
Incident management and content integrity
9. Report swiftly
In the event of any system, model, or security incident, we are committed to timely notification and remediation. Our incident response procedures follow leading compliance frameworks, including SOC 2 and ISO 27001.
10. Ensure authenticity
We provide transparency into which outputs are AI-generated and ensure users can trace how structured data is extracted, transformed, and applied. This clarity supports audibility, governance, and decision accountability.
In the event of any system, model, or security incident, we are committed to timely notification and remediation. Our incident response procedures follow leading compliance frameworks, including SOC 2 and ISO 27001.
10. Ensure authenticity
We provide transparency into which outputs are AI-generated and ensure users can trace how structured data is extracted, transformed, and applied. This clarity supports audibility, governance, and decision accountability.
AI does not operate in a vacuum — its impact and effectiveness are directly tied to the broader ecosystem of security, compliance, and risk management that surrounds it. Governance of our AI systems is an integrated part of our overall security and compliance posture, ensuring that ethical, technical, and regulatory safeguards work hand-in-hand across every layer of our platform.
Customers seeking a deeper view into our policies, certifications, and controls can explore our Trust Center, powered by Vanta, which provides real-time visibility into the measures we take to protect data and maintain compliance.
Customers seeking a deeper view into our policies, certifications, and controls can explore our Trust Center, powered by Vanta, which provides real-time visibility into the measures we take to protect data and maintain compliance.
