Data security in AI-powered ERP: key considerations
First published on September 14, 2025 , updated on September 16, 2025In discussions about the adoption of Artificial Intelligence, one question consistently rises, particularly in the minds of C-suite leaders: "Is our data safe?" This is a fundamental question of business risk, client trust, and corporate stewardship. It is paramount for professional services firms, whose entire business model is built on securing sensitive client information.
A responsible approach to AI requires a fundamentally different, security-first mindset. It demands an unequivocal commitment to data privacy and a verifiable and transparent multi-layered security framework. This article will directly address the key considerations for data security in an AI-powered ERP, outlining VOGSY's unwavering policy against using customer data for model training and detailing the comprehensive security architecture that protects your most valuable asset.
The cardinal rule: your data is not our product
VOGSY's policy is unequivocal: Your data will not be used to train, retrain, or fine-tune any AI models outside your organization. This is not a setting you need to configure or a box you need to uncheck; it is a core, unshakeable principle of our AI governance.
What this means in practice is that there is zero risk of your sensitive project data, financial information, or client communications being leaked or used to inform the AI of another company, even an anonymous competitor. This policy prevents data cross-contamination by design. It ensures that your strategic information remains your strategic advantage.
A multi-layered security and governance framework
A strong policy is the starting point, but a robust and verifiable framework of technical and procedural controls must support it. In the age of AI, true data security is not achieved by a single solution but by a series of overlapping layers that work together to create a comprehensive defense.
1. Foundational security: ISO 27001
A strong information security management system (ISMS) is the baseline for any enterprise-grade cloud software. VOGSY is certified to ISO 27001, the internationally recognized gold standard for information security. This certification is not specific to AI; it governs the entire platform and organization. It means that we have a comprehensive, audited system of controls for managing risks related to data security, business continuity, and cybersecurity. This is the bedrock upon which all other security measures are built.
2. Infrastructure security: the certified cloud
Modern ERP systems do not exist in a vacuum; they are built upon the infrastructure of major cloud providers. Therefore, the security of the underlying infrastructure is just as important as the security of the application itself.
VOGSY is built on Google Cloud, which has also achieved both ISO 27001 and ISO 42001 certifications for its infrastructure and AI development platforms. This creates a seamless, end-to-end chain of trust. From the physical security of the data centers to the application layer you interact with, every ecosystem component is governed by the same rigorous, internationally recognized standards for security and responsible AI management.
3. Application-level security: enforcing user permissions
One significant security risk of poorly implemented AI is its potential to circumvent existing data access controls. A powerful AI assistant could theoretically become a backdoor for users to access information they are not authorized to see.
A securely designed system prevents this at the application level. The VOGSY AI Assistant is architected to rigorously respect and enforce all existing user permissions you have configured within the VOGSY platform. Suppose a user's role does not grant them access to financial data. In that case, they cannot obtain that information by asking the AI Assistant for it, no matter how clever their query. The certified AI management system acts as a gatekeeper, ensuring that every AI-powered query is subject to the same authorization checks as a manual data request.
4. The AI governance layer: ISO 42001
The final and most crucial layer is the AI-specific governance provided by the AIMS, which is structured according to the ISO 42001 standard. This top layer adds a set of controls specifically designed to address the unique risks of AI. It includes policies for handling data within AI processes, ensuring it is used responsibly, ethically, and only for its intended purpose within your organization. This governance layer provides the specific oversight needed to manage AI, building upon the broader security foundation of ISO 27001. For a CFO, this combination of certifications provides verifiable, third-party assurance that the system is managed to the highest standards.
Conclusion
For leaders of professional services firms, data security is not just a technical issue but a matter of brand reputation and client trust. In an era where your firm is a custodian of your clients' most sensitive strategic information, the security of your own operational systems directly reflects your professional integrity.
Therefore, a responsible approach to AI must be built on an uncompromising foundation of data security. This requires a clear and absolute policy against the external use of customer data, supported by a multi-layered framework of controls that are independently audited and certified to the highest international standards. By prioritizing this security-first approach, you can confidently embrace the benefits of AI and be secure in the knowledge that your data—and your clients' data—is protected by a comprehensive and verifiable system of governance.
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Frequently asked questions
Will VOGSY use my company's data to train its AI models for other customers?
No, never. VOGSY has an unequivocal policy that your data will not be used to train, retrain, or fine-tune any AI models for the benefit of any other organization. Your data remains your own.
How do you prevent the AI from leaking sensitive information between customers?
Our data security controls, governed by certifications like ISO 27001, are designed to prevent data cross-contamination. The primary safeguard is our absolute policy against using one customer's data to train models for another, which eliminates this risk by design.
How does the VOGSY AI Assistant handle my internal data access rules and permissions?
It rigorously respects and enforces all existing user permissions you have configured in VOGSY. If a user is not authorized to see financial data, for example, they cannot get that information by asking the AI Assistant for it, no matter how they phrase the query.
What is the "end-to-end chain of trust" you mention with Google Cloud?
The same high international standards govern every layer of our system. VOGSY is ISO 27001 certified and pursuing ISO 42001 for the application. It is built on Google Cloud, which is already certified for both ISO 27001 (security) and ISO 42001 (AI management). All building blocks are ISO 42001 certified: 1. the infrastructure, 2. the AI agent development kit, 3. Gemini, used for generative AI inside VOGSY, 4. the application layer, VOGSY itself. This end-to-end chain of governance and trust is a key selling point that you can use to differentiate your company from your competitors.
What is the single most important question to ask any vendor about AI and data security?
You should ask: "What is your explicit policy on using my data to train your AI models?" The only acceptable answer for any enterprise-grade system handling sensitive business information should be a clear and unambiguous "No". Follow up by asking for certification of their AI management system!
Leo Koster
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