Security & data handling
Your data stays yours, by design.
AI systems touch your most sensitive information. These are the practices every engagement follows, from the first call to handover.
How every project is delivered.
NDA before details
Happy to sign your NDA (or provide one) before you share anything confidential, including architecture, data samples or business context.
Least-privilege access
Scoped, revocable credentials for exactly the systems a project needs. Read-only by default; write access only where the work requires it.
Your data, your cloud
Systems can be deployed inside your own cloud account or VPC, so documents, embeddings and logs stay in infrastructure you control.
PII handled by design
Personal data is detected and anonymized in the pipeline before indexing or reaching a model, with stricter rules for sensitive groups such as minors.
Model providers, chosen deliberately
Commercial APIs (Anthropic, OpenAI, Amazon Bedrock) are configured under business terms that exclude training on your data by default; open-source models can run fully in your environment when required.
Humans approve sensitive actions
Agents that can act are built with explicit approval gates, role-based permissions and an audit trail of what was proposed, approved and executed.
Observability without oversharing
Tracing and evaluation are configured to avoid storing sensitive payloads unnecessarily, with retention matched to your policies.
Clean handover and deletion
You own the code, models and documentation. At the end of an engagement, access is removed and any project data held on my side is deleted on request.
Have a security questionnaire or vendor assessment? Send it to mubashir.data555@gmail.com and it will be completed before the project starts.
Security questions.
Can you work under our security policies and tooling?
Yes. I can work inside your repositories, cloud accounts and ticketing, follow your access-request process and use the environments and secrets management you already have.
Do you use our data to train models?
No. Your data is used only to build and run your system. Commercial model APIs are used under terms that exclude training on API data by default, and open-source models can run entirely within your infrastructure.
Have you worked with regulated or sensitive data before?
Yes: French-language court decisions with multi-jurisdiction privacy rules and minor-protection safeguards, mental-health conversations with crisis-risk escalation, and a public-sector assistant with audience-isolated retrieval.
Have an AI initiative in mind? Let’s scope it in 30 minutes.
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