
rPOTENTIAL: YOUR TRUSTED PARTNER FOR SECURITY/DATA PRIVACY AND RESPONSIBLE AI
At rPotential, our security and privacy practices are designed to meet the rigorous standards of leading global enterprises. With cutting-edge infrastructure, robust policies, and responsible AI governance, your data is secure and protected with us. We are built for compliance, resilience, and transparency, earning the trust of leading enterprises and securing billions of interactions.

Secure Development Lifecycle (SDLC)
We adhere to a comprehensive SDLC, incorporating Shift-Left, SBOM rigor, CNAPP dynamic and static on CI/CD, runtime protection, policy as code, IAC security checks, container security, API security, AI adversary, thorough dependency scanning, mandatory secure coding training for all engineers.

Secure Development Lifecycle (SDLC)
We adhere to a comprehensive SDLC, incorporating Shift-Left, SBOM rigor, CNAPP dynamic and static on CI/CD, runtime protection, policy as code, IAC security checks, container security, API security, AI adversary, thorough dependency scanning, mandatory secure coding training for all engineers.

Secure Development Lifecycle (SDLC)
We adhere to a comprehensive SDLC, incorporating Shift-Left, SBOM rigor, CNAPP dynamic and static on CI/CD, runtime protection, policy as code, IAC security checks, container security, API security, AI adversary, thorough dependency scanning, mandatory secure coding training for all engineers.
Fairness by Design
Our AI models are trained on diverse datasets, meticulously tailored to each customer's specific needs, and rigorously monitored to reduce bias. This ensures AI that works effectively for everyone, not just the average case.
Privacy & Ethics First
We enforce strict data boundaries to protect your sensitive information. No sensitive signals are used in training, and all Personally Identifiable Information (PII) is automatically redacted. These practices are backed by AICPA GAAP, ISO 27001 and ISO 27701 compliance.
Transparent AI
Explainability is engineered into every aspect of our AI. We utilize advanced techniques to identity risk, and aligning to EU AI Act, and responsible AI.
Built-in Quality & Risk Controls
Every rPotential model undergoes comprehensive post-processing, double-checks, and continuous live performance tracking. This ensures accuracy, safety, and adaptability at scale.
COMPLIANCE AND CERTIFICATIONS, ATTESTATION
Current Compliance
We currently comply with:
PCI-DSS
ISO 27701:2019
GDPR
GDPR
CCPA
NY Privacy
VCDPA
EU AI Act
EU - US DPF
Frameworks for Future Certification
We are actively working towards certification in the following frameworks:
ISO 27001:2022 Certification
December 2025
SSAE 18 Soc 2 Type II Attestation
3rd Qtr 2026

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