Bibha AI

Founded in 2024

Bibha AI recognises that the confidentiality, integrity and availability of information and data created, maintained and hosted by us are vital to the success of the business and privacy of our partners.

As a service provider/product, we understand the importance in providing clear information about our security practices, tools, resources and responsibilities within Bibha AI so that our customers can feel confident in choosing us as a trusted provider.

This Security Posture highlights high-level details about our steps to identify and mitigate risks, implement best practices, and continuously develop ways to improve.

Founded in 2024

Compliances (7)

Here are the compliance frameworks that Bibha AI follows which showcases our adherence to industry-standard security guidelines and practices.

ISO 27001

Compliant

A globally recognized standard for establishing, implementing, maintaining, and continually improving an information security management system (ISMS).

SOC 2

Compliant

SOC 2 is a voluntary compliance standard for service organizations, developed by the American Institute of CPAs (AICPA), which specifies how organizations should manage customer data. The standard is based on the following Trust Services Criteria: security, availability, processing integrity, confidentiality, and privacy.

SOC 1

Compliant

Focuses on internal controls over financial reporting, ensuring that service organizations meet standards relevant to financial transactions.

GDPR

In progress

The General Data Protection Regulation, a comprehensive data protection law in the EU, governs how organizations must protect personal data and privacy.

UK GDPR

In progress

UK General Data Protection Regulation (UK GDPR) is the UK’s data protection law post-Brexit. It ensures organizations comply with UK-specific data privacy requirements.

ISO 42001 v2023

In progress

AI certification

ISO/IEC 42001:2023 provides a management framework for organizations to integrate artificial intelligence (AI) systems responsibly. It addresses AI governance, risk management, ethical considerations, and compliance with regulatory and industry standards. The framework ensures AI systems are transparent, accountable, and aligned with organizational objectives while minimizing potential risks associated with their deployment.

EU Artificial Intelligence Act

In progress

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