AI Safety and Security

At Chekaam, we understand that the responsible development and deployment of AI technology is crucial, especially when it is used around sensitive business and financial information. Our commitment to AI safety is reflected in security measures, testing protocols, and continuous monitoring systems.

Our AI safety framework is built on three pillars: robust security infrastructure, responsible AI development practices, and continuous monitoring and improvement. Each aspect of our AI system undergoes testing and validation to support reliability, accuracy, and responsible operation.

Security controls: We design our platform with access controls, authentication, auditability, and operational safeguards appropriate for business records.

Data protection: Data transmissions and stored information are protected using security controls appropriate to the service and regularly reviewed as the platform develops.

Access control: Role-based access helps ensure that only authorized people can access specific business data and systems. Access privileges are reviewed according to least-privilege principles.

Network security: Our infrastructure uses monitoring, controlled environments, and security assessments to reduce unauthorized access and data leakage risks.

Our AI features are tested across relevant scenarios and edge cases, with ongoing validation for accuracy and reliability. We document model changes and review outputs for potential issues.

Where AI outputs could influence an important business decision, users remain responsible for reviewing the output and applying appropriate human judgment.

We aim to make AI-supported workflows understandable and transparent, including clear product behavior and documentation for the features we provide.

We monitor applicable privacy, security, and financial-record obligations as Chekaam develops. Our systems are designed to support responsible handling of business information and operational review.

We continue to review our controls, processes, and documentation against relevant industry expectations and applicable data protection requirements.

We monitor for security incidents and system anomalies and maintain procedures for identifying, containing, investigating, and resolving incidents.

We review security events and update our safeguards based on new risks, testing results, and operational learnings. Where an incident affects users, we will communicate through appropriate channels in accordance with applicable requirements.