Data resilience and disaster recovery are critical for businesses in the digital economy, where data loss due to technical malfunctions, human error, or cyberattacks is inevitable. MongoDB Atlas offers robust disaster recovery capabilities tailored to different business needs, emphasizing the importance of planning with recovery point and recovery time objectives (RPO/RTO). MongoDB Atlas provides built-in features for both prevention and recovery, such as multi-region clusters, encryption, and backup compliance protocols, ensuring data is safeguarded and quickly recoverable in the event of a disaster. Organizations can customize backup schedules and leverage features like continuous cloud backups with point-in-time recovery to minimize data loss and meet specific recovery objectives. MongoDB's comprehensive approach supports compliance with regulatory requirements and offers a streamlined process for implementing data resilience strategies, ensuring minimal operational disruptions. Additionally, MongoDB's advancements in AI highlight the company's commitment to integrating AI solutions for enhancing data management and security, as seen in collaborations with companies like Nomic, Robust Intelligence, and VISO TRUST, which leverage MongoDB's capabilities to make AI more explainable, secure, and effective in managing cybersecurity risks.