In today’s digital landscape, implementing artificial intelligence (AI) is essential for businesses seeking to enhance data security and compliance. The recent Zurich release for the ServiceNow platform introduces significant improvements to platform encryption, empowering organizations to better protect sensitive data while maintaining functionality and user experience. This blog will explore the latest features of platform encryption, common use cases, and how these enhancements can benefit your organization. By understanding how to integrate AI into your data protection strategies, you can ensure that your sensitive information remains secure and compliant with industry regulations.

Understanding Platform Encryption and Its Importance

Artificial intelligence is reshaping how organizations manage data security. The Zurich release enhances platform encryption, a suite of features designed to protect sensitive information at various levels of risk. Implementing AI tools can streamline your data management processes and improve compliance with security mandates, such as GDPR and HIPAA.

With increasing regulatory pressures and the growing volume of sensitive data, businesses must find ways to secure their information without sacrificing functionality. Platform encryption addresses this challenge by offering:

– Cloud Encryption: This data-at-rest encryption ensures compliance while allowing flexible key management. Organizations can manage their own keys, ensuring they have full control over their encryption processes.
– Field Encryption Enterprise: This feature allows organizations to implement targeted encryption for specific fields, enabling granular control over who can access sensitive data.

Leveraging AI in Data Protection Strategies

Experts agree that leveraging AI services can significantly enhance your approach to data protection. By utilizing AI-driven tools, organizations can automate compliance checks, improve data discovery, and streamline encryption management. For instance, AI can analyze data patterns and help identify sensitive information that requires encryption, ensuring organizations remain compliant with regulatory standards.

Common Use Cases for Platform Encryption

Organizations across various industries face unique challenges when it comes to data protection. Here are some common scenarios where platform encryption proves beneficial:

1. Protecting Employee PII: As organizations incorporate HR workflows, they often collect personally identifiable information (PII) about employees. Field encryption can be used to ensure this data is only accessible to authorized personnel, safeguarding against unauthorized access.
2. Customer Data Protection: For businesses offering customer service management (CSM), protecting customer PII is critical. Implementing cloud encryption can help secure this data while maintaining a seamless user experience.
3. Vulnerability Data Security: Organizations that manage security operations must protect sensitive vulnerability data. By applying encryption at both the cloud and field levels, businesses can ensure that this information remains confidential and compliant with industry regulations.

New Features in the Zurich Release

The Zurich release introduces several exciting features that enhance platform encryption capabilities. One of the most notable updates is the addition of row-level encryption. This enhancement allows organizations to define encryption rules based on dynamic conditions, ensuring that sensitive data is protected at a more granular level than before. Here’s how it works:

– Row Conditions: Instead of applying encryption rules to entire columns, businesses can now encrypt specific rows based on defined criteria. This means sensitive data can be accessed only by those who require it, minimizing the risk of unauthorized exposure.
– Flexible Key Management: Organizations can bring their own keys and manage them according to their unique requirements, providing additional layers of security and compliance.

By implementing these features, organizations can enhance their data protection strategies while ensuring that user experience remains uninterrupted.

Best Practices for Implementing AI and Platform Encryption

To maximize the benefits of platform encryption, organizations should consider the following best practices:

1. Conduct a Data Inventory: Understanding what data you have and where it resides is crucial. Implementing AI tools for data discovery can help identify sensitive information that needs protection.
2. Establish Clear Encryption Policies: Define roles and permissions for data access, ensuring that only authorized personnel can view sensitive information.
3. Regularly Update Encryption Keys: Employ a routine key management strategy to rotate and revoke keys as necessary to maintain security.

Conclusion: The Future of Data Security with AI

As businesses continue to adopt AI workflows, implementing artificial intelligence in data protection strategies will become increasingly vital. The Zurich release for the ServiceNow platform enhances platform encryption, equipping organizations with the tools needed to secure sensitive data effectively. By embracing these advancements and best practices, your organization can ensure compliance while fostering a secure data environment.

To learn more about how to implement AI solutions in your organization, visit Implement Artificial Intelligence today.