The Future of Data Security: Thales Collaborates with Google Cloud GenAI

Thales and Google Cloud Partner to Enhance Data Security with Generative AI

Thales, the leading provider of data security solutions, has announced a strategic collaboration with Google Cloud to integrate generative artificial intelligence (AI) features into its CipherTrust Data Security Platform. The partnership aims to address the growing security challenges posed by the rapid adoption of cloud-native platforms, such as the potential risk of sensitive data being stored without proper knowledge.

Building a Data Discovery and Classification Tool

The initial focus of the Thales-Google Cloud partnership will be the development of a data discovery and classification tool powered by Google Cloud’s Vertex AI machine learning platform. According to Gartner, it is predicted that over 95% of new digital workloads will be deployed on cloud-native platforms by 2025, presenting a significant shift from the current 30% in 2021. However, this widespread reliance on the cloud also brings about new and amplified security threats.

To address this challenge, Thales will leverage the capabilities of Vertex AI to enable organizations to effectively identify and categorize their data while implementing appropriate security controls. These new features will be integrated into Thales‘ CipherTrust Data Security Platform’s Intelligence Protection service.

Data Classification and Protection through Machine Learning

The inclusion of machine learning technology will allow the CipherTrust Platform to automatically classify data into relevant categories and subcategories, enhancing the efficiency and accuracy of data discovery and classification processes. Furthermore, the Semantic context capabilities enabled by Vertex AI will enable the identification and classification of information from a diverse set of document repositories while ensuring that sensitive data remains within established boundaries.

Using named entity recognition techniques, the Thales service will have the ability to identify various types of sensitive information. This will aid organizations in discovering potentially vulnerable areas and implementing appropriate controls to protect critical data.

Automation and Policy Alignment with Google Cloud’s Vertex AI

Integration with Google Cloud’s Vertex AI will provide Thales with the means to automate various processes and align them with corporate policies. This automation will free up valuable resources within organizations, enabling them to focus on more strategic activities while maintaining robust data security measures.

The Increasing Importance of Data Security in the Cloud Era

The partnership between Thales and Google Cloud highlights the rising significance of data security in the cloud era. As more companies migrate their digital workloads to cloud-native platforms, they face new security challenges that must be carefully addressed.

The potential risks associated with storing and managing sensitive data in the cloud require organizations to constantly adapt and enhance their security measures. The integration of generative AI technologies into data security platforms, such as Thales‘ CipherTrust, provides a promising solution to identify, classify, and protect critical information effectively.

Advisory: Strengthening Data Security in the Cloud

As organizations increasingly rely on cloud-native platforms, it is crucial to establish robust security measures to mitigate potential risks. Here are some recommendations for strengthening data security in the cloud:

1. Comprehensive Data Discovery and Classification:

Invest in tools, like the one being developed by Thales and Google, that leverage machine learning to automatically identify and classify data. Ensure that sensitive information is classified accurately and that the appropriate security controls are implemented.

2. Encryption and Access Controls:

Implement strong encryption mechanisms and access controls to protect data both at rest and in transit. Utilize encryption key management solutions to ensure the secure generation, storage, and rotation of encryption keys.

3. Regular Security Assessments:

Conduct regular security assessments and penetration testing to identify vulnerabilities and address them promptly. Stay updated on the latest security threats and industry best practices to ensure your security measures remain effective.

4. Employee Education and Awareness:

Train employees on data security best practices, such as practicing strong password hygiene, avoiding suspicious links and attachments, and being mindful of data sharing practices. Heightened awareness and knowledge among employees play a critical role in maintaining a secure cloud environment.

5. Multi-Factor Authentication:

Enable multi-factor authentication across cloud services to provide an additional layer of security. With multi-factor authentication, even if a user’s credentials are compromised, an extra verification step helps prevent unauthorized access.

Conclusion

The collaboration between Thales and Google Cloud signifies the increasing importance of data security in the cloud-native era. By leveraging generative AI capabilities, organizations can empower themselves with advanced tools to discover, classify, and protect their data effectively. However, it is essential for enterprises to remain proactive in implementing robust security measures and staying informed about evolving threats to maintain the integrity and confidentiality of their data in the cloud.