SKN | Capital One Expands Databolt to Secure Enterprise AI and Unstructured Data

Key Takeaways:

• Capital One introduced new Databolt capabilities focused on securing unstructured data for AI use.
• The update targets protection of sensitive data such as PII across documents, emails, and multimedia.
• The enhancements aim to enable enterprises to safely leverage data for AI without compromising security.

Capital One Targets AI Data Security Gap

Capital One, through its software division, has unveiled new innovations for its Databolt platform at the RSAC 2026 Conference.

The enhancements are designed to address a growing challenge for enterprises: how to secure sensitive data while enabling AI-driven workflows, particularly as organizations scale beyond experimentation.

Unlocking Value in Unstructured Data

A major focus of the update is enabling enterprises to safely utilize unstructured data, which includes formats such as PDFs, emails, transcripts, and office documents.

This type of data represents a large share of enterprise information but is difficult to secure using traditional tools without disrupting the structure required for AI models.

Databolt introduces automated inspection and protection mechanisms, identifying sensitive information like personally identifiable data and applying techniques such as tokenization to preserve usability.

Enhancing Data Protection Across the Lifecycle

Capital One is positioning Databolt as a platform that secures data at rest, in motion, and in use.

New capabilities include expanded deployment options for regulated industries, improved access controls, and enhanced visibility through analytics dashboards.

These features are designed to give organizations greater control over complex data environments while maintaining compliance and operational efficiency.

Supporting Enterprise AI Adoption

The upgrades reflect a broader industry trend where companies are seeking to balance innovation with security.

By embedding protection directly into data workflows, Databolt aims to remove barriers that have slowed AI adoption, allowing organizations to safely leverage previously underutilized data.

This approach aligns with increasing demand for secure-by-default architectures in enterprise technology.

Outlook

Capital One’s latest Databolt enhancements highlight the growing importance of data-centric security in the AI era.

As enterprises continue to expand AI initiatives, solutions that enable secure and scalable data usage are likely to become a key differentiator in the technology landscape.

For confidential inquiries, partnership opportunities, or deeper insights into AI security, enterprise data strategies, and digital transformation, we invite you to connect directly with the SKN team for professional engagement.