Enigmata Joins Finovifi Marketplace With AI Data Protection Tools for Banks

Enigmata, a Nashville-based data protection company, has joined the Finovifi Marketplace, offering community banks and credit unions tools to protect sensitive data when employees use AI chatbots and to analyze data while it stays encrypted. The company's two offerings are Enigmata Sentinel and its underlying Cipher technology.
- Enigmata, a Nashville-based data protection firm, has joined the Finovifi Marketplace for community banks and credit unions.
- Enigmata Sentinel replaces sensitive data with protected placeholders before it reaches ChatGPT, Claude, Gemini, Grok and Copilot in supported web-based workflows.
- Cipher, the technology behind Sentinel, is also available for analytics and model training on encrypted data.
- According to Enigmata, Cipher runs on standard computing infrastructure and can speed up training and improve predictions.
- Possible uses named include transaction pattern analysis and fraud detection.
Protecting data in everyday AI use
Enigmata Sentinel is a data protection solution that helps safeguard sensitive information when employees use AI tools. According to Enigmata, it is built on Cipher, the company's proprietary data protection technology, and works with ChatGPT, Claude, Gemini, Grok and Copilot in supported web-based workflows.
The source describes the approach as follows: employees keep using familiar chat applications and their existing provider accounts. Behind the scenes, Sentinel detects sensitive information and replaces it with protected placeholders before those values reach third-party AI providers. Cipher protects the original values, so Sentinel can restore the information that the user is authorized to see when the AI returns a response.
Enigmata positions Sentinel as another line of defense alongside policies, training and existing security controls. Protection is scoped to information types and workflows validated during evaluation. Sentinel also records protection and reveal activity.
Training models on encrypted data
Cipher is also available now for institutional analytics. According to the announcement, sensitive data normally has to be made readable before teams can use it to train a model. Cipher lets teams build models while the data remains encrypted, which Enigmata says reduces exposure of the original customer details.
The company also claims Cipher can enable faster model training and more accurate predictions, and that its protection runs on standard computing infrastructure, without specialized hardware or cloud environments. Potential applications for banks and credit unions include identifying patterns in transactions and improving fraud detection.
The release frames the problem as one where opportunity and risk sit in the same workflow. AI can help employees draft communications, summarize documents and prepare notes, but a copied customer record or an attachment with account details can expose information unintentionally. Likewise, distributing readable copies of data across data teams and processing environments can exceed an institution's appetite for risk.
What the marketplace listing means
Finovifi, which according to its own description helps community financial institutions reduce risk, simplify operations and modernize banking, says the addition expands the specialized capabilities available through its marketplace. Coy Ogle, Head of Partnerships at Finovifi, said Enigmata "addresses two practical challenges: reducing accidental exposure when employees use AI and making sensitive data usable for analysis."
Peter Baer, Co-Founder and CMO of Enigmata, said: "The common foundation is protecting sensitive data while keeping it useful."
For community banks and credit unions, the listing offers a way to explore these tools through a marketplace they may already use for technology providers. The announcement does not give pricing or deployment details. Institutions can learn more at finovifi.com/marketplace or enigmata.xyz. Enigmata was founded in 2024 and is headquartered in Nashville, Tennessee.


