Code Story: Insights from Startup Tech Leaders

The Gene Simmons of Data Protection – Navigating the Future of Data Management

Jul 30, 2025

Michael Howard, CEO of Protegrity, dives into the complexities of data protection, proudly standing as the 'Gene Simmons of Data Protection.' He critiques traditional type systems, calling them 'lame,' and discusses their failures in modern data management. Howard explores how quantum computing presents new challenges for encryption methods. He shares insights on Protegrity's innovative approaches to embedding security directly into data, advocating for dynamic policies that enhance data management in an evolving tech landscape.

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INSIGHT

Type Systems Lack Data Integrity

Traditional type systems only define data categories but don't verify data validity or completeness.
This limitation makes them inadequate for modern AI and large language model applications requiring accurate data.

ANECDOTE

Revenue Data Loss Example

A major company lost an entire quarter of revenue data due to a DBA deleting it in Salesforce.
This error dramatically disrupted pipeline analytics and exposed weaknesses in type systems for data quality.

INSIGHT

Quantum Threat to Encryption

Quantum computing will break current encryption like RSA, exposing vulnerabilities in digital wallets and data security.
Both attackers and defenders will have access to quantum capabilities on cloud platforms, leveling the playing field.

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The Gene Simmons of Data Protection: Protegrity's KISS Method

Today, we are releasing another episode from our series, entitled The Gene Simmons of Data Protection - the KISS Method, brought to you by none other than Protegrity. Protegrity is AI-powered data security for data consumption, offering fine grain data protection solutions, so you can enable your data security, compliance, sharing and analytics.

Episode Title: Navigating the Future of Data Management: Type Systems, Quantum Computing, and Protegrity's Innovations

In our final episode, we are speaking with Michael Howard, CEO of Protegrity. We talk about how traditional type systems often fail short in modern data management, as well as potential threats posed by quantum computing to current encryption methods, as well as how Protegrity's product embeds context and security into the data itself, in order to repel any threat.

Questions

Tell me and my audience a little bit about you.
I know that you’ve referred to type systems as “lame.” Can you explain the concept of type systems in databases, why they’re lame, and why they pose challenges for modern data management?
How is quantum computing poised to impact the current landscape of data security and encryption?
What are some of the limitations of traditional type systems in databases, and how can they be improved to handle modern data challenges?
Can you share insights on how Protegrity's approach to data classification and protection differs from traditional methods?
Looking ahead, how do you envision the role of type systems evolving with the advent of quantum computing and other emerging technologies?
One of Protegrity’s talking points has been how far behind legislation for data privacy and security is compared to today’s rapidly accelerating data landscape. What do you think needs to happen – in quantum and AI – for conversations to turn into action?

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