Ep. 131 Exploring and Understanding Data
Release Date: 02/20/2024
Federal Tech Podcast: for innovators, entrepreneurs, and CEOs who want to increase reach and improve brand awareness
Connect to John Gilroy on LinkedIn Want to listen to other episodes? The federal government recognizes that threats are multiplying at an exponential level. In fact, in October 2025, CISA released a free vulnerability scanner, and 10,000 organizations have signed up. Today, CISA is at its current capacity. Today, we examine solutions from a successful startup called CrunchAtlas. One of the co-founders, Ben Fabrelle, will share with the audience his experience in threat hunting in the federal government and why he combined with another veteran to form a company that can assist...
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Ep. 281 How Zero Trust Automation Helps Federal Agencies do More with Less Connect to John Gilroy on LinkedIn Want to listen to other episodes? As this interview was recorded, the federal government was in the middle of a shutdown. Hundreds of pundits have given interviews about the politics of the situation; very few have looked at the impact on cybersecurity during a phase of workforce reduction. Today, we sat down with Gary Barlet, the Public Sector CTO at Illumio, to see whether Zero Trust can help the federal government bridge this short personnel gap. Barlet begins by...
info_outlineFederal Tech Podcast: for innovators, entrepreneurs, and CEOs who want to increase reach and improve brand awareness
Connect to John Gilroy on LinkedIn Want to listen to other episodes? Today, we sat down with Chris Wysopal from Veracode to talk about how to leverage the power of AI to increase productivity in federal systems. It seems like every headline you read talks about AI speeding up the process of writing code. However, there may be mixed messages here. Wysopan read some academic reports that talked about vulnerabilities being introduced in human code as well as AI code. Because this has been a concern for a while, He initiated the Gen AI Code Security report. They examined a wide...
info_outlineFederal Tech Podcast: for innovators, entrepreneurs, and CEOs who want to increase reach and improve brand awareness
A recent study from Carnegie Mellon University is titled "AI Agents Fail at Office Tasks Nearly 70% of the Time." Federal agencies are adopting Agentic AI for the efficiency it can deliver. Unfortunately, many do not realize that Agentic AI is prone to operational risks, ranging from technical glitches to legal complications to accidental database deletion. When Agentic AI causes problems at a federal agency, there can be lives at stake. Today, we sat down with Travis Rosiek, Rubrik's Public Sector Chief Technology Officer. During the interview, he explores the federal challenges of...
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Connect to John Gilroy on LinkedIn Want to listen to other episodes? Elastic has been around since 2012 and has been gradually gaining traction in the commercial world. In fact, Elastic has recently signed agreements with Nvidia and Google to improve integration with its distributed search analysis. All this assists with AI search and observability. Today, we sat down with Chris Thompson from Elastic to highlight how commercial success can be applied to the federal world. Looking back at his decades of work with federal agencies, he sees one of the problems in acquisition....
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Connect to John Gilroy on LinkedIn Want to listen to other episodes? MongoDB has spent years earning a formidable reputation in the developer world; today, we will unpack some of its capabilities for project managers and federal leaders so they can understand where MongoDB may fit in their stack. Conventional wisdom is that MongoDB is a flexible open-source database. Although that is true, this does not do justice to some characteristics that will appeal to the federal audience. ONE: An agency may have restrictions on where the cloud is not suitable for storage. Because...
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Connect to John Gilroy on LinkedIn Want to listen to other episodes? Many listeners have become so familiar with AI that they may have assumed it has been around for decades. Today, we sat down with Will Angel from Excella to explore the application of AI to federal technology from a more nuanced perspective. We dive into three main aspects of AI: challenges of integrating AI services, Model Context Protocol, and security considerations with agentic systems. Challenges: No company has grown as fast as ChatGPT; in fact, it is the fastest-adopted consumer application...
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Connect to John Gilroy on LinkedIn Want to listen to other episodes? Sometimes, the plow must go deeper. Current approaches to Zeer Trust implementation can leave gaps in security. Today, we sat down with Akamai’s Mike Colson to discuss the concept of combining Identity Credential Access Management with Least Permissive Trust. Setting the stage, Mike Colson details some of the challenges in the varying kinds of Zero Trust that are being applied in the Federal Government. The standard way of implementing ICM can result in assigning more resources than necessary, leading to...
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Connect to John Gilroy on LinkedIn Want to listen to other episodes? The impact of AI in software development in the federal government is so pervasive that, in July of 2025, the President of the United States released a White House AI Action Plan. Today, we sat down with Bob Stevens from GitLab to put this development into perspective, examine some use cases, and suggest methods that federal agencies can use to prepare for this technological shift. What precipitated the initiative is the recognition that change is occurring so rapidly in the world of software development...
info_outlineFederal Tech Podcast: for innovators, entrepreneurs, and CEOs who want to increase reach and improve brand awareness
Fraud rates in the public sector are estimated at 20%, compared to 3% in the private sector. Some estimate the loss to the federal government at over $500 billion. Today, we sat down with Haywood Talcove, the CEO of LexisNexis Special Services. He presents listeners with shocking statistics on fraud, shares personal stories, and offers suggestions to help taxpayers overcome this loss of money. FRAUD Talcove begins by noting the fraud rate in the federal government before COVID was a paltry 0.1%. No news there. However, during the COVID-19 pandemic, federal employees were legally obligated...
info_outlineA recent study by Deloitte indicates that 67% of executives struggle with data analytics. The knight in shining armor that offers a rescue is artificial intelligence.
Today’s interview pours the promise of artificial intelligence into both ends of the spectrum: qualifying data sets that are being used and, subsequently, producing explainable results.
The headline overview of artificial intelligence involves writing a report by ChatGPT. Although that may be true, the article will be derivative and will not move the ball intellectually.
You will hear Kyle Rice discuss how Virtualitics can use artificial intelligence methods to look at data sets that are being investigated. Once those libraries are produced, then they can take artificial intelligence to look at making conclusions.
When analysis is approached from that point, you eliminate the guess-and-test method. That is to say, there is a good chance that the hypotheses that are created by humans. In other words, you will not spend precious time trying to answer the wrong questions.
Virtualitics poses that a rational way to generate data sets can give users the ability to form elusive data-derived decisions.
During the interview, Kyle describes the approach as “intelligent data exploration.” The added value of this approach is defensibility. For example, if a data scientist produces a conclusion, their sources can be questioned. Instead of pointing to a black box in the corner, a team can produce explainable artificial intelligence.
Interested in reading more from Virtualitics? Why AI’s Success Depends on Making it More Explainable and Conversational
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