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Artificial Intelligence can dazzle people to the point where they lose focus on the objectives of the federal agency.

In today’s interview, Adam Lurie from Knexus begins by discussing a corporate strategy that combines research and innovation with engineering. This approach has been consistent over decades of serving the federal government.

One stellar example of this fusion was their success in the $919 million 10-year Supply Chain Risk Illumination Professional Tools and Services (SCRIPTS) Blanket Purchase Agreement from the GSA.

One of the challenges in “applied” AI is the data itself. Often, particularly in the federal government, there are strict rules governing the handling of data. We have all heard about the encryption of data at rest and data in transit. Given this limitation, it may be challenging to establish an iterative process that optimizes security and reliability.

The answer from Knexus is to use synthetic data to emulate an actual sensitive federal data set. That way, several methods can be used to rapidly identify foreign influence, monitor vendor integrity, and visualize complex risk management scenarios.

This innovation enables developers to optimize the security of a supply chain, taking into account variations that incorporate modern technologies and adapt to emerging threats.

A key partner in this creative approach is Google. Knexus was recently named 2025’s Google Cloud Business Application Partner of the Year for Government.

Retaining security while innovating will be the key to applying AI to solve federal business needs now and in the future.

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