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Ep. 253 Managing Staff Cuts Without Compromising Code Security in Federal IT
Manage episode 490708290 series 3610832
Вміст надано The Oakmont Group and John Gilroy. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією The Oakmont Group and John Gilroy або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.
Connect to John Gilroy on LinkedIn https://www.linkedin.com/in/john-gilroy/
Want to listen to other episodes? www.Federaltechpodcast.com
There is a whirlwind of change in federal technology. For example, Federal News Network has reported that 25% of the IRS technology staff have left. Additionally, funding has been reduced, data stores are increasing, and we are all trying to understand the impact of Artificial Intelligence.
Today, we sat down with Phoebe Nerdahl and Sayed Said from SNYK. They offer solutions to address the challenges of changing technology in this environment.
The approach from SNYK is to start at the beginning of the code development process, what is called a shift left.
They discussed the need for a secure framework for AI adoption, leveraging Snyk's proprietary database and security research team to enhance code security.
The conversation also touches on the evolving definition of AI and its integration into various applications.
Snyk's AI Trust Platform aims to protect against insecure AI-generated code, emphasizing continuous security monitoring and automation. They have a vulnerability database, which enables them to review code for potential issues. Further, their platform can automate this needed remediation.
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