Cybersecurity Dive January 6, 2025
Experts say MLOps will bridge the gap between development and operations, creating room for the inclusion of security and privacy practices, too.
For as much as people talk about the impact of artificial intelligence in the workplace, the overall AI and machine learning industry is still maturing.
Generative AI is going to change how organizations create, share and store data and will change the narrative around collaboration, Docker CEO Scott Johnston told the audience at JFrog’s SwampUp 2024 last fall.
However, just as companies added DevOps and DevSecOps when software and app building moved in house, organizations need to follow a similar approach to ensure the security of AI development. This has led to the rise of MLOps and MLSecOps.
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