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Who it's for:
- Data Scientists
- Machine Learning Engineers
- Security Engineers
- DevSecOps Practitioners
- IT Operations Teams
- CISOs
- Solution Architects
MLOps Overview
Release Date: 08/27/2025
- How MLOps encompasses traditional ML, LLMOps, and AgentOps under one unified framework
- The unique security threats that ML systems face and the specialized protection they require
- How stakeholders must collaborate across the four key MLOps stages: design, development, operations, and continuous feedback
- The need for MLSecOps frameworks
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Acknowledgements
Usman Mustafa
Director of Strategic Accounts, Orange Business
Deepak Antiya
Principal, Oracle
Abdul Sattar
Roupe Sahans
DevSecOps Leader
Roupe leads DevSecOps delivery and thought leadership for technology and media clients embracing digital transformation.
Roupe started his DevOps journey in 2016, building containerised microservices on AWS for government platforms. He has since been working with engineers to c-suite executives to embed security and resilience into digital products, secure cloud services, and reduce cyber technical-debt.
Most recently Roupe ha...
Akhil Mittal
Akhil is a distinguished technologist and cyber security expert with over 18 years of global experience. He excels in driving strategic and tactical guidance, providing leadership in cybersecurity initiatives. Throughout his career, Akhil has collaborated closely with CISOs and executive leadership to design and implement security frameworks and software security solutions tailored to meet diverse business objectives. His expertise spans a ...
Rahul Kalva
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