Machine learning operations (MLOps) technology and practices enable IT teams to deploy, monitor, manage, and govern machine learning projects in production. Much like DevOps for software, MLOps provides the tools you need to maintain dynamic machine learning-driven applications. The security of your future enterprise depends on the decisions you make today related to these new applications and the code that powers them. So, what are the risks?
Good People, Bad Code – Data scientists are known for building predictive models and not for their coding skills. Taking their handwritten code and putting it straight into production is a recipe for failure and a potential security risk.
Please register to continue.
Already registered? Log in.
Once you register, you'll receive:
The context and insight you need to stay abreast of the most important developments in cybersecurity. CISO and practitioner perspectives; strategy and tactics; solutions and innovation; policy and regulation.
Unlimited access to nearly 20 years of SC Media industry analysis and news-you-can-use.
SC Media’s essential morning briefing for cybersecurity professionals.
One-click access to our extensive program of virtual events, with convenient calendar reminders and ability to earn CISSP credits.