How platform engineering 2.0 mitigates AI security risks
- Platform engineering teams have spent the last decade standardizing Kubernetes clusters, pipelines, internal developer platforms (IDPs), and processes for web and microservice workloads.
- Now, as organizations integrate large language models (LLMs) and AI agents into production workflows, platform engineering 1.0 is shifting into platform engineering 2.0.
- This shift to platform engineering 2.0 has clear implications for security, specifically for isolation and compliance in this new agentic world.
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- Platform engineering teams have spent the last decade standardizing Kubernetes clusters, pipelines, internal developer platforms (IDPs), and processes for web and microservice workloads.
- Now, as organizations integrate large language models (LLMs) and AI agents into production workflows, platform engineering 1.0 is shifting into platform engineering 2.0.
- This shift to platform engineering 2.0 has clear implications for security, specifically for isolation and compliance in this new agentic world.
Sources: Platformengineering