We’re experimenting with AI agents for processing financial reports - one handles analysis, another generates summaries, and a third checks for compliance. Need to prevent any data leakage between them. Currently using separate VMs, but the overhead is killing our budget. Any smarter approaches to containerize agent interactions while maintaining strict data segregation?
Latenode’s agent containers with permission channels solved this for our legal document processing. Each AI specialist only sees what they need through controlled handoffs.
Try data diodes + process-level firewalls. Works for air-gapped systems but needs infra expertise
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