How to Prevent AI Agents From Mixing Client Data
Prevent cross-client AI data leaks with scoped retrieval, audience-aware permissions, safe memory review, revocation checks, and practical isolation tests.
Phasoric Journal articles tagged ai agents.
Prevent cross-client AI data leaks with scoped retrieval, audience-aware permissions, safe memory review, revocation checks, and practical isolation tests.
Your AI client connects through MCP but cannot find known notes. Diagnose authentication, mappings, Context Scope, local-only data, provider permissions and search.
An agent that can draft an email is useful. An agent that sends that email, changes customer records, or modifies production files without a reliable authorization boundary introduces a different class of risk. Approval-first automation keeps speed w
Prompt engineering tells an assistant what to do. Context engineering decides which information the assistant should be allowed to use, where that information came from, and whether it still applies. As agents handle longer tasks, this second discipl
AI models keep getting smarter, but every new session can still feel like starting over. Durable project context may be the missing layer between powerful AI and useful long-term collaboration.