AI Agent Security: Preventing Prompt Injection and Data Leaks
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AI Agent Security: Preventing Prompt Injection and Data Leaks

Autonomous AI agents expand the attack surface. Here are the security patterns every enterprise must implement before deploying agents in production.

The uFlo.ai TeamMarch 5, 20267 min read

The New Attack Surface

AI agents that interact with external data, APIs, and users introduce novel security risks. Prompt injection, data exfiltration through agent tool use, and unauthorized escalation are real threats.

Essential Security Patterns

  • Input Sanitization: Validate and sanitize all inputs before agent processing
  • Tool Scoping: Limit agent tool access to minimum required capabilities
  • Output Filtering: Screen agent outputs for sensitive data before delivery
  • Audit Logging: Record every agent action, decision, and tool invocation
  • Sandboxing: Isolate agent execution environments from production systems

Security isn't optional for agentic AI. It's the foundation that makes autonomous operation trustworthy.

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