Navigating the Future of Agentic Systems in AI: Key Considerations
In the rapidly evolving world of AI, teams are increasingly deploying agentic systems capable of executing real-world tasks, such as database writes and internal API calls. However, as we embrace this technology, critical questions arise regarding safety and enforcement:
- Enforcement Points: What safeguards prevent agents from bypassing tool calls?
- Permission Checks: Are permissions enforced within each tool, at a gateway, or through a centralized policy service?
- Identity & Authorization: How do we manage agents acting on behalf of users?
- Logging Practices: Is decision logging separate from execution logs to ensure accountability?
- Safe Rollouts: How do you transition from audit-only to full enforcement without compromising safety?
- Identifying Failure Modes: Which issues—policy bugs, agent hallucinations, or prompt injection—pose the biggest risks?
Let’s share insights on best practices in platform, security, and infrastructure. Comment below with your experiences and strategies! 🔍💬 #AI #AgenticSystems #TechSafety
