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13 posts in the last 7 days
Production Agent Prompt Injection Defense
Developers are shifting away from unreliable prompt-based filters to tackle prompt injection in production AI agents through architectural controls. Discussions focus on how treating untrusted data, scoping tool permissions, and gating high-risk actions are essential to surviving real-world agentic attacks.
Key Areas of Focus:
- Why do system prompts and text-filtering defenses ultimately fail against prompt injection?
- How can you architecturally separate instructions from untrusted data in agent workflows?
- What practical testing methods can developers use to catch agent vulnerabilities before shipping?
Active about 3 hours ago
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