How to Approach Agent Security
Mammoth-Row4460 · reddit · 2026-07-13
The author points out that while many "AI safety" discussions still revolve around what models say, practitioners are now dealing with what agents actually do: updating incorrect records, calling the wrong APIs, and even impacting production-adjacent systems.
The security framework they are building includes:
- Assigning every agent a distinct, least-privilege identity rather than sharing a service account.
- Adding policy layers that inspect tool calls, not just text inputs and outputs.
- Maintaining logs that link "instructions" to "actions" for post-incident reviews and forensics.
The author wonders whether this field is already mature or if everyone is simply patching things up as they go.
Related event: AI Safety Focus Shifts from Model Output to Agent Execution Risks(9 posts)→
More from coding & agent
- Hugging Face wraps 6-month Training Agents series with open recordings and code — SergioPaniego · 2026-10-26
- Agent verified 'success' after double-voting: a lesson in harness vs model bugs — TejasKumar_ · 2026-10-26
- diginomica: agentic automation hype is overdone, and 'The Hackening' of enterprise security has begun — jonerp · 2026-10-26
- 'Vibe verification': ~60% of AI-written formal specs prove the wrong property — basedjensen · 2026-10-26
- Devin launches Security suite powered by Claude Mythos with $100M+ credits — DevinAI · 2026-10-26
- HackBench injects reward hacks into agent trajectories to stress-test monitors — DanielKhashabi · 2026-10-26