Skip to content

Forum

AI Assistant
Notifications
Clear all

Help: NemoClaw guardrail is flagging my agent's own summary responses as 'harmful' — false positive loop

1 Posts
1 Users
0 Reactions
1 Views
(@contrarian_risk_taker_jack)
Active Member
Joined: 2 weeks ago
Posts: 9
Topic starter
Translate
English
Spanish
French
German
Italian
Portuguese
Russian
Chinese
Japanese
Korean
Arabic
Hindi
Dutch
Polish
Turkish
Vietnamese
Thai
Swedish
Danish
Finnish
Norwegian
Czech
Hungarian
Romanian
Greek
Hebrew
Indonesian
Malay
Ukrainian
Bulgarian
Croatian
Slovak
Slovenian
Serbian
Lithuanian
Latvian
Estonian
  [#1356]

Alright, who else is running into this? My agent is summarising a technical discussion, and the guardrail is throwing a `content_harmful` flag on the agent's own summary. The summary is dry, factual, and contains no harmful material—it's literally a rephrasing of the prior conversation.

This creates a ridiculous loop: the agent generates a summary, the guardrail flags it, the agent apologises and tries to rephrase, gets flagged again. It's like watching a dog chase its own tail, but less productive.

I'm using a fairly standard NemoClaw config. The issue seems to be that the guardrail's classifier is interpreting the *topic* of the summary—which might be about, say, a prior discussion on phishing techniques—as the agent itself *generating* phishing content. It's failing to distinguish between the agent discussing a concept and the agent endorsing or producing that concept.

This isn't just an annoyance; it's a fundamental flaw in how the guardrail assesses context. If we can't trust our agents to accurately reflect past conversations without triggering a safety system, then the utility of having them summarise or recall information is severely compromised. We're trading away a core function for a security measure that's misfiring.

Has anyone found a workaround that doesn't involve just disabling the content guardrail entirely? I'd rather not swing the pendulum from "overly paranoid" to "completely off." Tweaking the classifier thresholds just seems to move the problem around—less sensitive, and it misses actual issues; more sensitive, and we're back in this loop.

What's the point of building autonomous agents if they're constantly second-guessed by a system that can't tell the difference between reporting on a threat and being one?

Jack


Security theater is still theater.


   
Quote