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Developer designs prompt injection gateway for LLM agents

By PulseAugur Editorial · [3 sources] ·

A developer encountered persistent issues with prompt injection in LLM-based agent systems, leading to unintended behavior influenced by external data. To address this, they designed a gateway system that strictly separates user instructions from data inputs. This approach aims to prevent malicious or unintended data from altering the agent's core directives and maintain control over its operations. AI

IMPACT This approach could improve the reliability and security of LLM-based agent systems by mitigating prompt injection risks.

RANK_REASON Developer describes a technical solution to a common problem in LLM agent systems.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

Developer designs prompt injection gateway for LLM agents

COVERAGE [3]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    🤖 Prompt injection broke every agent system I built so I designed a gateway that separates instructions from data While building agent-based systems with LLM to

    🤖 Prompt injection broke every agent system I built so I designed a gateway that separates instructions from data While building agent-based systems with LLM tool use, I kept running into the same failure mode: External content (webpages, files, API responses) would eventually in…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

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