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Developer details prompt injection defenses for .NET AI agents

A developer shared insights into building a robust redaction pipeline for agentic .NET projects, addressing prompt injection vulnerabilities. This pipeline, designed to run before data storage, employs multiple detection methods including regex, heuristics, and contextual models to identify and mask sensitive information. The approach aims to prevent data breaches and security issues by treating redaction as a data concern rather than a presentation one. AI

IMPACT Enhances security for AI agents by providing a practical framework to mitigate prompt injection risks.

RANK_REASON The cluster discusses a specific technical implementation for AI safety, focusing on a practical tool/technique rather than a novel research finding or a major industry release.

Read on Mastodon — mastodon.social →

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Developer details prompt injection defenses for .NET AI agents

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The cluster discusses a specific technical implementation for AI safety, focusing on a practical tool/technique rather than a novel research finding or a major industry release.
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COVERAGE [3]

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    Hello DEV Community! 👋 I want to share the architectural breakthrough behind the latest version of my... # python # opensource # go # ai # software # coding # d

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  3. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Prompt injection is OWASP's LLM01:2025, the top vulnerability in LLM based systems, and yet most agentic .NET projects I review have no redaction pipeline at al

    Prompt injection is OWASP's LLM01:2025, the top vulnerability in LLM based systems, and yet most agentic .NET projects I review have no redaction pipeline at all. They have a SessionStore , they have JsonSerializer , and they have a lot of optimism. This article closes the series…