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clawsmith.com/idea/sanitize-external-inputs-before-ai-triage-bots-execute-them
IdeaCompetitiveCLIOPEN-SOURCESECURITYLive

A pre-processing proxy that sanitizes external inputs before AI triage bots can execute them as instructions

AI-powered CI/CD workflows (GitHub Actions, GitLab CI) now use LLM agents to triage issues, review PRs, and run automated tasks. But external inputs like issue titles, PR bodies, and comments flow directly into these agents without validation. The Clinejection attack proved this is not theoretical: a single crafted GitHub issue title compromised 4,000 developer machines by hijacking an AI triage bot into exfiltrating npm credentials. This tool sits between external input sources and AI agents, stripping prompt injection patterns, validating input schemas, and enforcing action-scope limits before any LLM processes the content.

Demand Breakdown

HN
632

Gap Assessment

CompetitiveMultiple tools exist but differentiation opportunities remain

4 tools exist (Aikido Security, Docker MCP Gateway, GitHub Agentic Workflows, Prompt Security) but gaps remain: No real-time input sanitization proxy that sits between webhooks and AI agents. Detection-only, not prevention; Only covers repository isolation after the agent starts. Does not prevent the initial prompt injection from triggering code execution or credential exfiltration.

Features4 agent-ready prompts

Input sanitizer that strips prompt injection patterns from GitHub issue titles, PR bodies, and comments before forwarding to AI agents
Action-scope enforcer that limits what AI triage bots can do after processing external input, blocking credential access and package publishing
Credential rotation trigger that detects when AI agents access secrets unexpectedly and auto-rotates compromised tokens
Workflow security scanner that audits GitHub Actions YAML for over-permissioned AI agent configurations and flags allowed_non_write_users wildcards

Competitive LandscapeFREE

ProductDoesMissing
Aikido SecurityIaC scanning for CI/CD pipelines, surfaces insecure patterns like executing unvalidated AI output or mixing untrusted input into promptsNo real-time input sanitization proxy that sits between webhooks and AI agents. Detection-only, not prevention
Docker MCP GatewayOne-repository-per-session isolation policy for AI agents making GitHub API calls, blocks cross-repo access after first callOnly covers repository isolation after the agent starts. Does not prevent the initial prompt injection from triggering code execution or credential exfiltration
GitHub Agentic WorkflowsIsolated container runtime with controlled egress, safe outputs MCP server buffers writes until agent exitsOnly works within GitHub's own infrastructure. Third-party AI triage bots, custom agent workflows, and self-hosted CI/CD are not covered
Prompt SecurityEnterprise-grade prompt injection defense for production LLM applications, real-time detection and blockingFocused on production app endpoints, not CI/CD pipeline AI agents. No GitHub Actions integration or workflow YAML scanning

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