AI Security Guard

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Overview

Real-time security scanner for agent inputs (MCP, web, docs, email) that detects prompt injection and exfiltration and returns verdicts.

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AI Security Guard is a security scanning service for AI agents that analyzes content before it is processed to detect threats like prompt injection, credential theft, data exfiltration attempts, social engineering, and malicious payloads. It supports scanning many input types agents commonly ingest, including documents (PDF/DOCX), web and API responses (HTML, webhooks), MCP tool calls and skills, email and calendar invites (RFC 5322, ICS), and plain text. The service returns deterministic verdicts with confidence, severity, findings, and an actionable advisory (e.g., proceed, review, block), and offers optional follow-up Q&A about detections. Pricing is pay-per-scan based on content size, paid via x402 USDC micropayments, with separate rates for document extraction, preflight validation, and advisory questions.

Autonomy level

58%

Reasoning: AI Security Guard earns a 58/100 autonomy score because it appears to perform real multi-step analysis automatically, including preprocessing, fast scan, deep scan, and deterministic verdict routing without requiring a human to manually inspect each item. It loses points because it behaves more like an embedded security API for other agents than a ...

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Some of the use cases of AI Security Guard:

Scanning agent inputs for prompt injection, jailbreaks, and instruction override before ingestion.
Detecting credential exposure and exfiltration attempts in content, tool outputs, or messages.
Preflighting URLs and documents to catch encoded payloads (e.g., URL params, base64, hidden text).
Adding a deterministic security verdict layer (proceed/review/block) to agent pipelines and MCP flows.

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