Literal Security

Literal Security

Real-time security scanning for AI-generated content

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Published on Jul 1, 2026
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Subscription from $14.99
Platforms
WebAPIMobile

About Literal Security

Literal Security is the AI security layer for vibe-coded apps. We catch the bugs AI loves to ship hardcoded API keys, missing auth on admin routes, exposed source maps in production, supply-chain attack surface by plugging into every channel the AI writes through (Cursor, Claude Code, Lovable, Replit, Bolt, v0, plus a CLI, VS Code extension, and git pre-commit hook). Findings come back in the same chat turn with concrete remediation code, applied by the AI before the file lands on disk. After deploy, an active probe runs a real security review of the live site catching what write-time can't see: exposed admin routes, leaked credentials in shipped JavaScript, source maps in production, dependency drift. Findings chain back into the write-time loop so the AI sees post-deploy issues while editing. What you get: attack chains with the exact remediation code, not "maybe consider." False positives stay near zero. Setup takes 30 seconds. Free until we catch your first real medium-or-above bug. Solo $14.99 · Startup $49.99 · Business $149.99/mo.

Product Insights

Literal Security provides real-time app and LLM security scanning across web, API, and mobile platforms, specifically designed for software and AI developers utilizing AI-driven coding environments. The subscription service starts at $14.99 per month, offering a free tier until your first real bug is caught.

  • Integrates directly into AI development workflows like Cursor, Claude Code, Replit, and VS Code.
  • Provides write-time feedback with concrete remediation code and runs active post-deploy security probes.
  • Flexible subscription tiers starting at $14.99 with a free tier active until the first major bug is caught.

Ideal for: This tool is ideal for AI developers and software developers who need real-time LLM security, threat detection, and active application patching within their automated coding workflows.

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