Security is safety, and safety is for everyone. Lictor proudly stands with the LGBTQ+ community. Happy Pride.

Open-source security suite · Apache-2.0

Security audit for anything you built with AI.

One suite, three pillars. The bodyguard your AI didn’t ship with.

Safety infrastructure for the AI agent era: secure the AI you use, secure your company, and scan the world for the bugs AI assistants leave behind. Plain English, right where you code, in under a minute, before you ship.

Apache-2.0 No telemetry 0 disclosures ever exploited 20-yr security engineer

Works with Claude Code Cursor OpenClaw Codex Antigravity local models (Hermes) Same tools, any agent, zero cloud tokens on local.

~/my-app · claude code
# in your project, inside Claude Code or Cursor:
/lictor-security-check

CRITICAL  Supabase service key is in bundle.js:1247
          anyone with your URL has full database write access.
HIGH      /api/users returns every row to any logged-in user.
MED       Stripe webhook isn’t signature-checked.  (+5 more)

✓ 142 files scanned in 48s · report saved to SECURITY-AUDIT.md

The platform

One suite. Three pillars.

Lictor is one engine (Core) and one dashboard (Guardian), pointed at three jobs: the AI you use, the company you run, and the world you ship into.

For AI Shipped

Lictor for AI

Secure the AI you use. Drops into Claude Code, Cursor, Codex, Antigravity and the top-10 AI clients. The bodyguard your assistant didn’t ship with.

  • Shield audits any deployed AI-built site you visit
  • Sentinel blocks prompt injection + secret leaks at runtime
  • Airlock isolates what your agent can touch
  • Skills + VS Code: the 60-second audit, everywhere you build
Install
For Business Early access

Lictor for Business

Secure the company. Two products: an isolated AI workspace your team can’t leak through, and an automated internal pentest priced for an SMB.

  • Isolation OS boots a USB into an air-gapped AI workspace
  • Internal Check: the $20k pentest engagement at SMB price
  • Your own AI accounts inside; your network stays invisible
  • Same Core engine, same plain-English findings
For Business
Patrol Scanning now

Lictor Patrol

Scan the world. External attack-surface recon that finds the bugs AI assistants leave behind, at internet scale.

  • Scanning the public internet now for AI-built apps leaking live keys
  • Finds leaked secrets, exposed databases, open auth, takeover-able subdomains
  • A real track record: dozens of live exposures disclosed, none ever exploited
  • Ethical disclosure only. Categories and counts, never a victim’s name
Scan a URL

Under all three: one engine (Core) and one dashboard (Guardian).

Founding supporters

Be one of the first 100 people to back Lictor.

Open-source security audits for AI-built apps. Apache 2.0. Built by a 20-year security engineer who got tired of watching Lovable/Bolt/v0 apps leak Firebase keys on day one.

/ 100
Star on GitHub, 4 seconds

Takes 4 seconds. Costs nothing. It’s the difference between “interesting project” and “trusted by thousands.”

Founding supporters · the wall

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Live from the GitHub stargazers API · no auth needed · full list →

Flagship · early access

Boot AI. Touch nothing.

Lictor Isolation OS is a USB stick you boot into a clean, isolated workspace. Gemini, ChatGPT and Claude with your own accounts, full power, and zero access to your company network. Pull it out, and there’s no trace.

Step 01 · Boot

Plug in. Power on.

Boot the stick into a hardened, ephemeral OS, separate from the machine’s disk, the domain, and the company LAN.

Step 02 · Log in

Your AI, your accounts.

The top AI clients come pre-installed: Claude Code, Codex, Cursor, Gemini, Antigravity, ChatGPT. Sign in with your own accounts; nothing to configure.

Step 03 · Isolated

Reaches the model. Not you.

The workspace can talk to the AI providers and nothing else. Your domain, prod, and files stay invisible. Air-gap by construction.

isolation-os · network policy
api.anthropic.com      reachable
api.openai.com         reachable
10.0.0.0/8             blocked
192.168.0.0/16         blocked
default gateway        blocked

The boundary is physical, not a policy you hope holds. We proved it in the red-zone build: the AI reaches api.anthropic.com, but every path to a private network (10.x, 192.168.x, your gateway) is blocked.

The model: pay once, download the image, boot it. No install, no setup. Available today as a container red-zone (open source); the bootable USB OS is in early access.

/lictor-security-check

One slash command. Eleven agents. Plain English.

Lictor ships as a Claude Code skill suite. Install once, run from any project. No dashboard to learn, no jargon to translate, no “contact sales” banner.

01

48 checks

The full OWASP Top 10 for Web, API, Mobile & LLM, plus CWE Top 25. See all 48 →

02

Plain English

No “information disclosure vulnerability,” just “anyone can read your customer list.”

03

Three siblings

Run /lictor-explain, /lictor-fix-it, /lictor-rotate.

04

100% local

No token, no signup, no telemetry, no per-seat pricing.

Install in 60 seconds

Install

Install for your tool.

Lictor runs everywhere AI-built apps get built. Every option is free, open source, and runs entirely on your own machine.

git clone https://github.com/Raffa-jarrl/Lictor-AI.git ~/Code/lictor

New: one-command installers for the top 5 AI agents, and triage runs on local models (Hermes / Qwen) at zero cloud-token cost.

01 · Claude Code

Claude Code

4 slash commands. Then run /lictor-security-check.

bash ~/Code/lictor/skills/install.sh
02 · Cursor

Cursor

Project rules + MCP. Then @lictor scan in chat.

bash ~/Code/lictor/skills/install-cursor.sh
03 · OpenClaw · new

OpenClaw

MCP server, usable by any agent, including Hermes/Qwen-backed.

bash ~/Code/lictor/skills/install-openclaw.sh
04 · Codex · new

OpenAI Codex

Registers in ~/.codex/config.toml. Then ask it to scan.

bash ~/Code/lictor/skills/install-codex.sh
05 · Antigravity · new

Antigravity

Registers in Antigravity’s MCP config. Then ask it to scan.

bash ~/Code/lictor/skills/install-antigravity.sh

One scanner, same checks, across the top 5 AI agents, one command each. Any other MCP host (Windsurf · Cline · Continue.dev) → point it at scripts/lictor-mcp.py. Also ships a standalone CLI (lictor-local.py) and the Lictor Shield browser extension.

The suite

When the audit isn’t enough.

Three more layers when your project starts handling real users: web, CLIs, browser extensions, MCP servers, desktop apps, serverless functions, bots, CI/CD pipelines. Same engine, ships everywhere at once.

Lictor Shield Free · Chrome extension

Audits any deployed AI-built site you visit. Catches the issues before you sign up. Local-only, so no URL ever leaves your browser.

Lictor Sentinel Free · npm + PyPI

For when your AI-built app calls OpenAI / Anthropic at runtime. Blocks prompt injection + secret leaks: 32 injection patterns, 15 secret patterns, Luhn-validated card detection. Never ships raw input/output, only 16-char fingerprints.

import { wrap } from "@lictor/sentinel";

const client = wrap(new OpenAI(), {
  preflight:  ["prompt-injection", "secrets-in-input"],
  postflight: ["pii-leak"],
});

// Same call site. Same response shape.
// Sentinel intercepts pre + post.

Lictor Guardian Free preview · 90 days

For when your AI-built app gets its first customer who asks “are we SOC 2 safe?” Per-incident timeline, audit-log export for SOC 2 / GDPR Article 32, Slack webhook for criticals, append-only log enforced at the database level.

The crew

The crew that runs the audit.

Most AI security tools are a black box: input goes in, findings come out. Lictor’s 11 specialist agents are named, transparent, and surface their work. You see which agent found what, and why.

Wolf Orchestrator

Reads your project, plans the audit, hands work to the right specialist. Surfaces a daily briefing so you always know what the crew did and what’s next.

Owl Quality gate

Scores every finding against three audience personas before it ships. A finding less than 6/10 doesn’t make the report.

Hawk Pattern scout

Hunts the bug shapes vibe-coders ship most: RLS gaps, env-var leaks, unsigned webhooks, hallucinated dependencies.

Lyrebird Voice keeper

Translates every finding into plain English. Not “information disclosure vulnerability,” but “your /api/users page gives out the customer list to anyone.”

Bee Fix designer

For every issue, drafts the smallest possible fix and the exact file + line to put it in. One paragraph, one diff, one rotated key.

Mantis Audit auditor

Weekly reviewer that grades the crew’s own work. Catches false positives, drifting voice, missed patterns.

Plus five more: Octopus (engineering), Mongoose (currency tester), Bat (hook crafter), Starling (virality intel), Cuttlefish (aesthetic curator). Every agent is a markdown file you can read. See the SOULs

Why now

Why now.

40 to 62% of AI-built code ships vulnerable

91.5% of vibe-coded apps had at least one AI-hallucination flaw in Q1 2026. Recent incidents exposed tens of thousands of users via simple RLS misconfigurations. 8 million people use these platforms. Most of them don’t know what an “RLS policy” is.

Enterprise tools weren’t built for you

Snyk, Veracode, Checkmarx: they all assume a 5-developer team and a CISO who speaks SOC 2. Lictor assumes you, an AI assistant, and an app you shipped over a weekend.

Plain English isn’t a feature. It’s the product

Every Lictor finding is written as “your X does Y, anyone can do Z.” No CVE numbers in the headline. No CVSS scores. If the finding can’t be explained to a non-technical co-founder, Lyrebird rewrites it.

Open source so trust is verifiable

Apache 2.0. Every check is a markdown file you can read. Every agent has a SOUL.md you can fork. No proprietary engine, no black box. Read it. Run it. Fork it. Trust comes from the code, not from a certificate.

FAQ

Questions before you scan.

The things people actually ask before running a security check on an app they built with AI.

Q.01Is my AI-generated app secure?
Usually not on the first ship. Industry research finds 40 to 62% of AI-generated code contains a vulnerability. Most often it’s an API key exposed in the browser bundle, or a database with no access rules. It’s worth running a quick check before you go live.
Q.02How do I check if my Lovable, Bolt, v0 or Cursor app has security holes?
Run Lictor’s free /lictor-security-check inside Claude Code (or via MCP in Cursor, Windsurf, Cline). It walks your project, runs 48 checks tuned to the bugs AI assistants ship most — mapped to the full OWASP Top 10 for Web, API, Mobile and LLM apps, plus the CWE Top 25 — and writes a plain-English report in about a minute. No signup.
Q.03Is Lictor free?
Yes. Apache-2.0, open source, no per-seat pricing and no “contact sales.” The audit, the Shield browser extension, and the Sentinel SDK are all free.
Q.04Does Lictor send my code anywhere?
No. The audit runs 100% locally inside your AI coding tool, with no token, no signup, no telemetry. Your code never leaves your machine, and every check is a markdown file you can read.
Q.05What does Lictor check for?
Leaked API keys and secrets, exposed databases (missing Supabase/Firebase row-level security), unprotected API routes, client-side-only auth, over-permissive CORS, and prompt-injection surface in AI features. These are the failure modes AI-built apps ship most.
Q.06How is Lictor different from Snyk or Aikido?
Those are built for dev teams with a CISO and a budget, and they run after you deploy. Lictor is free, speaks plain English (no CVSS scores), and runs right where you code, before you ship, so a solo founder can use it without a security background.
Q.07What’s the most common security bug in vibe-coded apps?
Missing row-level security on Supabase or Firebase, which lets anyone read everyone’s data, plus API keys hardcoded into the front-end bundle. Both are easy to find from the outside, so Lictor flags them first.
Q.08Can Lictor fix the issues, not just find them?
Yes. Run /lictor-fix-it and it walks each finding one at a time, shows the exact change, and applies it with your approval. For leaked keys, /lictor-rotate walks you through rotating them at the provider.

Who’s building this

Who’s building this?

Twenty years of writing security reports that nobody outside compliance teams could read.

Lictor is built by a 20-year cybersecurity engineer based in Israel. Twenty years of CISO advisory at Fortune 500 and security architecture for venture-backed startups.

Lictor exists because the people shipping the most software right now don’t have a CISO. Solo founders building an AI-generated SaaS on Saturday, indie hackers prototyping with an AI assistant at midnight, designers shipping an AI-built backend before their morning coffee. They have themselves, an AI assistant, and 48 hours to ship something. They need security tooling that speaks plain English and doesn’t require a sales call.

Built by a 20-year cybersecurity engineer · Israel

Coming Q1 2027

Lictor Sentry

AI threat protection for high-value individuals. iOS VPN profile (in development) that watches outbound AI API calls from your phone, for executives, journalists, founders whose AI assistant has access to sensitive data.

We’ll only email you when Sentry is ready to install. No newsletter.