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aifence

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Protect sensitive files and prompts from AI coding tools

aiclaudecopilotcursordeveloper-toolssecretssecurity
Versions collected1
Direct dependencies3From release 0.4.0
Last observed21 Oct, 10:40 UTC

README

Version 0.4.0 documentation
aifence

PyPI Python Downloads License

Two kinds of secret leakage happen in AI coding sessions:

  1. File reads — the AI tool reads your .env, SSH keys, or credentials from disk
  2. Prompt leakage — you accidentally paste a token into the chat

aifence blocks both.

Before and after aifence init

$ aifence init

Scanning for sensitive files...
  Found: .env, config/secrets.yaml, certs/server.pem, .npmrc

  Claude Code (detected):
    ✓ permissions.deny — 26 Read rules added
    ✓ sandbox.denyRead — 26 patterns added
    ⚠ Sandbox not enabled — run /sandbox in Claude Code for OS-level Bash protection

  Cursor (detected):
    ✓ .cursorignore — 26 patterns added

  Copilot (not detected):
    ✓ .copilotignore — 26 patterns added

$ aifence prompt-guard install

Installing prompt-guard hooks (global: ~/.claude/settings.json) ...
  ✓ Hooks installed: UserPromptSubmit, PreToolUse, PostToolUse

Install

pipx install aifence

Or with pip:

pip install aifence

Usage

# Protect your workspace files from AI file reads
aifence init

# Protect your Claude Code prompts from accidental secret leakage
aifence prompt-guard install

# Audit only — no files modified
aifence scan

Part 1 — File protection (aifence init)

The problem

AI coding tools can read any file your user account can access. Most developers have .env files, SSH keys, and credentials sitting in their project directories.

  • Claude Code can read files via its Read tool and via cat .env in Bash
  • Cursor indexes files for AI context automatically
  • Copilot Agent mode runs shell commands with full file access
  • Gemini CLI has no file access restrictions at all

What's generated

ToolWhat's generatedProtection level
Claude Codepermissions.deny (Read rules) + sandbox.filesystem.denyReadFull — OS-level when sandbox enabled
Cursor.cursorignorePartial — blocks AI reads, not shell
Copilot.copilotignorePartial — completions only, not Agent mode
Windsurf.windsurfignorePartial — enforcement depth unverified
Gemini CLINothingNone — no mechanism exists

Claude Code: the full picture

Claude Code is the only tool with OS-level protection via its sandbox. aifence generates two layers:

  1. permissions.deny — blocks the Read tool from accessing sensitive files
  2. sandbox.filesystem.denyRead — blocks all processes (including cat, grep, python) from reading those files at the OS level (Seatbelt on macOS, bubblewrap on Linux)

Enable the sandbox yourself: run /sandbox in Claude Code. aifence adds the rules; enabling is your decision.

Default protected patterns

.env, .env.*, *.pem, *.key, *.p12, *.pfx, *.jks, *.keystore,
credentials, credentials.*, secrets.json, secrets.yaml, secrets.yml,
.secrets, .npmrc, .pypirc, id_rsa, id_ed25519, id_ecdsa,
service-account*.json, *.tfvars, *.tfvars.json, kubeconfig,
.netrc, token.json, .htpasswd

Part 2 — Prompt guard (aifence prompt-guard)

The problem

Even with file protection in place, a single accidental paste — a .env dump into the chat, a curl command with a live Bearer token, a stack trace containing a Stripe key — sends credentials directly to the AI provider's servers.

How it works

aifence prompt-guard install wires three Claude Code hooks that run before any data leaves your machine:

HookWhat it does
UserPromptSubmitScans every prompt. Blocks and asks you to resubmit if a secret is found.
PreToolUseRedacts secrets from tool inputs (Bash commands, file writes, web fetches) before execution. The tool still runs — with [REDACTED:aws-access-key] in place of the real value.
PostToolUseWarns Claude not to repeat secrets that appeared in tool output (e.g. aws configure list).

What gets detected

DetectorExamples caught
aws-access-keyAKIAIOSFODNN7EXAMPLE
aws-secret-keyAWS_SECRET_ACCESS_KEY=wJalrXUtn...
github-tokenghp_, gho_, ghs_, github_pat_
private-key-pem-----BEGIN RSA PRIVATE KEY-----
jwt-tokeneyJ... three-part tokens
stripe-keysk_live_, pk_live_
anthropic-keysk-ant-api03-...
openai-keysk-proj-...
gcp-api-keyAIzaSy...
pypi-tokenpypi-AgEI...
slack-tokenxoxb-...
azure-storage-keyDefaultEndpointsProtocol=https;AccountName=...;AccountKey=...
bearer-tokenAuthorization: Bearer <token>
db-connection-stringpostgresql://user:pass@host/db
basic-auth-urlhttps://user:pass@host
private-key-assignmentSECRET_KEY = "...", api_secret = "..."

Custom rules

No code changes or reinstall required. Add your own patterns — or silence noisy built-ins — in ~/.aifence/prompt_guard.toml:

# Silence a built-in that causes false positives
disable = ["jwt-token"]

# Add a company-specific secret pattern
[[rules]]
id = "vault-token"
description = "HashiCorp Vault service token"
pattern = '''hvs\.[A-Za-z0-9_-]{90,}'''

Manage via CLI:

aifence prompt-guard rules list
aifence prompt-guard rules add --id doppler-token --description "Doppler token" --pattern "dp\.st\.[A-Za-z0-9_-]{40,}"
aifence prompt-guard rules disable --id jwt-token
aifence prompt-guard rules enable  --id jwt-token
aifence prompt-guard rules remove  --id doppler-token

Fail-closed design

  • 4-second internal timeout fires before Claude Code's 5-second kill — ensures the hook exits with code 2 (block) rather than silently timing out
  • Any unhandled exception exits 2 — a crash never degrades to fail-open
  • Malformed JSON input exits 0 — a broken hook packet itself contains no secret

Honest limits

The following bypass techniques are not caught (by design — they require runtime/AST analysis):

  • base64.b64encode(secret) — encoding destroys the recognisable pattern
  • Key split across lines or with spaces inserted
  • Runtime string concatenation ("AKIA" + "IOSFODNN7EXAMPLE")
  • Hex encoding

These require deliberate obfuscation. The guard is designed to stop accidental leakage, which covers 99% of real incidents.


Safe by design

  • Pattern-based only — aifence never reads file contents, only matches filenames and text patterns
  • Merge, never overwrite — existing configs are preserved
  • Idempotent — running any command twice produces the same result
  • No network calls — everything runs locally

License

MIT

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Versions 1

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VersionPublishedDirect dependenciesOpen version
0.4.029 Apr 20263

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crack525/aifence

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package:1e3d16167e2d8ee41ef3e9c6c0bc6971df11e8e7d551aebc044059779f933c75