For security work

AI for security work.No cyber-access application.

GLM-5.3 and an abliterated DeepSeek V4.1 Flash, ready on your Maple plan for code review, pentesting and incident response. Start today, not after an approval.

GLM-5.3 · DeepSeek V4.1 Flash UncensoredPro, Max and Team

The refusal wall

Why do AI models block defensive security work?

Because defensive work looks like attack work, and their guardrails can't tell an incident responder from an attacker. Hugging Face hit it: commercial models blocked its forensic analysis of attack payloads, so it ran GLM-5.2 on its own infrastructure. The programs that lift those blocks mean applying first. The incident write-up

Thomas Wolf Thomas Wolfco-founder, Hugging Face
“When a frontier model is attacking you and moving laterally inside your infrastructure, defenders need wide access to near-frontier tools within hours or even minutes, rather than being pointed towards a closed-door, vetted application programme for model access.”
View the post on XHugging Face's incident write-up

Models

Which LLMs work for cybersecurity?

Two open models in the picker on Pro, Max and Team. Rates are Maple Proxy API prices per million tokens.

  • Pro
  • Max
  • Team

GLM 5.3glm-5-3

Deep review of one module, and agent work. Very capable in outside cyber tests.

Context262,144tokens

Input / output$3.60 / $11.50per 1M tokens

Guide

DeepSeek V4.1 Flash Uncensoreddeepseek-v4-1-flash-1017-uncensored

Whole codebases in scoped passes, logs and payloads. Weights edited to reduce refusals.

Context1,048,576tokens

Input / output$0.65 / $1.45per 1M tokens

Guide

Abliteration reduces refusals; it does not remove them. Check every finding before it reaches a patch. What Anthropic found about GLM-5.3

Private by proof

Can Maple see my code and findings?

What you seefindings.md
HIGH Unsanitized header reaches include() · src/router.php:212
HIGH Deserialization of request body · lib/session.php:88
MED Secret in error log line · app/log.php:41
MED Missing bounds check on offset · ext/parse.c:1203
next reproduce each, fix, add a test

What Maple sees

Nothing readable.

  • Encrypted on your device.
  • Decrypted only inside an attested enclave.
  • Maple cannot see your chats.
Run the live attestation check on /proof

Get started

How do I use these models with my security tools?

  1. Step 1

    Pick a plan

    Pro, Max or Team. API access through Maple Proxy needs a paid plan; usage draws from your plan first.

  2. Step 2

    Get the proxy

    It's built into the Maple desktop app as Local Proxy, for macOS, Windows and Linux. Or run it on its own with Docker or a release binary.

  3. Step 3

    Point your tool at it

    Set the base URL and your Maple API key in OpenCode, Goose or any OpenAI-compatible client, then pick a model.

    http://127.0.0.1:8080/v1glm-5-3 · deepseek-v4-1-flash-1017-uncensored

Questions about AI for security work

Do I need to apply for cyber access?

No. Both models are in the picker on Pro, Max and Team. There's no application and no wait.

What is an abliterated model?

A model whose refusal behavior is reduced by editing its weights. It can still decline, and you still review its output.

Which Maple plans include these models?

Pro, Max and Team. In the picker they are GLM-5.3 and DeepSeek V4.1 Flash Uncensored.

Can Maple see my prompts and code?

No. Maple cannot see your chats. You can run the live attestation check yourself on /proof.

Does it work with my existing security tools?

Yes, through Maple Proxy, which is OpenAI-compatible. Change the base URL and keep your tools.

Your code, reviewed today.

Pro, Max and Team. Nothing to apply for.