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Offensive AI Security v2026.05 · Volume I

We break your
language model before
someone less polite does.

LLMs in production expose a surface area that traditional pentesting doesn't model: prompts, context, tools, embeddings, memory. We've spent two years cataloging how they break — and we ship the agents that do it on a schedule.

Book an audit → Read the open-source kit
247attack vectors catalogued
14 daysmedian audit turnaround
0human hours in continuous eval
mnnsor.run — live session node-03 · us-east
Coverage
RUN 0 PASS 0 HIT 0
Adapters & integrations
OpenAI Anthropic Bedrock Azure AI vLLM Ollama LangChain
01 / The problem

Your model is exposed to attack vectors your security team doesn't know exist yet.

01

Jailbreaks that bypass your filters.

Multilingual templates, chained role-play, semantic encoding. Your safety layer doesn't catch them because it was never trained on them.

Critical severity
02

Prompt injection in production.

Hostile inputs hidden in PDFs, emails, web pages, third-party tools. The model executes instructions that never came from the user.

Critical severity
03

Data leakage through context.

Extracted system prompts, leaked persistent memory, other users' data returned mid-conversation. Context is an attack surface, not a feature.

High severity
02 / Product

Two ways to attack your model before the adversary does. One open. One continuous.

01 · Open source GitHub

mnnsor / Kit

A red-team framework for LLMs: a CLI, Python bindings, and a living catalog of community-contributed payloads. Audit your model locally before you pay anyone — including us.

  • Payloads for OWASP LLM Top 10 plus 247 vectors curated by our team.
  • First-class adapters for OpenAI, Anthropic, Bedrock, vLLM, Ollama.
  • Reproducible HTML reports — sharable, diffable, postmortem-ready.
2.4kstars
MITlicense
github.com/mnnsor →
02 · Enterprise Continuous eval

mnnsor / Continuous

Autonomous agents that probe your model every day, regress on every deploy, and sign reports your compliance officer can hand to an auditor without flinching.

  • Agents that adapt vectors to your domain, your tools, your data flow.
  • CI/CD integration: block deploys when a new vulnerability appears.
  • Audit-ready reports for SOC 2 and ISO 42001 with full chain of custody.
24hresponse SLA
PrivateMSA
Talk to sales →
03 / Position
We're not a compliance vendor. We're the people the compliance vendors quote. Every finding ships with a working exploit — because if you can't reproduce it, you can't fix it.
— mnnsor founding charter · 2024
04 / Why mnnsor

Four reasons teams choose us over the framework crowd.

— 01

Offense-native.

We think like attackers, not auditors. Every finding ships with a reproducible exploit, not a checkbox.

Attacker mindset
— 02

Hemispheric coverage.

Team based across LATAM. We attack in English, Spanish, and Portuguese — with regional slang, culture, and exploits baked in.

AR · MX · BR · CO
— 03

Agents that don't sleep.

Continuous eval with zero human hours. Your adversary iterates 24/7 — your defense should too.

24 / 7 autonomous
— 04

Bug-bounty pedigree.

Hunters with published CVEs and top rankings on HackerOne and Bugcrowd. Experience measured in payouts, not certificates.

38 CVEs · $1.2M paid
05 / Process

From kickoff to signed report in fourteen days.

Day 01–02 01
Threat-model intake.

We map your model, its tools, its data flow. No NDA theater — just a working session and a scoped engagement.

Day 03–08 02
Active red-team.

Agents and humans hit your endpoint with the full 247-vector catalog, plus custom payloads tailored to your domain.

Day 09–11 03
Triage & verify.

Every hit is reproduced, severity-scored, and tied to an MITRE ATLAS / OWASP LLM mapping. No false positives shipped.

Day 12–14 04
Signed report.

Auditable PDF + machine-readable JSON. Remediation guidance written by the people who broke it. Optional retest free.

Your model is already in production.
Have you attacked it first?

Initial audit in fourteen days. No endless onboarding, no slide-deck frameworks. Connect your endpoint, get a report that hurts in the right places.

Book an audit → Start with the open-source kit
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