Patch critical vulnerabilities before hackers exploit
Fully autonomous security verification and certification with 7x24 running ethical AI hacker
Not an assistant. An end-to-end autonomous verifier with hacker intuition trained by 5000 top-tier hackers steering AI agents over the last 1.5 years. Below is the loop it runs.
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An autonomous hacker with adversarial reasoning.
Recon
Maps the real surface: endpoints, tools, agent delegation paths, auth edges, what the system will and won’t talk about.
Learns
Builds a working model of your system from its own responses, refusal patterns, tool wiring, business rules, instead of replaying a generic corpus.
Digs in
Hacker intuition: follows the thread that smells wrong, chains partial wins, and escalates the paths a scanner scores as low-signal noise.
Discovers exploits
Turns a hypothesis into a working payload, prompt injection into tool misuse into exfiltration, and keeps iterating until it lands or is ruled out.
Proves it in a sandbox
Executes against the isolated preview environment you authorized, captures the evidence, and hands you a reproducible finding, not a maybe.
Patches
Blue team writes the fix for what was actually exploitable, guardrail, prompt, policy, or code, scoped to the proven path, not a generic hardening list.
Deploys
Ships the patch to your preview environment as a reviewable change, so a human approves what reaches production.
Retests
Replays the exact exploit chain plus its variants against the patched build. The finding only closes when the attack that proved it stops working.
Four tools. One adversarial loop.
From automated red-teaming to the raw LLM our attackers run on, each product is an entry point into the same validation engine.
Audn Sec QA
audn.ai/dashboard
AI jailbreak and behaviour red-teaming across text and voice.
Pingu Unchained
pingu.audn.ai
The uncensored research LLM our own red team runs on, our in-house Pingu 10 model in a chat UI. Generate novel jailbreaks, adversarial prompts, and high-fidelity attack scripts without refusal walls. The heavier roster, WARLOCK (Kimi K3.1 Pro), Necromicon, GODZILLA and KONG, lives on PenClaw.
Necromicon
audn.ai/necromicon
$999 flat for unlimited AI tokens, up to 3 parallel streams, on Kimi K3.1 Pro unrestricted. We build the most-liked and most-downloaded Kimi K3.1 Pro model on Hugging Face.
Pingu Unchained API
platform.audn.ai
Direct OpenAI-compatible API access to the Audn validation engine and the full uncensored roster. Drop it into Claude Code or go fully unrejected with OpenClaude (try it at penclaw.ai). Pay-as-you-go by token.
PenClaw
penclaw.ai
Autonomous pentesting agent that chains reconnaissance, exploitation, and reporting. Operated from Signal, Slack, Discord, Telegram, or WhatsApp. Ships a CVSS-scored report while you sleep.
AudnCode
Offensive Cybersecurity Coding
A fork of Claude Code wired to the whole Pingu Unchained roster, WARLOCK, Necromicon, GODZILLA, KONG and Pingu 10. Autonomous offensive-security engineering in your terminal, no refusal walls. Ships the audncode command (alias openclaude).
Requires an active penclaw.ai subscription and a completed government KYC identity check. First launch signs you in; access is enforced server-side on every request.
Install guide, models & how it differs →We attack what matters to your business.
Every AI agent you deploy carries business-specific risk. Our adversarial agents read your real exposure, data, tools, customers, policies, and generate attacks that match.
We try to exfiltrate it.
Customer PII, financial records, proprietary embeddings, if the agent can reach it, we chain prompt injection, tool misuse, and indirect exfiltration channels until we either extract it or prove we can’t.
We test the inputs you didn’t.
SQL injection, NoSQL injection, stored payloads, command strings that slip past naive sanitisers, we map every write path and check whether a malicious prompt turns your intake agent into an attacker’s console.
We break your business logic.
Unlimited promo-code generation, discount stacking, refund abuse, pricing-rule corner cases, we probe for the revenue leaks a generic red-team script can’t imagine because it doesn’t know your pricing rules.
We measure it against your guardrails.
Autonomous agents drift. We continuously test whether yours still operates inside the business-ops boundaries you set, policy, scope, authority, not just whether it stays polite.
This is red teaming. Learn more (opens in a new tab)
Used in production by teams shipping AI.
Early design partners across voice agents, conversational AI, and autonomous systems.
Freya
Voice AIDesign partnerHardened their production voice agents against prompt injection and social engineering attacks before their consumer launch.
InTouchNow
Conversational AIContinuous QARuns continuous adversarial regressions on every model release, catches data-exfiltration and jailbreak regressions before they ship.
Meet WARLOCK. Frontier cyber, without the refusal wall.
Five uncensored offensive-security models, ordered by raw intelligence, led by WARLOCK, our full Kimi K3.1 Pro unrestricted build. All are live on the audncode CLI and penclaw.ai. The tiers stack, each one includes every model beneath it, inside the same KYC-gated perimeter.
WARLOCK
NEW · FRONTIERKimi K3.1 Pro · Audn abliteration
The latest Kimi K3.1 Pro build, abliterated and removed from guardrails: the superior frontier model for offensive security. Up to 777 tok/s (only valid on the dedicated server version) on an autoscaling B300 cluster, unlimited for a full month. 79.7% harmful-prompt delivery on the live NVFP4 build, about two and a half times the next build on the same set.
79.7% delivery (NVFP4)Up to 777 tok/s (only valid on the dedicated server version) · unlimited$999/mo · unlimitedUnlimited tokens · 3 concurrent sessions · includes every model belowPingu Unchained NECROMICON
Kimi K3.1 Pro · Audn abliteration
Claude-Mythos-class reasoning pointed at offensive security, a Kimi K3.1 Pro model that holds an entire engagement in its head: chained attack paths, long recon context, and the retest that proves the fix held. 80% attack success rate on our internal harness, and no refusal wall in the middle of authorized work.
Frontier cyber reasoning80% ASR (internal harness)Full-engagement context$179/mo add-onUsage limits apply · includes every model belowPingu Unchained GODZILLA
Kimi K2.6 · Audn abliteration
Heavier reasoning for the attack paths where the first three ideas do not work. Our abliteration method applied to K2.6 and tuned for offensive cyber, the workhorse for multi-step exploitation when Necromicon is more model than the job needs.
Chained exploitationMulti-step reasoningExploit development$79/mo add-onUsage limits apply · includes KONG + Pingu 10Pingu Unchained KONG
Qwen 3.8 · Audn abliteration
Code-first offensive engineering on a small, fast base. Exploit scaffolding, payload construction, tooling, the part of the job where you are writing software, not prose. Cheap enough to leave running flat out, because nothing is metered.
Code-firstFast + inexpensiveUnlimited tokens$20/moNo token limitsPingu Unchained 10
Qwen 3.8 · Audn abliteration
The original, our abliteration of Qwen 3.8, trained on real pentester sessions and long-context exploit corpora. Still the default engine behind Audn Chat at pingu.audn.ai and the free tier for vetted researchers.
Long-context reconTrained on pentester sessionsUnlimited tokens$20/moNo token limits
Abliteration is ours. It lowers a model’s latent tendency to refuse gray-area prompts during authorized red teaming, while leaving refusals intact everywhere else, and our models keep their agentic capabilities. We own the most popular unrestricted models on Hugging Face, see the latest here: penclaw-Kimi-K3.1-pro-unrestricted
Real abliteration takes more than a weights download.
- Silicon
- Autoscaling B300 cluster. WARLOCK (Kimi K3.1 Pro unrestricted) on our API and on penclaw.ai runs on that cluster, and that deployment stays closed.
- Base
- The full Kimi K3.1 Pro unrestricted, the superior frontier model, served on the autoscaling cluster (live NVFP4 build) at up to 777 tok/s (only valid on the dedicated server version). Not a smaller distill, not a trial.
- Adapter
- A closed-source abliteration riding on top, fine-tuned on real-world penetration testing data to lift red-team and ethical-hacking performance.
$999/mo, autoscaling cluster. The full Kimi K3.1 Pro unrestricted (WARLOCK) in FAST mode at up to 777 tok/s (only valid on the dedicated server version), unlimited for a full month, 79.7% harmful-prompt delivery on the live NVFP4 build, the only limit 3 concurrent sessions. Capacity scales with load, which keeps it 20% faster than Modal.com’s shared model and puts the world’s fastest frontier cyber AI inside a subscription instead of a hardware purchase order. Data is opted out on this plan: we never train on your traffic, and prompts and completions are not retained.
AI behaviours. Network misconfigurations. Any black-box system you run.
If it’s a closed system, it’s in our scope. Audn is training artificial general blackbox intelligence, built for closed systems that don’t expose source, and built to filter out the noise in white-box systems that already do.
Three ways in. One adversarial engine.
We do open-source scan plus external ethical-hacker AI validation, complete blackbox vulnerability finding with no source at all, and behavioural red-teaming for AI agents, prompt injection, jailbreaks, voice social engineering. Pick where to start. The same engine cuts the noise either way.
Open-source scan + AI validation
Signal in the noise of OSS scanners.
We kick off SAST/DAST and AI-based scanners, GPT-5.5-Cyber, Claude Mythos and friends. They generate the noise. We then run guided and unguided blackbox pentesting on top, so you only see what is actually exploitable and worth prioritising. This is where the rest of the world misses.
$299 per scan, currently $99 — temporary launch discountBlackbox external AI pentester
Complete blackbox vulnerability finder.
No source. No weights. No insider knowledge. Self-serve PenClaw runs an autonomous external pentester AI against your live system the way an attacker would, and ships a CVSS-scored report.
Behavioural AI red-team
Prompt injection, jailbreaks, voice social engineering.
For AI agents specifically, Audn Sec QA continuously tests how your agent behaves under adversarial pressure. Prompt injection, tool misuse, agent delegation chains, and voice social-engineering paths.
We break things with the best labs in AI.
Audn’s research output is how we earn the right to call ourselves adversarial experts.
Every finding maps to the frameworks your buyers, partners and auditors ask about.
Attacks are tagged against the top AI security frameworks so your security team can turn evidence into compliance artefacts without re-writing a thing.
The CISO Handbook
Our internal playbook of attack taxonomies, scoring rubrics and live case studies. Tailored by a human, emailed to your inbox.
Request the handbookBuilt by people who ethically hacked things for a living.
Applied researchers and offensive engineers from Wayve, Meta, Microsoft and Cambridge.
Ozgur Ozkan (Oz)
Arun Baby
Sanchali Sharma
Resell continuous offensive security under your own brand.
For MSSPs, and MSPs building a security practice. The adversarial engine runs as a CI/CD gate across your client book, and the audit evidence your clients get examined on is generated by the run rather than typed up afterwards. Early program, quoted per portfolio, invoiced annually.
- Per-client target scoping, with signed authorization per target
- White-label ready, your logo, your domain, your report cover
- One multi-tenant view across the whole book of business
- SARIF output, so findings land where your engineers already look
- Read-only recon by default, bounded actions above it, and per-tenant kill switches
Verify everything you ship autonomously.
Third-party agents, closed-weight models, voice endpoints, the vendor app nobody has the repo for. Contracted annually, per concurrent agent, with the rules of engagement written down before anything runs.
- Fires on deploy, prompt change or guardrail change, as a release gate or a continuous watch
- Agents, APIs, web, mobile, desktop, voice and text in one scope
- Runs from GitHub Actions, Azure DevOps or Jenkins
- Every finding scored, then re-attacked to prove the fix held
- Executive and technical reporting, with run playback and retest
Your AI agents are already being attacked, with natural language or with binary software vulnerabilities.
Run your first validation in 30 minutes. No integration required, no data leaves your stack.