Control your voice AI
Audn.AI detects and fixes voice AI vulnerabilities automatically, keeping your system under control.
Audn.AI blocks every major risk. Automatically, in real time.
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Safety for regulated industries
We keep your voice AI safe in regulated industries.
All tests, in one place
We unify and automate essential voice AI tests: so you can protect your system faster.
How it works
Connect
Point us at your IVR or agent phone number. No code required.
Simulate
Run adversarial and emotionâconditioned attacks at scale.
Report
CWEâstyle findings with OWASP/NIST/MITRE mapping and fixes.
Why Audn.AI?
Traditional red teaming relies on scripted scenarios and limited test coverage. Audn.AI changes the game with autonomous, AI-powered adversaries that think, adapt, and evolve like real attackers. We use our custom Pingu Unchained LLM to do that. Learn more below.
More attack vectors tested
Continuous testing
False positives with proof
Pingu Unchained LLM
Unrestricted LLM for High-Risk Research
GPT-OSS base model (120B) from OpenAI with no content filtering with unrestricted access. Answers any question without saying "I can't help with that." For vetted developers tackling edge-case reasoning and sensitive research.
Our unrestricted LLM designed specifically for red teaming. Unlike consumer models with safety guardrails, Pingu Unchained thinks like an attackerâexploring jailbreaks, social engineering, and adversarial prompts that other models refuse to generate.
đ Access after vetting process ⢠SOC 2 compliant infrastructure
Guardrails observability for Voice AI
Identify and fix agent failures automatically. Get deep traces of every turn, surface recurring failure patterns, and ship improvements with confidence.
Results: 14 critical jailbreak paths closed, 37 medium risks triaged.
Time to value: First report in 48 hours.
Compliance: Evidence aligned to internal risk reviews and SOC 2 controls.
Traction & Security
0+ adversarial prompts generated ¡ 0+ campaigns run ¡ 0 vulnerabilities found ¡ EU AI Act/ISO 42001/SOC2 ¡ 3 platform integrations
Mapped to industry frameworks
Export audit-ready evidence with policy mapping and remediation guidance.
Covers risks
About Audn.ai
Audn.ai - Huginn and Muninn
The Ravens of Intelligence
Our name audn.ai derives from Odin, the Norse god of wisdom and knowledge. Our logo features two ravens representing Huginn and Muninn â Odin's faithful companions who fly throughout the world gathering intelligence and reporting back to their master.
In Norse mythology, Huginn (thought) and Muninn (memory/will) serve as Odin's eyes and ears across all realms. Similarly, our AI red-teaming platform serves as your organization's vigilant watchers, continuously probing voice agents for vulnerabilities and gathering critical security intelligence.
Founded by a cloud security expert from Wayve.ai (Softbank Funded Unicorn Autonomous AI Company) with experience in ISO and TISAX compliance, Audn.ai emerged from the recognition that voice agents represent the future of human-AI interaction â from banking to autonomous vehicles. As these systems become ubiquitous, ensuring their security against sophisticated attacks becomes paramount.
Our philosophy embraces the yin-yang balance of security: we think like black hat hackers to build white hat defenses. By understanding how malicious actors exploit voice AI systems, we empower organizations to stay one step ahead. Just as Huginn and Muninn bring both dark tidings and wisdom to Odin, we reveal vulnerabilities not to harm, but to protect and strengthen your AI agents against real-world threats.
Deepfake & Fraud Testing
Simulate voiceâclone takeovers and ensure KYC/AML compliance. Recreate the 2024 BBC and Arup attacks to stressâtest defences.
Risk Analytics & Audit Logs
Generate actionable reports when assistants leak data or break policy, complete with audit trails to satisfy regulators.
Custom Attack Scenarios
Tailor adversarial campaigns to your services, from promptâinjection to wireâtransfer social engineering.
CI/CD Gates
Fail builds on highârisk regressions and export artifacts for auditors.
EmotionâAware Attacker
Adaptive tactics based on emotional and behavioral cues unique to voice.
Compliance Mapping
OWASP LLM / NIST AI RMF / MITRE ATLAS mapping with remediation guidance.
Team
Ozgur (Oscar) Ozkan
About the founder
- Built and operated cloud security at Wayve.AI; contributed to TISAX and ISO 27001 compliance.
- Scaled Keymate.AI to $1M ARR in 3 months; ~15% weekly growth; 300k users; topâ12 GPT Store.
- 10+ years across SRE/Platform/Backend; led CI/CD, DevSecOps, and Kubernetes in regulated environments.
- Generalist with deep backend, AI/ML, and platform engineering expertise.
StartershubITU Seed 2018 (1st in competition)Simple, Transparent Pricing
Start free. Scale as you go. No hidden fees.
Starter
Free
Run limited campaigns with community support.
Pro
$99/mo
Unlimited testing, detailed analytics and priority support.
Enterprise
Custom
Enterprise defences, compliance, dedicated security engineer.
For investors
Market: contactâcenter AI adoption is accelerating; the attack surface is growing. Why now: frontier LLMs + voice spoofing increase fraud risk; compliance pressure is rising.
Frequently asked questions
Why do I need Audn.AI: Cursor for Cybersecurity?
We created a red teamer ethical hacker AI model that works behind the scene and we provide you an easy to use workstation to command and manage all your voice AI cybersecurity from one dashboard.
Why does my company need tests?
Every AI system carries risk, from data leaks to unsafe outputs to regulatory violations. We stress-test your voice AI model like an attacker would, then auto-fix the vulnerabilities, so you can stay safe without slowing down releases.
Which AI models and deployments do you support?
Weâre voice focused and model and infra-agnostic. You can test individual models like Elevenlabs or any other voice AI infra provider also supports if you use custom LLM behind it like GPT-4o, Claude, or Mistral, as well as full deployments â including routed setups, fallback chains, and RAG pipelines. We also support internal-only systems and those with sensitive data access.
Do you test LLMs only, or can you also test RAG, tools, or agents too?
We test any system with a voice AI interface â including agents, tool-using setups, RAG flows, and model chains.
How often should my Voice AI be tested?
We recommend daily per-deploy testing to catch regressions and stay ahead of new jailbreaks, policy bypasses, and emergent threats.
What happens after a vulnerability is found â do you fix it too?
Yes. Findings from Test can be auto-patched through Blue Teamer recommendations our policy-based engine that intercepts and blocks unsafe outputs in real time. You go from detection to protection in one click.
Can you run on-premises or in our private cloud?
Yes. We support full on-premises and VPC deployments for enterprises with strict data or compliance requirements.
Do you support continuous testing or just point-in-time scans?
Both. You can run one-off test campaigns or set up continuous monitoring with alerts, diffs, and regressions tracked over time.
Can you test multilingual models or content?
Absolutely. We cover English, French, German, Spanish, Japanese, and more including prompt attacks and risks specific to each language.
Stress-test voice AI. Automatically validate and evaluate.
Audn.AI generates and simulates risky voice prompts, detects policy vulnerabilities, and fixes them automatically.
Ready to secure your voice AI?
Sign up now and get started in minutes.
Book a Demo
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