Red Team AI
Finds behavioural vulnerabilities humans can't find
and harden AI agents against production risk
Blue Team AI
Patches vulnerabilities & strengthens defences
Find the vulnerabilities in your AI agents before attackers do.
Autonomous red teaming for prompt injection, voice cloning, social engineering, and data exfiltration.
Exploit evidence and compliance-ready reports. No integration required.
Evidences directly mapped to OWASP LLM Top 10, ISO 27001, NIST AI RMF, EU AI Act
Audn Sec QA is a security research partner for security leaders, procurement teams, and technical buyers.
Compliance Mapping
Every finding maps to the frameworks your security team and regulators already reference, with remediation guidance on every material issue.
Evidence-Backed Reports
Exploitability tests with screenshots, transcripts, appendix references, and prioritized remediation. Reports your CISO and security engineers can act on directly.
- Actionable exploitability tests with evidence
- OWASP AI Top 10, NIST AI RMF, and EU AI Act mapping
- Recommendation summaries with appendix-ready attack traces
Security Research Partnerships
Research program participation, challenge results, and ecosystem partnerships that technical buyers recognize.
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Customer references
Teams running live voice and AI agent workflows in production.
Built for regulated industries
Audit-ready testing and compliance evidence for sectors where AI failures carry real consequences.
Voice and text. Two attack surfaces, two approaches.
Each modality has distinct failure modes. We test both with purpose-built workflows.
Voice AI
Fully autonomous. No integration required.
Zero human-in-the-loop. Provide a phone number. We call your agent, run adversarial scenarios, and deliver a vulnerability report.
- Autonomous adversarial voice calls
- Real-time deepfake & voice clone testing
- Automated vulnerability discovery
- Instant report generation
- No integration required, just your phone number
Text AI
API integration with expert oversight
Deeper integration for broader coverage. Connect via API or MCP, run structured attack campaigns, and get expert-reviewed findings.
- API-based attack injection
- MCP tool integration for agent testing
- Expert-guided adversarial campaigns
- Custom attack scenario development
- Human review for business-specific risks
Attack and defend. Continuously.
Audn Red
Attack & Penetration Testing
Adversarial attack corpus powered by Pingu Unchained. Tests the business scenarios your agent actually faces, not just generic model benchmarks.
- Autonomous adversarial testing
- Voice, text & multimodal attacks
- MCP tool chain integration
- Millions of attack vectors
- Zero false positives with proof
Purpose-built for AI agent behavior testing, not just model vulnerabilities.
Audn Blue
Defense & Protection
Converts Red findings into runtime guardrails. Blocks jailbreaks, deepfakes, and data leaks as they happen, updated continuously from live attack intelligence.
- Real-time jailbreak blocking
- Deepfake & voice clone defense
- Data leak prevention
- Policy enforcement
- Continuous monitoring
Runtime protection powered by real-world attack intelligence from Audn Red.
Business risk testing, not model benchmarks
Generic model scans miss what matters. We test the specific scenarios your agent handles in production: wire transfers, account resets, data access, and policy enforcement.
One platform for every attack surface
Voice, text, and multimodal agent security from a single control plane. Run campaigns, track regressions, export compliance evidence.
How it works
Simulate
Run adversarial and emotion‑conditioned attacks at scale.
Report
CWE‑style findings with OWASP/NIST/MITRE mapping and fixes.
Why Audn
Attack tools chained with LLM reasoning. Pingu Unchained generates adversarial scenarios that real attackers use: prompt injection, social engineering, deepfake impersonation, and data exfiltration. Every finding maps to OWASP, NIST, and MITRE frameworks.
Red teaming and runtime guardrails for voice, text, and multimodal agents. MCP-compatible. Works with any infrastructure.
Time to first report
Integration steps for voice
Compliance frameworks mapped
Pingu Unchained LLM
Unrestricted adversarial reasoning for security research
GPT-OSS base (120B) fine-tuned for offensive security. No content filtering. Generates attack paths, jailbreaks, and adversarial prompts that safety-aligned models refuse to produce. Vetted access only.
Our unrestricted LLM designed specifically for red teaming. Unlike consumer models with safety guardrails, Pingu Unchained thinks like an attacker, exploring jailbreaks, social engineering, and adversarial prompts that other models refuse to generate.
Access after vetting process. SOC 2 compliant infrastructure.
Product suite
Purpose-built tools for offensive security, runtime defense, and compliance evidence across voice, text, and browser interfaces.
PenClaw
AI Pentester Agent — Always On
Hire an AI pentester that joins your red team 24/7. Powered by Pingu Unchained 4 on H100 GPUs. Automated recon, scanning, and vulnerability reporting — operated from Signal, Slack, Discord, Telegram, or WhatsApp.
Audn Red
AI Penetration Testing & Attack Corpus
The fastest-growing attack corpus powered by our proprietary Pingu Unchained LLM. Autonomous adversarial testing for AI models, agents, and behaviors, not just code.
Audn Red Voice
Voice AI Penetration Testing
End-to-end agentic voice AI security testing. Fully autonomous red-teaming for voice agents with no human in the loop. Tests jailbreaks, social engineering, and data exfiltration via voice.
Audn Purple
RL-SEC Continuous Hardening Loop
Red AI attacks while Blue AI defends: a self-running Purple Team. Both sides train each other through A2A real-world simulations, generating millions of adversarial dialogues humans could never enumerate.
Audn Blue
Real-time AI Protection & Defense
Leverages Audn Red detections to protect any AI agent or model from harmful inputs. Defense guardrails that block jailbreaks, deep-fakes, and data leaks in real-time.
Pingu Unchained
Attack-Tool Ready Adversary LLM
Autonomous AI red-teamer that chains real attack tools (nmap, sqlmap, dirsearch, ffuf) with LLM reasoning to unleash realistic penetration tests against voice, chat & agentic systems.
Audn Blue Browser
Enterprise Browser Security Extension
Enterprise browser add-on that stress-tests & blocks prompt-injection, jailbreak and covert exfiltration channels across SaaS and internal web apps.
AI2 Compare
Prompt + Dual-Model Side-by-Side
Cousin of GitHub Gists for prompts. Compare pingu-unchained-3 with other models and see how attack paths appear side by side. Share adversarial prompts and evaluate model responses.
MCP Defender Proxy
Universal MCP Security Gateway
Single MCP proxy with search_tools, describe_tools, and execute_tools that dynamically discovers and wraps all connected MCP servers with security scanning. Works on Windows and Mac.
Audn Alert Triage
EDR & SIEM False Positive Reducer
Do more with less. With 3.5M unfilled SOC positions, hiring isn't the answer. Reduce false positives by 90% so your L1 and L2 analysts can achieve 3x more.
Observability for agent guardrails
Trace every turn, surface recurring failure patterns, and ship improvements with regression confidence. Integrates with your existing observability stack.
14 critical jailbreak paths closed. 37 medium risks triaged. First report in 30 minutes.
All findings mapped to compliance frameworks with remediation guidance attached.
Platform metrics
Growing adversarial prompt corpus · Active campaign engine · Continuous vulnerability detection · EU AI Act / ISO 42001 / SOC 2 · 3 platform integrations
Findings mapped to industry frameworks
Export audit-ready evidence with policy mapping and remediation guidance.
Attack categories tested
About Audn.ai
Huginn and Muninn
Named after Odin's ravens -- Huginn (thought) and Muninn (memory) -- who fly the world gathering intelligence. Our platform does the same: continuously probing AI agents for vulnerabilities and reporting critical security findings.
Founded by security engineers from Wayve, Meta, and Microsoft with experience across ISO 27001, TISAX, PCI-DSS, and SOC 2 compliance. We built Audn because voice and text agents are the fastest-growing attack surface in enterprise AI, and existing security tools were not designed for them.
We think like attackers to build defenses. Every exploit path we discover strengthens the guardrails that protect your agents in production.
Deepfake & Fraud Testing
Simulate voice‑clone takeovers and ensure KYC/AML compliance. Recreate the 2024 BBC and Arup attacks to stress‑test 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 prompt‑injection to wire‑transfer social engineering.
CI/CD Gates
Fail builds on high‑risk regressions and export artifacts for auditors.
Emotion‑Aware 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 Ozkan (Oz)
Co‑Founder & CEO
An exited founder with rare AI security infra depth
Experience
- Exited — Bootstrapped as sole founder to 300k users & $1M ARR in 3 months. Still operational; ~$2M total revenue over 3 years.
- Softbank‑Funded AI Unicorn (Transportation) — Staff Platform Engineer for Security; secured AI infrastructure for TISAX compliance.
- Series C Fintech (London) — Senior Platform Engineer; PCI‑DSS compliance.
- Seed Healthcare AI (London) — Software Engineer; built AI agents for HIPAA workflows.
Arun Baby
Co‑Founder & CTO
Agentic AI; ex‑Samsung, ex‑Cisco · IIT Madras · 2 patents in Speech AI · 20 research publications
Experience
- Tring AI (Car Dealerships) — CTO; product & technical roadmap for multimodal enterprise interfaces.
- Samsung Research – Galaxy AI — Team Lead / Staff ML Engineer; speech models powering 200M+ Galaxy devices; shipped first live‑translate feature.
- Zapr Media Labs (Acquired by Samsung) — Research Scientist; multilingual voicebots, voice analytics & audio fingerprinting.
- Cisco Systems — Senior Engineer; high‑performance debugging & ML analytics for routing products.
Sanchali Sharma
Co‑Founder & Enterprise PM
Exited Voice AI founder · PM ex‑Microsoft, ex‑Meta · IIM Bangalore
Experience
- 1× Voice AI Exit — Raised pre‑seed & seed for talkingly.ai; led product, engineering & research strategy. Regional finalist at Tech Nation.
- NexgAI — Product Leader; enterprise‑to‑consumer Sales AI agent generating $40M incremental revenue.
- Senior PM – Automation — Built zero‑to‑one community with a 2‑member team; delivered measurable revenue growth.
- Senior PM – AI (RL & Vector Search) — Vector‑powered multilingual search platform; architected cloud‑native RL ranking pipeline.
Tessa Hutchman
Co‑Founder & Chief Corporate Affairs
University of Cambridge (MEd Maths – AI in Education) · 1st class Honors, top 5%
Experience
- Cambridge Masters Research — How AI supports feedback literacy in education; creating guidelines for automation use.
- Emma Enterprise Finalist — CricketAI: platform delivering Cambridge‑standard essay feedback.
- Co‑Founder (Exited) — Ed‑tech startup incorporated into a charity supporting young people in workplace access & skills.
- Nurturious — Policy & Compliance Lead; auditing DfE/Ofsted policies, identifying gaps & guiding updates.
For investors
Contact-centre AI adoption is accelerating. Every new model and voice agent deployment expands the attack surface. Regulatory pressure (EU AI Act, ISO 42001) is creating mandatory demand for continuous adversarial testing.
FAQ
What does Audn do?
Audn runs adversarial security tests against your AI agents. We simulate the attacks real threat actors use -- jailbreaks, social engineering, data extraction, prompt injection -- and deliver evidence-backed vulnerability reports with remediation guidance.
Why does my AI agent need security testing?
AI agents handling customer interactions, financial operations, or sensitive data carry real business risk. A single jailbreak or data leak can cause regulatory fines, reputational damage, and direct financial loss. Continuous adversarial testing catches vulnerabilities before they reach production.
Which platforms and models do you support?
We are model-agnostic and infrastructure-agnostic. We test agents built on ElevenLabs, Hume, Vapi, Retell, Bland, and custom voice stacks. For text agents, we support any system accessible via API or MCP, regardless of the underlying model (GPT-4o, Claude, Mistral, open-source).
Do you only test LLMs, or full agent systems?
Full agent systems. We test the complete stack: tool-calling chains, RAG pipelines, multi-turn conversational flows, and the business logic layer. Model-level benchmarks alone miss the integration-level vulnerabilities that cause real incidents.
How often should we test?
On every deployment. New model versions, prompt changes, and tool updates can introduce regressions. Continuous testing catches issues before they reach production.
What happens after a vulnerability is found?
Every finding includes remediation guidance. Audn Blue can deploy runtime guardrails that block the exploit path immediately. You go from detection to protection without a code change.
Do you support on-premises deployment?
Yes. We support on-premises and VPC deployments for organizations with strict data residency or compliance requirements.
Continuous testing or one-off scans?
Both. Run single campaigns for point-in-time assessments, or configure continuous monitoring with alerts, regression tracking, and diff reports.
Do you support multilingual testing?
Yes. We test in English, French, German, Spanish, Japanese, and additional languages, including language-specific prompt injection and jailbreak vectors.
Adversarial testing. Runtime protection. Compliance evidence.
Audn finds the exploitable vulnerabilities in your AI agents, maps them to compliance frameworks, and deploys guardrails that block the same attack paths in production.
Start testing your AI agents
First vulnerability report in 30 minutes. No integration required for voice.
Get in touch
Questions about testing, pricing, or deployment? We respond within one business day.