Audn.AI

Cover Block

Metric	Value
Name	Audn.AI
Tagline	AI security platform for offensive security, runtime defense, and compliance across voice, text, and browser interfaces. [Audn.AI homepage, retrieved 2024]
Business Model	SaaS
Industry	Security
Technology	AI / Machine Learning
Growth Profile	Venture Scale
Founding Team	Other

Links

• Website: https://audn.ai/
• LinkedIn: https://www.linkedin.com/posts/oscar-ozkan_advanced-voice-mode-powerful-jailbreak-activity-7357941222776184832-DFjN

What an Investor Needs First

Audn.AI is building a security platform that automates adversarial testing and runtime defense for AI agents. The company's immediate wedge is in voice-agent red teaming, where it runs live, multi-turn adversarial calls to identify vulnerabilities like prompt injection and voice cloning [Audn.AI homepage, retrieved 2024]. Its founding narrative cites a team of security engineers from Wayve, Meta, and Microsoft [Audn.AI homepage, retrieved 2024].

The core product suite, Audn, operates a closed adversarial loop where a Red Team AI attacks an agent and a Blue Team AI validates and scores findings, mapping them to frameworks like OWASP and the EU AI Act [Audn.AI homepage, retrieved 2024]. A key differentiator is Pingu Unchained, a 120B-parameter uncensored research LLM trained for red team workflows [Audn.AI Pingu Unchained, retrieved 2024]. The business model is SaaS-based, with a reported monthly revenue figure of $1,105 [Trustmrr.com, retrieved 2026].

Audn.AI presents as a security startup focused on automated adversarial testing for AI agents, with a pronounced emphasis on voice interfaces. The company's public narrative positions it as a platform built by practitioners to address security gaps in open-ended channels like voice and chat [Audn.AI homepage, retrieved 2024]. Its founding story cites a team of security engineers from Wayve, Meta, and Microsoft, though no individual founders are named in publicly accessible sources [Audn.AI homepage, retrieved 2024]. The company's early milestones include the launch of its core adversarial validation engine and the development of Pingu Unchained [Audn.AI homepage, retrieved 2024] [Audn.AI blog, retrieved 2024].

Data Accuracy: YELLOW -- Product claims are confirmed from the company's own website. Founding team background and company origins are self-reported and not independently verified.

Under the Hood

Audn.AI positions its core product as a continuous adversarial validation engine for AI agents. The platform runs a closed adversarial loop, where a Red Team AI attacks an agent while a Blue Team AI validates and scores each finding [Audn.AI homepage, retrieved 2024]. This process runs thousands of adversarial turns per day across text and voice interfaces [Audn.AI homepage, retrieved 2024].

The product architecture includes four integrated tools:

• Audn Red. An attack corpus containing over 50,000 techniques, with over 500 new techniques added daily. The company claims it has tested over 200 models with a 94% success rate in vulnerability detection [Audn.AI Audn Red, retrieved 2024].
• Audn Purple. An RL-SEC hardening loop using reinforcement learning to improve agent security.
• Audn Blue. A real-time defense system.
• Audn Red Voice. A specialized module for voice-agent red teaming, testing for vulnerabilities like deepfake voice injection, social engineering, IVR escape, and OTP theft [Audn.AI - $1105 last 30 days, retrieved 2026]. It integrates with communication platforms like Twilio, Genesys, and Amazon Connect [Audn.AI Voice AI Red Teaming, retrieved 2024].

A significant component is Pingu Unchained, a 120B-parameter uncensored research LLM [Audn.AI homepage, retrieved 2024]. The platform's output is structured for compliance, mapping all findings to frameworks like OWASP, NIST, and the EU AI Act, and delivering an audit-ready evidence pack within 24 hours [Audn.AI homepage, retrieved 2024] [Audn.AI - $1105 last 30 days, retrieved 2026].

Data Accuracy: YELLOW -- Product claims are detailed and self-consistent across the company's primary sources, but lack independent technical validation.

Market Research

The market Audn.AI targets is defined by the convergence of generative AI agent adoption, regulatory scrutiny, and novel attack surfaces in voice and multimodal interfaces. The global AI security market was valued at $2.5 billion in 2023 and is projected to reach $12 billion by 2028 [MarketsandMarkets, 2024]. The market for AI governance, risk, and compliance (GRC) software is forecast to grow from $1.1 billion in 2023 to $4.7 billion by 2028 [Gartner, 2024].

Metric	Value
AI Security Market 2023	$2.5B
AI Security Market 2028	$12B
AI GRC Software 2023	$1.1B
AI GRC Software 2028	$4.7B

Data Accuracy: YELLOW -- Market sizing is drawn from analogous, third-party analyst reports; specific segmentation for AI agent red-teaming is not publicly available.

Competition and Substitutes

Audn.AI enters a competitive landscape defined by established platform security vendors and AI-specific startups. Broad-spectrum application security platforms like Snyk and Wiz have introduced AI security modules, while dedicated startups like Lakera and Protect AI address specific threat vectors [Snyk, 2024] [Wiz, 2024] [Lakera, 2024] [Protect AI, 2024].

Audn.AI's current edge appears to be its proprietary attack corpus and its integrated, adversarial loop architecture. The company claims its Audn Red tool contains over 50,000 attack techniques, with over 500 new ones added daily, and has tested over 200 models with a 94% success rate [Audn.AI Audn Red, retrieved 2024]. Its provision of Pingu Unchained positions it as a tool provider for security researchers [Audn.AI Pingu Unchained, retrieved 2024].

Data Accuracy: YELLOW -- Competitive analysis is inferred from public descriptions of adjacent players; no direct competitor citations are available for Audn.AI.

Opportunity

Audn.AI aims to become the default security infrastructure for production AI agents. The company’s early wedge into automated voice-agent red teaming provides a concrete entry point into securing open-ended, conversational AI interfaces. The platform’s ability to map vulnerabilities to major compliance frameworks like OWASP, NIST, and the EU AI Act addresses a pressing need for auditability [Audn.AI homepage, retrieved 2024].

Data Accuracy: YELLOW -- The opportunity analysis is based on the company's published product capabilities and integration claims.

Sources

1. [Audn.AI homepage, retrieved 2024] Audn.AI | https://audn.ai/
2. [Audn.AI Audn Red, retrieved 2024] Audn Red - AI Penetration Testing & Attack Corpus | https://audn.ai/audn-red
3. [Audn.AI Pingu Unchained, retrieved 2024] Introducing Pingu Unchained: The Unrestricted LLM for High-Risk Research | Audn.AI Security Research | https://blog.audn.ai/posts/pingu-unchained
4. [Audn.AI blog, retrieved 2024] AI Security Research & Red Teaming | Audn.AI Security Research | https://blog.audn.ai/
5. [Audn.AI Voice AI Red Teaming, retrieved 2024] Voice AI Red Teaming | https://audn.ai/red-voice
6. [Audn.AI Pingu Pricing, retrieved 2024] Pingu Pricing | https://pingu.audn.ai/billing
7. [Audn.AI - $1105 last 30 days, retrieved 2026] Audn.AI - $1105 last 30 days | https://trustmrr.com/startup/audn-ai
8. [InfoWorld, retrieved 2026] 19 large language models redefining AI safety,and danger | InfoWorld | https://www.infoworld.com/article/3719999/19-large-language-models-redefining-ai-safety-and-danger.html
9. [Which AI should i use to learn? | r/cybersecurity on Reddit, retrieved 2026] Which AI should i use to learn? | r/cybersecurity on Reddit | https://www.reddit.com/r/cybersecurity/comments/1nukeiw/yesterday_i_was_using_ai_to_persuade_another_ai/
10. [MarketsandMarkets, 2024] AI Security Market Size, Share, Industry Trends, Forecast 2028 | MarketsandMarkets | https://www.marketsandmarkets.com/Market-Reports/ai-security-market-220634996.html
11. [Gartner, 2024] Gartner Forecasts Worldwide AI Governance, Risk and Compliance Software Market to Reach $4.7 Billion by 2028 | Gartner | https://www.gartner.com/en/newsroom/press-releases/2024-10-08-gartner-forecasts-worldwide-ai-governance-risk-and-compliance-software-market-to-reach-4-7-billion-by-2028
12. [Snyk, 2024] Snyk AI Security | https://snyk.io/product/ai-security/
13. [Wiz, 2024] Wiz AI Security Posture Management | https://www.wiz.io/solutions/ai-security
14. [Lakera, 2024] Lakera Guard | https://www.lakera.ai/lakera-guard
15. [Protect AI, 2024] Protect AI | https://protectai.com/
16. [Audn.AI Security Research, retrieved 2024] Jailbreaking Sora 2: When AI Safety Becomes a Remix Problem | Audn.AI Security Research | https://blog.audn.ai/posts/jailbreaking-sora-2-remix-problem