Voice phishing simulations for 20,000 employees required realistic executive voices. AI voice cloning generated indistinguishable calls.
A Spain-based cybersecurity platform running human risk simulation campaigns that reach up to 20,000 employees daily across Spain and Latin America.
To effectively train employees, the platform needed to execute highly realistic voice-based phishing attacks, such as impersonating a CFO requesting...
“At Zepo, we believe people are the first line of defense in cybersecurity. ElevenLabs gave us the ability to make our vishing simulations sound indistinguishable from a real call — and that's when behavior actually changes.”
AI-powered human risk management and security awareness training platform.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Zepo's Cybersecurity training is part of this use case:
Related implementations across industries and use cases
Role-play felt awkward and inauthentic. AI agents now simulate realistic calls, coaching reps on tone and objections at scale.
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Generic voices and lag broke immersion. Cloned AI personas now power real-time roleplay, cutting voice costs by 40%.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
Text-heavy modules took 5 hours to complete and months to translate. L&D replaced them with AI videos, rolling out updates in weeks.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Voice phishing simulations for 20,000 employees required realistic executive voices. AI voice cloning generated indistinguishable calls.
A Spain-based cybersecurity platform running human risk simulation campaigns that reach up to 20,000 employees daily across Spain and Latin America.
To effectively train employees, the platform needed to execute highly realistic voice-based phishing attacks, such as impersonating a CFO requesting...
“At Zepo, we believe people are the first line of defense in cybersecurity. ElevenLabs gave us the ability to make our vishing simulations sound indistinguishable from a real call — and that's when behavior actually changes.”
AI-powered human risk management and security awareness training platform.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Zepo's Cybersecurity training is part of this use case:
Related implementations across industries and use cases
Role-play felt awkward and inauthentic. AI agents now simulate realistic calls, coaching reps on tone and objections at scale.
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Generic voices and lag broke immersion. Cloned AI personas now power real-time roleplay, cutting voice costs by 40%.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
Text-heavy modules took 5 hours to complete and months to translate. L&D replaced them with AI videos, rolling out updates in weeks.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.