Familiar voices
Test the trust people place in voices they recognize.
AutoVish
A Silversight product
Autonomous social engineering
AutoVish runs controlled AI voice-phishing simulations that sound like the people your team trusts, adapts to the conversation, and reveals how employees respond under pressure.
Controlled scenarios
Define the request, pressure tactics, objective, and boundaries.
Measurable outcomes
See how each target responded and where habits need reinforcement.
How AutoVish Works
AI deepfakes make scam and phishing calls that sound just like the people you work with: executives, managers, and employees. AutoVish simulates these deepfake fraud attacks so you can evaluate your responses and make changes that protect your team from the real thing.
Build your campaign.
Connect the platforms your team uses, select or clone a voice, choose your targets, and define the scenario. AutoVish brings setup, scheduling, and launch into one guided workflow.
Guided setupMove from voice and targets to a launch-ready campaign.
Scenario controlDefine the request, pressure tactics, and behavior you want to test.
Run realistic simulations.
Targets receive controlled calls using a familiar cloned voice. AutoVish adapts to each conversation while testing the verification behavior defined by the scenario.
Conversations adaptThe AI responds naturally to each target in real time.
Testing stays controlledEvery call follows a defined scenario, objective, and boundaries.
Turn results into readiness.
AutoVish reaches each target in the campaign and records how they respond. These results help your security team identify behavioral risk, reinforce verification procedures, and improve readiness through repeated testing.
Outcomes recordedSee how each target responded.
Refine and repeatUse the results to improve policy and training.
Find the verification gaps before an attacker does.
Book a demo to walk through the campaign workflow, hear what a target would hear, and see how the results can support your security awareness program.