Moderate evidence
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Neural Defend ranked #1 in the world for audio deepfake detection
- Evidence type
- Benchmark or lab evaluation
- Sample
- n = 4,524
- Sources
- 1 sourceJournalism
- Published
- 2 min read
- Truvace record
- TRV-2026-2876cite or check it
New Delhi [India], November 12: Neural Defend has been ranked number one in the world for detecting AI-generated voices. On an independent, publicly scored benchmark run by voice-AI evaluation firm Podonos, its Arcas 290M and Arcas 90M models hold first and second place among 28 detection systems, each scoring 99.93% on 4,524 audio clips. VMPL New Delhi [India], November 12: Neural Defend has been ranked number one in the world for detecting AI-generated voices. On an independent, publicly scored benchmark run…
The gain
On a Podonos benchmark of 4,524 audio clips, Neural Defend's Arcas 290M and 90M detectors each made three errors (99.93%), while Pindrop scored 95.05%, Hive 83.53% and Reality Defender 71.27%, according to a company press release.
In brief
Neural Defend, a New Delhi company, says its Arcas 290M and Arcas 90M models took first and second place among 28 audio deepfake detection systems on a benchmark run by the voice-AI evaluation firm Podonos. Each scored 99.93% on 4,524 clips, with three errors apiece.
The release says most vendors publish accuracy on test sets they control, so figures cannot be compared. Podonos, backed by NAVER, keeps its answer keys private and scores submitted predictions itself, on the same clips and with the same method.
Of the 28 systems, 18 are commercial products from 16 vendors. Pindrop placed 13th at 95.05%, Hive 17th at 83.53% and Reality Defender 18th at 71.27%. The account comes from a syndicated company press release, with quotes from Neural Defend executives.
Main points
- Each Arcas model made three errors in 4,524 files, a false-positive rate of 0.1% and a false-negative rate of 0.0%.
- The leaderboard has 28 systems: 18 commercial products from 16 vendors, plus open-source and research models.
- Arcas 90M matches the top score, runs a quarter faster at 89 ms per file and can run offline on a phone.
- Arcas 290M runs in the cloud via API or SDK, on-premises or in a cloud the customer chooses.
- Podonos keeps answer keys private and scores every vendor's predictions itself, per the release.
- Neural Defend targets banking, payments, call centres, KYC, insurance, ride and delivery platforms, dating and media.
The full story
Podonos called the result "the closest any system has come to a clean sweep of this set." The leaderboard is public at podonos.com, and Podonos founder Soohyun Bae congratulated Neural Defend on LinkedIn, the release says.
Neural Defend CTO Sivashankar Selvarajan said the company sent predictions without knowing the answers. CDO Sumit Singh said the 90M model matches much larger models from unicorn companies at a fraction of the cost.
CEO Piyush Verma said AI voice fraud is growing fast and global, hitting banks, contact centres, insurers and telecoms. Neural Defend works with clients in India, the Middle East, Southeast Asia and the United States.
Sources
1 on file- The Tribunetribuneindia.com
Talk it over
Who gets this benefit, and who was left out of the study or story?
Neural Defend ranked #1 in the world for audio deepfake detectionhttps://truvace.com/item/neural-defend-ranked-1-in-the-world-for-audio-deepfake-detection
Who gets this benefit, and who was left out of the study or story?
The gain On a Podonos benchmark of 4,524 audio clips, Neural Defend's Arcas 290M and 90M detectors each made three errors (99.93%), while Pindrop scored 95.05%, Hive 83.53% and Reality Defender 71.27%, according to a company press release.
Answer in the threadHow do we know? What can this kind of evidence show, and what can’t it?
The evidence This rests on a benchmark or lab test with a sample of 4,524, from The Tribune.
Answer in the threadWhat does it leave open? What else would you want to know before acting on it?
The record’s own caveat The article is a syndicated advertorial press release from VMPL, and the results come from one benchmark of 4,524 clips rather than from live fraud-detection use.
Answer in the threadHave you seen AI used this way where you study, work or live? Did it go the same way?
Answer in the thread
The questions are the same on every record. The details under them are taken from this record as written.
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