DeepTrust
Real-time call-security platform that detects voice/video deepfakes and social-engineering attempts during live enterprise calls.
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DeepTrust (legal entity DeFaked Inc., dba DeepTrust) builds a call-security product that runs on employee devices and analyzes live voice and video calls in real time for social engineering, impersonation, deepfakes and policy violations, integrating with Zoom, Microsoft Teams, Google Meet, RingCentral and similar platforms. When the system flags a risk, it gives the employee real-time guidance and, if the risk persists, alerts the security team with call context, without a bot visibly joining the call.
The core differentiator is scope: rather than scanning recorded media after the fact for deepfake artifacts (the approach of most deepfake-detection vendors), DeepTrust analyzes the live conversation itself at points of highest risk — help-desk calls, executive meetings, hiring interviews, contact centers — where incidents like the MGM Resorts and Arup deepfake-enabled frauds actually occurred. Founded in 2023 in San Francisco by CEO Aman Ibrahim (ex-Cruise ML engineer) and COO Noah Kjos, the company has raised roughly $3.7M in pre-seed funding and, as of its own site, runs in closed enterprise cohorts rather than general availability.
Innovation Matrix Assessment
Built a real-time, in-call analysis approach (versus after-the-fact media forensics) and has iterated integrations across Zoom, Teams, Meet and RingCentral within roughly two years of founding, though the product remains in closed cohorts, not GA.
Addresses a genuine blind spot — security teams have no visibility into what happens on live help-desk, hiring or executive calls — which training and callback-verification policies alone don't solve.
Only a $3.7M pre-seed round, no publicly named paying customers, and the company's own site describes the product as running in closed enterprise cohorts rather than being generally available.
Real-time live-call protection is a distinct sub-approach versus the more common after-the-fact deepfake media-forensics model, but the broader voice/video fraud-defense space already includes several well-funded competitors (e.g., Pindrop, GetReal Security), so it is a variant, not a new category.
No independent test results or named customer outcomes were found; the company's references to MGM Resorts, Arup and Scattered Spider are cited as industry context for the threat, not as incidents DeepTrust itself stopped, and a cited Gartner "Pioneer" mention is self-reported by the company.
Voice- and video-deepfake-enabled social engineering is a rapidly growing, durable threat as generative AI voice/video synthesis improves, so real-time call protection is likely to become more relevant, not less, over the next several years.
Why CISOs Should Care
Closes a visibility gap at the exact moment deepfake-enabled social engineering succeeds — the live call itself — rather than relying solely on employee training that deepfake scams increasingly defeat.
What Makes It Different
Analyzes the live call itself in real time for behavioral and audio-authenticity red flags, rather than scanning a recorded video/audio file after the fact for deepfake artifacts.
The Matrix Verdict
50/100 — INCREMENTAL INNOVATOR
Sits at the low end of Incremental Innovator, bordering Emerging/Unranked: the real-time, in-call approach is sensible and addresses a real and worsening threat, but with no GA product, no disclosed paying customers, and no independent efficacy evidence yet, it should be read as a promising early-stage bet rather than a proven solution.
Editorial Note: Claims vs. Verified Findings
The company's claimed Gartner 'Pioneer' recognition and Google for Startups Growth Academy participation come only from DeepTrust's own social posts and were not independently confirmed. Funding ($3.7M) and 2023 founding year are corroborated across PitchBook, Gartner and Caplight listings, though the exact round date and stage label (pre-seed vs. seed) vary by source.
Sources
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