Frame Security
A Tel Aviv/New York startup building AI-generated deepfake and voice-clone phishing simulations to train employees against AI-driven social engineering.
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Frame Security builds “human risk security” training aimed specifically at AI-generated social engineering: voice-cloned calls impersonating a CEO, deepfake videos, and phishing messages that reference an employee’s real role, open positions, or recent company events. Its platform generates personalized simulations per employee, scores resulting risk, and includes a phishing triage module for reported messages.
Founded in 2025 by Tal Shlomo (CEO, an early Wiz employee) and Sharon Shmueli (CTO, previously at Team8), both veterans of Israel’s Unit 8200, the company launched publicly in May 2026 with $50 million in funding led by Index Ventures, Team8, and Picture Capital, with Wiz CEO Assaf Rappaport and investor Elad Gil also participating. It says its platform is in use at dozens of enterprises, including named customers Louis Dreyfus Company, AlphaSense, and Rockefeller Capital Management.
The differentiator from traditional security-awareness training is specificity: rather than generic phishing templates, simulations are built from each organization’s and employee’s real context, targeting the AI-generated impersonation techniques that are increasingly bypassing older training programs.
Innovation Matrix Assessment
Went from founding to a $50M funded public launch with named enterprise customers within about a year, per SecurityWeek and Calcalist coverage.
Personalized deepfake/voice-clone simulations address a real and growing gap in employee readiness, though training-based controls only partially substitute for technical detection.
A $50M round from Index Ventures, Team8, and Picture Capital, plus named customers (Louis Dreyfus, AlphaSense), is a strong signal for a company barely a year old.
Specializes an existing category (security awareness training) around AI-generated threats rather than creating a new category; several competitors (Adaptive Security, Jericho Security) are pursuing similar ground.
Customer counts and risk-reduction outcomes are company-stated; no independent study of training efficacy against real deepfake attacks was found.
AI-generated voice and video impersonation attacks are a growing, well-documented threat trend, so this specific training focus should remain relevant for years.
Why CISOs Should Care
Addresses a gap that generic phishing-simulation training doesn't cover: employees are increasingly targeted with AI-generated voice and video impersonation that looks and sounds real.
What Makes It Different
Builds simulations and risk scoring from each employee's actual role and context rather than relying on generic, one-size-fits-all phishing templates.
The Matrix Verdict
62/100 — INCREMENTAL INNOVATOR
A fast-starting, well-backed entrant tackling a timely, narrow problem. It lands as an Incremental Innovator: strong early funding and customer signal, but it specializes an existing training category rather than redefining it, and efficacy evidence remains vendor-reported.
Editorial Note: Claims vs. Verified Findings
Customer counts (SiliconANGLE's 'tens' vs. Fortune's '20 to 30') and risk-reduction outcomes are company- or press-estimate figures; no independent efficacy study was found.
Sources
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