Frame Security raises $50M to defend against AI-powered social engineering and deepfake attacks

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Frame Security emerged from stealth with $50 million in funding to tackle the surge in AI-powered social engineering and deepfake attacks. Founded by Israeli Unit 8200 veterans, the startup offers an AI-driven platform that replaces outdated security awareness methods with realistic attack simulations and personalized training, aiming to strengthen the human element in cybersecurity as 90% of breaches still involve human error.

Frame Security Launches AI-Driven Platform With $50M Backing

Frame Security launched today with $50 million in funding to address a critical vulnerability in enterprise cybersecurity: the human element. The startup, co-led by Index Ventures, Team8, and Picture Capital Management, secured participation from notable investors including Wiz CEO Assaf Rappaport and technology investor Elad Gil, who initially backed the company as an angel and expanded his position through Gil Capital

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. The funding arrives as organizations grapple with a troubling reality: despite 96% of companies running security awareness programs, roughly 90% of data breaches still involve human error

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The timing reflects mounting urgency around AI-powered social engineering threats. Gartner data shows that 43% of cybersecurity leaders encountered at least one deepfake audio call in 2025, while 37% faced deepfake video calls

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. These attacks target employees across email, chat, voice, and video channels, with perpetrators impersonating executives and colleagues to steal credentials, authorize fraudulent payments, or gain unauthorized system access.

Combating Social Engineering and Deepfake Attacks Through Adaptive Training

Frame Security positions its AI-driven platform as a replacement for the quarterly slide decks and static phishing simulations that currently dominate corporate security awareness methods. The company argues these traditional approaches fail to keep pace with emerging threats, leaving employees unprepared for the sophisticated attacks they encounter daily. "AI has made social engineering attacks dramatically easier to create and much harder to detect," explains Tal Shlomo, co-founder and CEO of Frame Security. "Even the most advanced cybersecurity systems couldn't eliminate the risk introduced by human behavior"

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Source: Newswire

Source: Newswire

The platform uses artificial intelligence to generate realistic attack simulations tailored to individual employees based on their roles and behavioral patterns. When new attack patterns surface, security teams can deploy relevant training within minutes rather than waiting for the next quarterly cycle

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. This adaptive approach addresses a fundamental challenge: employees make hundreds of operational decisions daily that carry potential security implications, yet most receive only periodic, generic training that doesn't reflect how attackers actually operate.

Veteran Founders Target Growing Market Opportunity

Co-founders Tal Shlomo and Sharon Shmueli bring substantial credentials from Israel's elite Unit 8200 intelligence unit. Shlomo joined Wiz as one of its earliest employees, contributing to the cloud security company's growth trajectory before Google acquired it for $32 billion

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. Shmueli previously served as chief technology officer at Team8's venture platform at age 25, evaluating and building next-generation cybersecurity companies at a firm managing over $2 billion in assets

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The market opportunity appears substantial. The global security awareness training market is projected to reach $13 billion by 2027

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, driven by the escalating cost of data breaches and regulatory pressure to strengthen human security defenses. Frame Security reports it already serves tens of enterprise customers, including Louis Dreyfus Company and AlphaSense, despite only formally launching today

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Personalized Training for Employees Addresses Real-World Threats

Frame's approach centers on continuous analysis of employee behavior and organizational patterns to identify the specific threats individual workers are most likely to encounter. The system provides on-the-spot guidance and hyper-personalized training rather than generic modules disconnected from daily workflows. This methodology aims to defend against AI-powered social engineering by preparing employees for the actual attack vectors they face, not theoretical scenarios from outdated training materials.

Source: SiliconANGLE

Source: SiliconANGLE

"Human risk exists in any company with an employee," said Shardul Shah, partner at Index Ventures. "Those employees need to be prepared for the threats they're facing today, not a static approximation of threats from five years ago. Frame is building a platform that makes that possible"

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. The new capital will fund engineering expansion, cybersecurity research, and a broader U.S. and international market push

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. As generative AI continues lowering the barrier for sophisticated attacks, organizations face mounting pressure to strengthen the human element in cybersecurity—a challenge Frame Security aims to address by transforming employees from the weakest link into an active defense layer.

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