imper.ai Launches With $28M to Stop Deepfake Attacks

imper.ai, a cybersecurity startup focused on stopping AI-driven impersonation and social engineering attacks, has launched publicly with $28 million in funding from Redpoint Ventures and Battery Ventures. Additional participation came from Maple VC, Vessy VC, and Cerca Partners.

The company enters the market at a critical moment. Impersonation-related cyberattacks—powered by deepfakes, synthetic voices, and AI-generated identities—have surged tenfold in the past year, making them one of the fastest-growing threats in enterprise security.

imper.ai’s platform provides real-time detection of impersonation risk across widely used communication systems such as Zoom, Teams, Slack, WhatsApp, and Google Workspace. The system analyzes multiple security signals from network devices and digital personas to detect malicious behavior that traditional tools often miss.

The new funding will accelerate expansion and support the company’s mission to prevent impersonation and social engineering attacks at their source. Enterprises across finance, healthcare, and technology are already deploying the platform to protect digital communications.

The urgency is clear. A social-engineering ransomware incident at Marks & Spencer recently disrupted operations and is expected to cost the retailer nearly $380 million in profit. Meanwhile, the FBI reports that business email compromise scams caused $2.8 billion in losses last year.

According to Deloitte, AI-enabled impersonation attacks could drive $40 billion in annual losses in the U.S. by 2027. These trends illustrate how identity has become the modern attack surface, outpacing legacy content-filtering and identity-verification tools.

imper.ai was founded by cyber-intelligence veterans Noam Awadish, Anatoly Blighovsky, and Rom Dudkiewicz, all of whom bring deep experience from elite defense and intelligence units.

Unlike tools that only scan content, imper.ai analyzes “digital breadcrumbs” attackers cannot fake—device telemetry, network diagnostics, and behavioral patterns. Its agentless platform operates silently without disrupting workflows.

Investors see imper.ai as building a foundational layer of enterprise security. As social-engineering attacks grow more sophisticated, real-time verification will be essential for protecting trust, privacy, and business continuity.