imper.ai raises $28m to fight AI impersonation attacks

imper.ai

Imper.ai, the cyber-intelligence-led impersonation prevention platform, has officially launched with backing from several major investors, reflecting rising concern about AI-driven identity attacks.

The firm has secured $28m in funding from Redpoint Ventures and Battery Ventures, with participation from Maple VC, Vessy VC and Cerca Partners.

Built by veterans of elite cyber units, imper.ai focuses on preventing impersonation threats in real-time. Its technology monitors behaviour and system indicators across widely used enterprise platforms including Zoom, Microsoft Teams and Slack. The company said it analyses multiple digital markers to spot malicious intent that conventional security filters fail to detect.

Funding will support imper.ai’s efforts to help businesses defend against increasingly sophisticated fraud tactics such as deepfake voice cloning, video deception and social-engineering. The company said the capital will be used to scale its platform and help more CISOs strengthen prevention strategies before crises unfold.

The threat landscape underpinning imper.ai’s launch reflects escalating financial and operational risks. A social-engineering attack at Marks & Spencer recently disrupted supply chains and halted online transactions, with losses expected to reach $380m. Jaguar Land Rover was also hit by a similar attack that reportedly forced production shutdowns and contributed to estimated losses of $1.5bn. Meanwhile, FBI figures show that business email compromise scams alone resulted in $2.8bn in losses last year. Deloitte forecasts AI-enabled impersonation attacks could cost US organisations $40bn annually by 2027, highlighting a growing need for new defences.

Imper.ai’s agentless product promises seamless integration with existing business tools, running quietly across workplace applications such as WhatsApp, Google Workspace, IT helpdesk systems and applicant tracking tools. Rather than scanning content, it interprets organisational knowledge and the hidden signals attackers struggle to counterfeit — from network diagnostics to telemetry patterns.

Imper.ai co-founder and CEO Noam Awadish said, “AI-driven impersonation has become one of the biggest drivers of financial loss and reputational risk for enterprises. Gartner expects that by 2027, half of all enterprises will invest in anti-deepfake and disinformation-security tools, a clear sign this is no longer a niche issue. We built imper.ai to help CISOs strengthen their defenses and focus on prevention instead of crisis response.”

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