Verifying the real human behind every workforce interaction - from the first interview to the help-desk password reset.
Nearly every large enterprise breach of the past two years begins the same quiet way - not with a cracked firewall, but with a conversation. Someone calls a help desk, sounds convincing, and asks to reset an account. The MGM Resorts, Marks & Spencer, and Harrods incidents all trace back to that moment of misplaced trust. imper.ai, a cybersecurity company headquartered in New York, exists to close it.
Founded in 2024, imper.ai describes itself as the first identity verification platform purpose-built for the workforce. Where traditional identity tools check a document or a face at the point of login and then trust the session forever, imper.ai treats identity as something that must be confirmed across the whole employee lifecycle: when a candidate is interviewed, when a worker acts inside enterprise systems, and - critically - when someone asks to recover an account. The premise is blunt. In an era of deepfakes, voice cloning, and breach-data-fueled social engineering, the weakest link is not the channel. It is the assumption that the person on the other end is who they claim to be.
The company was built by three veterans of Israel's elite Unit 8200 intelligence unit, who say the idea took shape during reserve service in wartime while protecting real-time communications. They noticed the same gap the rest of the industry kept stepping around - the human behind the session was being verified by little more than confidence and a plausible story.
That reframing - from guarding the perimeter to exposing the impersonator - shapes everything imper.ai builds. Its platform does not ask employees to upload passports or submit to biometric scans. Instead it reads the environment the person is operating from and asks questions only the real employee could answer from actual work context.
It is an approach designed for a specific and growing threat: generative AI has made impersonation cheap, fast, and convincing. A fraudster no longer needs to be a skilled hacker. They need a stolen credential, a cloned voice, and a help-desk agent trained to be helpful. imper.ai's argument is that the answer cannot be more friction for legitimate users - it has to be better signal, gathered invisibly, in the flow of work.
Attackers call in and talk their way past an agent's discretion. imper.ai removes the guesswork from recovery decisions, eliminating the social-engineering opening behind breaches at MGM, Harrods, and Marks & Spencer.
Fake applicants and AI-driven interview impersonation aim to get credentials issued to people who do not exist. imper.ai assesses a candidate's environment across multiple interviews - before a badge is ever printed.
Illegitimate or hidden workers slip into remote roles and daily operations. imper.ai continuously confirms the human behind the account across the tools where work actually happens.
imper.ai combines two purpose-built technologies into a single agentless flow that slots into existing ITSM, HR, and applicant-tracking systems - no new app for employees to learn.
The platform triggers inside an existing workflow - a recovery request, an interview, a sensitive action.
→Hundreds of device, network, and behavioral signals are checked against expected interaction patterns.
→A live score with policy thresholds lets teams allow, restrict, or block the session instantly.
→Dynamic, role-based questions grounded in real work context confirm the person - not their stolen data.
Rather than trusting a document, the Impersonation Detection Engine reads the environment an attacker cannot easily fake.
Verification happens with no passport uploads, no face scans, and no manual review - avoiding the friction and privacy weight of traditional identity proofing.
It integrates into existing workflows and communication tools without deploying software on endpoints, keeping operations undisturbed.
Contextual prompts draw on real work information that cannot be sourced from breached data or public records - defeating breach-driven attacks.
One platform spans hiring, daily work, and help-desk recovery, rather than verifying identity only once at login.
imper.ai sits in the emerging workforce-identity and ITDR category alongside players such as Nametag and Persona in help-desk verification, Socure and CLEAR in identity verification, and Reality Defender in deepfake detection. Its distinguishing bet is the pairing of infrastructure-signal impersonation detection with context-grounded human verification, sold as enterprise-native infrastructure and compliant with SOC 2 Type II, GDPR, and CCPA.
Former Chief of Staff to the EVP of Autonomous Vehicles at Mobileye, following service in Unit 8200. Leads the company's vision and go-to-market.
Previously headed two cyber divisions and served as Unit 8200's Chief Information Security Officer. Owns product direction.
Former vulnerability researcher and section leader at Unit 8200. Leads the engineering and detection technology.
"Verify the human behind every interaction."
Three Unit 8200 veterans establish the company after spotting a real-time communications security gap during reserve service.
Raises $6.5M to build real-time defense against AI-driven impersonation and social engineering.
Emerges from stealth with a $21.5M Series A and $28M total, led by Redpoint Ventures and Battery Ventures.
Launches its Workforce Identity Security platform at RSAC 2026, targeting help desk, hiring, and shadow-workforce use cases.
imper.ai sells to security and IT teams at enterprises in banking, financial services, insurance, healthcare, manufacturing, telecom, technology, and critical infrastructure. Early adopters span finance, healthcare, and technology - sectors where a single fraudulent account-recovery call or a fake hire can be catastrophic. The business model is B2B SaaS: an enterprise subscription to an agentless platform that plugs into existing ITSM, HR, and applicant-tracking systems and works across the communication tools where employees already operate - Zoom, Microsoft Teams, Slack, WhatsApp, and Google Workspace.
Enterprise subscription, agentless deployment, sold to security and IT buyers.
ITSM, HR, ATS (e.g. Greenhouse), plus Zoom, Teams, Slack, WhatsApp, Google Workspace.
Built to meet enterprise security and privacy requirements out of the box.
It provides an identity verification platform for the workforce that detects impersonation and prevents account takeover across the employee lifecycle - hiring, daily work, and help-desk account recovery - by combining infrastructure-signal analysis with AI-driven contextual verification.
It was founded in 2024 by Noam Awadish (CEO), Anatoly Blighovsky (CPO), and Rom Dudkiewicz (CTO), all veterans of Israel's Unit 8200. It is headquartered in New York with R&D in Israel.
$28M in total - a $6.5M seed round and a $21.5M Series A - led by Redpoint Ventures and Battery Ventures, with Maple VC, Vesey Ventures, and Cerca Partners participating.
It uses no documents, biometrics, or manual review. Instead it reads device, network, and behavioral signals to spot attacker-controlled environments and asks role-specific questions grounded in real work context that cannot be found in breached data.
Help-desk vishing and account-recovery attacks, hiring fraud and deepfaked candidates, and shadow-workforce infiltration - the social-engineering vectors behind breaches like MGM, Marks & Spencer, and Harrods.
Looking for a walkthrough? Product demos and founder interviews are published via imper.ai's LinkedIn page and on the platform site. No official YouTube channel was publicly listed at the time of writing.