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Hypr

Hypr Vendor Cyber Rating & Cyber Score

linkedin.com

Hypr builds and runs data infrastructure for mid-market companies that need reliable analytics but can't justify a data engineering team. We take fragmented data from across your systems and turn it into a managed warehouse with live dashboards your team can actually use. We handle everything from initial discovery through to deployment and ongoing managed service. Your data infrastructure is always monitored, maintained, and evolving with your business. Hypr is a product of Elucidate AI, a data science and ML firm founded in 2018 delivering production-grade solutions across four continents.


Hypr A.I CyberSecurity Scoring

Hypr
Company Information
Website:https://www.linkedin.com/redir/suspicious-page?url=https%3A%2F%2Fusehypr%2ecom
Employees number:5
Number of followers:39
NAICS:518
Industry Type:Data Infrastructure and Analytics
Homepage:linkedin.com
Hypr Risk Score (AI oriented)
Between 750 and 799
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HyprData Infrastructure and Analytics
Updated:
18/09/2026
751/1000
Fair
Baa
AaaAaABaaBaBCaaCaC
Powered by our proprietary A.I cyber incident model
Insurance prefers TPRM score to calculate premium
Hypr Global Score (TPRM)
xxxx
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HyprData Infrastructure and Analytics
•••
Score locked
Instant access to detailed risk factors
Vulnerabilities
Benchmark vs. industry & size peers
Findings

HyprFair
Current Score
751Baa (FAIR)
01000
1 incidents
-5 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
SEPTEMBER 2026
756Before Incident
Vulnerability
18 Sep 2026Hypr
HYPR: 98% of fraudulent hires have company credentials by the time they’re caught

Enterprise Identity Security Blind Spot: The 90-Day Hiring Fraud Gap

751After Incident
CRITICAL-5
USE1789734393
Enterprise Identity Security Blind Spot: The 90-Day Hiring Fraud Gap A new report from HYPR reveals a critical vulnerability in enterprise identity security: the 90-day window between hiring and onboarding, where fraudulent employees can gain legitimate access to corporate systems. According to CEO Bojan Simic, attackers no longer need to breach networks when they can pass remote interviews and obtain authentic credentials directly from IT. The lack of purpose-built verification technology means many fraudulent hires go undetected, leaving organizations exposed. Fragmented Fraud Detection While 98% of HR leaders have encountered candidate fraud, 96% believe their organizations would catch it. Yet when fraud slips through pre-hire checks, malicious actors receive credentials and network access before detection. Fraud is most commonly identified during screening, interviews, onboarding, or technical assessments averaging just 2.2 checkpoints per incident. Identity verification tools are often limited to specific events (e.g., account creation, sensitive transactions), leaving gaps where fraudulent hires operate undetected. Recruitment platforms are beginning to integrate anti-fraud features, but third-party security tools detect only 53% of identity-based and AI-driven threats. The rest rely on manual discovery, such as employee reports or audits. Even in sectors with mandated automated controls, nearly half of threats depend on manual intervention. Sector-Specific Confidence Gaps Confidence in fraud detection varies by industry. IT and telecommunications, despite their technical capabilities, rely heavily on manual observation. Education shows the widest gap between concern and confidence, while manufacturing and utilities with in-person hiring practices report higher confidence. Sales, media, and marketing stand out as the only sector where confidence exceeds concern, leaning on employees to flag suspicious activity. Ownership Gaps and Attacker Exploitation Pre-hire identity risk ownership is often unclear in practice. HR typically handles recruitment, while IT and security take over once credentials are issued. The transition period between these stages lacks a defined owner, creating opportunities for attackers to embed themselves before detection. Even after hiring, fraud may only be discovered after credentials are already issued. Costs and Reactive Responses Resolving hiring fraud incidents takes one to three weeks, incurring financial and operational costs including delayed hiring, lost productivity, security risks, and compliance violations. By the time fraud is detected, 98% of malicious hires have already received company credentials. Organizations respond with an average of 2.52 measures per incident, such as implementing identity verification tools. However, identity security spending remains largely reactive, with 60% of investments triggered by breaches rather than proactive prevention.
INCIDENT DETAILS -
TYPE
Identity Fraud / Insider Threat
IMPACT
Financial Loss: Costs of resolving hiring fraud (1-3 weeks), delayed hiring, lost productivitySystems Affected: Corporate networks, IT systems (via issued credentials)Operational Impact: Delayed hiring, lost productivity, security risks, compliance violationsLegal Liabilities: Compliance violations
AUGUST 2026
756Before Incident
JULY 2026
756Before Incident
JUNE 2026
756Before Incident
MAY 2026
756Before Incident
APRIL 2026
756Before Incident
MARCH 2026
756Before Incident
FEBRUARY 2026
756Before Incident
JANUARY 2026
756Before Incident
DECEMBER 2025
756Before Incident
NOVEMBER 2025
756Before Incident
OCTOBER 2025
756Before Incident

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Hypr Cyber Scoring History | Rankiteo