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Nisos

Nisos Vendor Cyber Rating & Cyber Score

nisos.com

Nisos is the human risk management company specializing in unmasking threats before they escalate. We are a trusted advisor who operates as an extension of security, intelligence, legal, and human resource teams to protect their people and business. Our intelligence-led solutions help enterprises make critical decisions, manage human risk, and drive real world consequences for digital threats. For more information visit: www.nisos.com


Nisos A.I CyberSecurity Scoring

Nisos
Company Information
Website:https://www.nisos.com
Employees number:105
Number of followers:7,979
NAICS:
Industry Type:Data Security Software Products
Homepage:nisos.com
Nisos Risk Score (AI oriented)
Between 700 and 749
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NisosData Security Software Products
Updated:
30/04/2026
721/1000
Moderate
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Powered by our proprietary A.I cyber incident model
Insurance prefers TPRM score to calculate premium
Nisos Global Score (TPRM)
xxxx
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NisosData Security Software Products
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Findings

Nisos
NisosModerate
Current Score
721Ba (MODERATE)
01000
2 incidents
-19 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
AUGUST 2026
724Before Incident
JULY 2026
724Before Incident
JUNE 2026
723Before Incident
MAY 2026
740Before Incident
Cyber Attack
30 Apr 2026Nisos
Nisos: Security Breach: Rayn Lasalle

North Korean Hackers Leverage AI in Sophisticated Scam Targeting Industries

721After Incident
CRITICAL-19
NIS1777581234
North Korean Hackers Leverage AI in Sophisticated Scam Targeting Industries In a rare firsthand account, Ryan LaSalle, CEO of human risk management firm Nisos, revealed details of an AI-driven cyberattack orchestrated by North Korean threat actors. The incident underscores the growing sophistication of state-backed hackers leveraging artificial intelligence to breach critical systems, particularly in the manufacturing sector. LaSalle’s team uncovered the scam, which exploited AI tools to enhance social engineering tactics, financial fraud, and intellectual property theft. The attack highlights the escalating risks posed by foreign adversaries using advanced technologies to infiltrate high-value industries, with potential consequences ranging from financial losses to compromised proprietary data. The disruption of this operation by Nisos provides a case study in how AI-powered threats are evolving and why organizations must treat such intelligence with heightened urgency. The full investigation report offers deeper insights into the methods and impact of these emerging cyber risks.
INCIDENT DETAILS -
TYPE
Cyberattack
MOTIVATION
Financial gain, intellectual property theft
IMPACT
Data Compromised: Proprietary data
DATA BREACH
Type Of Data Compromised: Intellectual property, proprietary dataSensitivity Of Data: High
APRIL 2026
740Before Incident
MARCH 2026
740Before Incident
FEBRUARY 2026
739Before Incident
JANUARY 2026
739Before Incident
DECEMBER 2025
739Before Incident
NOVEMBER 2025
738Before Incident
OCTOBER 2025
738Before Incident
SEPTEMBER 2025
737Before Incident
JUNE 2025
754Before Incident
Cyber Attack
01 Jun 2025Nisos
Nisos: North Korean IT Worker Used Stolen Identity, AI-Generated Resume in Job Scam

North Korean Operative Attempts AI-Assisted Fraud to Infiltrate U.S. Cybersecurity Firm

735After Incident
CRITICAL-19
NIS1774881212
North Korean Operative Attempts AI-Assisted Fraud to Infiltrate U.S. Cybersecurity Firm A suspected North Korean IT worker attempted to secure a senior remote role at U.S.-based threat intelligence firm Nisos in June 2025, using a stolen identity, AI-generated materials, and sophisticated remote access tools. The incident underscores the evolving tactics of DPRK-linked employment fraud, blending traditional identity theft with AI and VPN-based anonymization. The operative applied for a Lead AI Architect position under the guise of a Florida-based full stack developer and AI specialist, using stolen personally identifiable information (PII), a fabricated email, and a VoIP phone number. Network analysis tied the applicant to Astrill VPN, a service previously linked to North Korean remote IT worker activity. The AI-generated resume closely mirrored Nisos’ job description, listing skills and technologies verbatim from the posting including programming languages, cloud platforms, and OSINT tools while the summary section reused phrasing about "researching emerging agentic AI technologies." During a virtual interview, the candidate exhibited telltale signs of AI assistance, frequently looking away from the camera, pausing with the phrase "How can I say?", and failing to recognize a fake "Hurricane George" question designed to test authenticity. Pre-employment OSINT revealed three inconsistent resume profiles under the same name, all referencing the real address of a Florida resident confirming identity theft. When Nisos shipped a corporate laptop to the provided address (different from the resume’s), tracking revealed a "laptop farm" inside a closet, containing ~20 devices managed via Raspberry Pi-based PiKVM hardware. This setup allowed remote operators to control multiple machines undetected, using Tailscale’s mesh VPN for encrypted command execution and data exfiltration. The investigation identified ~40 devices on the network, with many tied to different employee identities across multiple companies. Security researchers warn this model enables DPRK operatives to earn foreign currency and access sensitive corporate data while evading detection. The case highlights the need for enhanced remote hiring controls, including deeper identity verification and technical interviews to expose AI-assisted deception.
INCIDENT DETAILS -
TYPE
Employment Fraud / Identity Theft / Cyber Espionage
MOTIVATION
Financial gain (foreign currency earnings)Access to sensitive corporate dataCyber espionage
IMPACT
Operational Impact: Potential infiltration of corporate networks and data exfiltrationBrand Reputation Impact: Risk of reputational damage due to failed infiltration attemptIdentity Theft Risk: High (stolen PII used for fraud)
DATA BREACH
Type Of Data Compromised: Personally Identifiable Information (PII)Sensitivity Of Data: High (stolen identity used for fraud)Personally Identifiable Information: Stolen PII (name, address, email, phone number)

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