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Detection and Response

Managed Services
MDR - Kudelski Security
Managed Detection and Response
MDR ONE Resolute - Kudelski Security
MDR ONE Resolute
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 MDR for OT
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Proactive Threat Hunting
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24/7 IR Retainer
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Continuous Credential Leak Monitoring
By Technology
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Microsoft
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CrowdStrike
Splunk
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Claroty
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Threat Exposure Management

CTEM
Cyber Threat Int SaaS
CTEM Strategy and Operations
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Continuous Asset and Threat Visibility
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External Attack Surface Management
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Risk-Based Vulnerability Management
Offensive Security
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Penetration Testing
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Red Team
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Purple Team
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Breach Attack Simulation
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IR & Digital Forensics

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Cyber Readiness & Peparedness
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Tabletop Exercises
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Cyber Emergency Response Team
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24/7 IR Retainer
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Advisory Services

Strategy, Risk & Compliance
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Maturity Assessment
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Cyber Risk Quantification
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Compliance As a Service
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Zero Trust Assessment
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Third-Party Risk Management
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Local Regulations Assessment
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Cloud Security Posture Assessment
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Virtual CISO
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AI & Emerging Technology Security

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AI Strategy & Security
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Blockchain Security Assessment
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Quantum Computing Security
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Operational Technology & CPS

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OT Security Assessment
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CPS Security Assessment
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 MDR for OT
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Third-Party Risk Management
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Product Security

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Product Security
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Leadership Board
Practice Leaders Board

Joo Yeon Cho

Blockchain Expert

Joo Yeon Cho is a blockchain expert at Kudelski Security with extensive experience in cryptographic research and security analysis.He specializes in the security of a broad range of cryptographic applications, with particular expertise in blockchain technology.He has been with Kudelski Security for 3 years and has consistently maintained cutting-edge technical knowledgewhile helping clients implement robust security solutions to protect their business interests.

Blockchain
August 18, 2025
·
Joo Yeon Cho

Maximal Extractable Value (MEV): The Hidden Force Shaping Blockchain Security

Cryptography
July 18, 2025
·
Joo Yeon Cho

Quantum-Proof Your Future: Navigating Certification for Post-Quantum Cryptograph

Blockchain
April 8, 2025
·
Joo Yeon Cho

ZKML: Verifiable Machine Learning using Zero-Knowledge Proof

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