Home Specialist skills Security LDR519: Cybersecurity Risk Management and Compliance
LDR519: Cybersecurity Risk Management and Compliance
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Gain practical skills in identifying and managing cybersecurity risks through structured threat modelling and assessment methodologies.
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Learn to prioritize and allocate resources effectively by understanding the criticality of various cybersecurity threats and vulnerabilities.
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Develop proficiency in using industry-standard frameworks, such as NIST Risk Management Framework (RMF) and FAIR, to enhance your organization's cybersecurity posture.
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Master the process of conducting comprehensive cybersecurity risk assessments and audits to ensure compliance with regulatory standards.
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Enhance your decision-making capabilities with data-driven insights and simulations, preparing you for real-world cybersecurity challenges.
Overview
Off the shelf (OTS)
LDR519: Cybersecurity Risk Management and Compliance, addresses a significant problem in the cybersecurity domain: the challenge of effectively managing and mitigating cybersecurity risks while ensuring regulatory compliance. This problem is increasingly relevant due to the complex and evolving nature of cyber threats, which can significantly impact organizational operations, data security, and overall business continuity. This comprehensive course delves into threat modeling, safeguard frameworks, and risk analytics to equip you with the skills needed to manage cybersecurity risks effectively. Learn to prioritize threats, select appropriate safeguards, and ensure regulatory compliance. Gain practical insights through multiple real-world case studies and SANS Cyber42 simulations that enhance your understanding of cybersecurity governance and program management. Join us to master the art of risk management and compliance, and secure your organization's digital future.
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Delivery method
Face to face
Virtual
Course duration
43 hours
Competency level
Working
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Delivery method
-
Face to face
-
Virtual
Course duration
43 hours
Competency level
-
Working
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