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AI Risk Management Workshop

Length: 2 Days
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AI Risk Management Workshop

Neural Supply Chain Risk & AI Dependency Mapping (NSCR-AI) Certification Program by Tonex

Navigate the intricate landscape of AI risk management with Tonex’s specialized workshop. This intensive program equips professionals to identify, assess, and mitigate the unique risks associated with artificial intelligence deployments. Gain insights into ethical considerations and regulatory compliance, ensuring responsible AI implementation. Strengthen defenses against AI-driven cyber threats, and understand how to secure AI systems themselves from compromise.

Audience:

  • Cybersecurity Professionals
  • AI Developers and Engineers
  • Risk Management Officers
  • Compliance Managers
  • Data Scientists
  • IT Security Analysts

Learning Objectives:

  • Understand the fundamentals of AI risk management.
  • Identify and assess potential AI-related risks.
  • Develop strategies for mitigating AI risks.
  • Learn about ethical considerations and regulatory compliance.
  • Apply risk management frameworks to AI projects.
  • Enhance cybersecurity posture against AI threats.

Course Modules:

Module 1: Foundations of AI Risk

  • Introduction to AI Risk Management.
  • Defining AI Risk and its Components.
  • Categorization of AI Risks.
  • Understanding the AI Lifecycle and Risk Points.
  • Impact of AI on Existing Risk Frameworks.
  • Overview of Emerging AI Regulations.

Module 2: Risk Identification and Assessment

  • Methods for Identifying AI Risks.
  • Quantitative and Qualitative Risk Assessment.
  • Analyzing Bias and Fairness in AI.
  • Data Security and Privacy Risks.
  • Model Vulnerability Assessment.
  • Tools for Risk Assessment.

Module 3: Mitigation Strategies

  • Developing Risk Mitigation Plans.
  • Implementation of Control Measures.
  • Continuous Monitoring and Evaluation.
  • Incident Response Planning for AI.
  • Best Practices for AI Security.
  • Automation in Risk Mitigation.

Module 4: Ethical and Regulatory Considerations

  • Ethical Principles in AI Development.
  • Understanding Regulatory Requirements.
  • Compliance with Data Protection Laws.
  • Addressing Algorithmic Transparency.
  • Accountability and Governance in AI.
  • Legal Implications of AI Deployment.

Module 5: Applying Risk Frameworks

  • Integrating AI Risk into Existing Frameworks.
  • Developing Custom Risk Management Frameworks.
  • Case Studies of AI Risk Management.
  • Applying ISO Standards to AI.
  • NIST Frameworks for AI Risk Management.
  • Practical Application Exercises.

Module 6: Cybersecurity and AI

  • AI-Driven Cyber Threats.
  • Securing AI Systems from Attacks.
  • Using AI for Cybersecurity Defense.
  • Vulnerability of AI models to adversarial attack.
  • Threat modeling for AI implementations.
  • Future of AI in Cybersecurity.

Enroll today to fortify your organization against the evolving risks of artificial intelligence. Gain the expertise to navigate the complexities of AI security.

 

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