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Building the AI Security Roadmap
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Original price was: $89.00.Current price is: $49.00.

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Building the AI Security Roadmap

This executive-level course, Building the AI Security Roadmap, provides business leaders, cybersecurity professionals, and AI practitioners with the strategic knowledge and actionable frameworks needed to secure AI…

Original price was: $89.00.Current price is: $49.00.
  • May 20, 2025
  • english,arabic

About Certification

This executive-level courseBuilding the AI Security Roadmap, provides business leaders, cybersecurity professionals, and AI practitioners with the strategic knowledge and actionable frameworks needed to secure AI systems effectively. You’ll learn how to:

  •  Understand AI-Specific Threats – Explore real-world cases of AI security failures, from deepfake fraud to biased decision-making.
  •  Assess & Prioritize AI Risks – Apply threat modeling, vulnerability analysis, and risk scoring frameworks tailored for AI.
  •  Develop a Proactive AI Security Roadmap – Implement phased strategies (short-term fixes to long-term governance) to protect AI investments.
  •  Align Security with Ethics & Compliance – Mitigate bias, ensure transparency, and adhere to global standards (NIST AI RMF, EU AI Act).
  •  Monitor & Adapt Defenses – Detect model drift, adversarial attacks, and misuse with continuous oversight.
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Benefits of the course

  • Why AI security is critical for businesses and how AI introduces new risks compared to traditional software.
  • The AI security risk landscape, including model theft, adversarial attacks, data poisoning, and misuse (both intentional and unintentional).
  • rrr
  • AI security risk management frameworks (such as NIST AI RMF and ISO/IEC 23894) and how they differ from traditional IT security.
  • How to conduct AI risk assessments, including threat modeling, vulnerability analysis, and risk prioritization.
  • Real-world case studies from healthcare, finance, and customer service, illustrating AI security failures and best-practice responses.
  • Risk prioritization frameworks to focus on high-impact AI security concerns first.
  • Short-term actions vs. long-term strategies for securing AI systems.
  • How to develop an AI security roadmap, including phased implementation (0–6 months, 6–18 months, 18+ months).
  • Best practices in AI security, such as Secure AI Development Lifecycle (SAI-DLC), model explainability, and continuous monitoring.
  • Ethical considerations in AI security, including bias mitigation, transparency, and compliance with global ethical frameworks.

Content

  • SVCH Intro
    00:00
  • Tiffany Saade Welcome
    02:43

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Original price was: $89.00.Current price is: $49.00.
  • Lectures18
  • Skill LevelAll Levels
  • Course Duration: 2h

Requirements

  • Basic understanding of AI/ML concepts (no deep technical expertise required, but familiarity helps).
  • Background in business, cybersecurity, or risk management (to contextualize AI security within enterprise risk frameworks).
  • Access to AI systems in your organization (for practical application of risk assessments and roadmap development).

Target Audience

  • Executives & Board Members – To understand AI security risks at a strategic level and how they impact business resilience.
  • Cybersecurity & Risk Management Professionals – To adapt traditional security frameworks to AI-specific threats.
  • AI/ML Developers & Data Scientists – To integrate security best practices into model development and deployment.
  • Legal & Compliance Teams – To navigate AI-related regulatory risks (GDPR, AI Act, etc.).
  • IT & Security Operations Teams – To implement monitoring, access controls, and incident response for AI systems.
  • Business Leaders & Product Managers – To ensure AI deployments align with security, ethics, and governance policies.
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Building the AI Security Roadmap
Original price was: $89.00.Current price is: $49.00.
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