The purpose of this chapter is to establish a strategic understanding of AI security, identify the unique security risks associated with AI, examine how AI can be a security change agent, and consider the need to treat all players equally.

Security risks specific to AI

AI risk awareness

Dinner at Riskland Junction

AI as a change agent for security

Enhancing security operations with AI

Risks of AI in security

Security Catalyst Station

The AI security ecosystem

The importance of multiple viewpoints

Balancing stakeholder interests

Ecosystem Nexus

AI's Security Landscape

This chapter focuses on the operational side of AI security and risk management, diving deeper into different types of risks, secure development practices, and risk assessment. We will first examine risks broken down by internal and external risk categories and then learn about practices aimed at mitigating them.


Model risks

Common risks of AI models

Continuous monitoring

Options

Model development

Model deployment

Model Risk Abyss

External risks in AI

Types of external risks

Keeping up with external AI risks

Data-driven threats

Other sources of risk

Perimeter Peril Point

Secure development practices

Secure AI development

Secure access

Data privacy and security

Data integrity and authenticity

Fortified Code Forge

AI risk assessment frameworks

The EU AI Act

Risk assessment steps

Bias audits

Privacy-enhancing technologies

Explainability methods

Assessment Framework Enclave

 Risk Management Fundamentals

Bringing AI security into alignment with organizations' strategic goals is the focus of this chapter. It covers the importance of connecting security efforts to tangible business value, ensuring security isn't an afterthought but a strategic asset. In addition, it talks about the importance of fostering a security-aware culture within an organization and the importance of keeping up to date with evolving risks and opportunities in the constantly changing world of AI.

From insights to action

Risk appetite

Balancing innovation and security

General Landora Implementor

Aligning with organizational goals

Connecting security with business goals

Health care versus social media

Alignment Avenue

A security-aware culture

Responsible for identifying risks

Role of data science team in security

Culture Citadel

AI security for the future

Staying up-to-date

It takes a village

Throne of Stagnation

Wrap-up: AI Security and Risk Management

Strategic Integration of AI Security

Discover the essentials of safeguarding AI systems in this introductory course on AI security and risk management. Learn to align security efforts with business goals, mitigate risks, and tackle key security challenges. You will explore specific AI security issues, assess risks from multiple perspectives, and understand threats related to AI model development and usage. Designed for professionals seeking to protect their organizations, this course offers practical, actionable practices to become an AI security champion. By the end, you'll be equipped to stay ahead in the fast-evolving world of AI security.

AI's potential is undeniable, but ensuring its security requires knowledge and action! Prepare to learn valuable skills with this introductory course that will empower you to identify and address key AI security challenges.<br><br><h2>Become an AI Security Champion</h2>
This introductory course is perfect for those looking to understand AI security better and make more informed strategic decisions to protect their organization. Learn how to ensure AI security efforts match your organization's goals, and see how to connect AI security with business strategies using real-world examples. 

<br><br><h2>Build Awareness and Competence</h2>Explore AI's specific security challenges and learn the importance of examining these risks from various perspectives. We will guide you through the practical aspects of AI security, focusing on key risks associated with AI. This includes risks related to developing and using AI models and the external threats organizations face. Discover actionable practices that help reduce these risks and how to assess AI risks through detailed evaluations and daily checks.<br><br>By the end of this course, you'll know how to stay ahead in the fast-changing world of AI, keeping yourself and your organization safe. 

Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.


AI Security and Risk Management

Artificial Intelligence (AI) Leadership

Responsible AI Foundations

Founder and Digital Transformation Expert

Counteract the unique vulnerabilities of AI

Data provenance and traceability

Validation and sanitation

Data minimization

Encryption and anonymization

Secure coding practices

Access controls

Secure infrastructure

Security isn't for the tech team alone

Let's practice!

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 Risk Management Fundamentals - Secure development practices

Secure development practices

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