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HomeHomework HelpcybersecurityThreat Modeling for AI Systems

Threat Modeling for AI Systems

The process of identifying, analyzing, and prioritizing potential security threats to AI systems, including agentic AI, and developing strategies to mitigate or prevent these threats, such as threat taxonomy navigation and example threat models

intermediate
3 hours
Cybersecurity
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Overview

Threat modeling for AI systems is a critical process that helps organizations identify and mitigate potential security threats. By understanding the various types of threats and vulnerabilities, organizations can implement effective risk management strategies. This proactive approach not only protec...

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Key Terms

Threat
Any potential danger that could exploit a vulnerability.

Example: A hacker attempting to access sensitive data.

Vulnerability
A weakness in a system that can be exploited by threats.

Example: Outdated software that lacks security patches.

Risk
The potential for loss or damage when a threat exploits a vulnerability.

Example: The risk of data breach due to weak passwords.

Mitigation
Actions taken to reduce the severity or likelihood of a threat.

Example: Implementing two-factor authentication.

Threat Actor
An individual or group that poses a threat to a system.

Example: Cybercriminals targeting financial institutions.

Data Privacy
The proper handling of sensitive data to protect individual privacy.

Example: Encrypting personal information in databases.

Related Topics

Cybersecurity Fundamentals
An overview of basic cybersecurity principles and practices.
beginner
AI Ethics
Exploring ethical considerations in AI development and deployment.
intermediate
Incident Response Planning
Strategies for effectively responding to security incidents.
advanced

Key Concepts

Threat IdentificationVulnerability AssessmentRisk AnalysisMitigation Strategies