group: privacy-security-guardrails title: “AI Security & Data Privacy”
AI Security & Data Privacy
The discipline of protecting Artificial Intelligence systems, models, and agentic-ai from adversarial manipulation, unauthorized access, and unintended autonomous actions, while safeguarding data privacy in secondary uses.
Emerging Threat Landscape
- Evolution of the Attack Surface: The transition from conversational Chatbots (such as Siri) to agentic-ai has shifted the security focus from simple text manipulation to the prevention of unauthorized system-level actions.
- Local Execution Vulnerabilities:
- Agents capable of interacting with a user’s local environment pose significant risks to machine integrity and data privacy.
Ethical Governance & Professional Practice
- Healthcare Context: Practical application of privacy concepts in allied health practice requires robust digital governance to protect patient data and health information.
- Regulatory Frameworks: Adherence to privacy law is critical for professional applications dealing with digital records.
- Source Reference: Further details on governance scenarios and formative assessments are documented in Module 2 Ethics Governance V4 AI Cleaned.