From the course: AI Product Security: Foundations and Proactive Security for AI
Join today to access over 25,300 courses taught by industry experts.
Governance in AI product security
From the course: AI Product Security: Foundations and Proactive Security for AI
Governance in AI product security
- [Instructor] Now, that we have explored the security risks, vulnerabilities and controls essential for protecting AI systems and their data, let's focus on AI security governance. Governance ensures that AI remains both a strategic and secure asset, enabling organizations to manage risks, ensure compliance, and build trust, while aligning AI initiatives with business objectives. Think of governance as a conductor of a global orchestra. Without it, even the most advanced systems can fall into disarray, leading to risks such as data breaches, regulatory penalties, or unethical practices. Governance harmonizes the AI ecosystem, security, compliance, and ethics to support your strategic vision. AI security governance is more than checking compliance boxes. It proactively manages risks, fosters stress, and enables innovation while safeguarding systems. A key challenge is shadow AI, where employees use unapproved AI tools without oversight. This often arises from unclear policies or lack…
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.