Episode 198: AI Privacy from a Risk-Based Perspective

In episode 198 of Cybersecurity Where You Are, Sean Atkinson discusses artificial intelligence (AI) and privacy from a risk-based cybersecurity perspective. Together, he explores how organizations and individuals can assess AI risk, apply governance frameworks, evaluate third-party AI services, and balance innovation with due diligence.

Here are some highlights from our episode:

00:41. Framing the conversation around AI, privacy, and risk-based controls
02:22. Due diligence and ethical considerations around AI products and services
03:14. Data minimization and transparency as foundations for AI privacy
04:46. Privacy impact assessments as a way to understand AI data collection and use
05:42. AI governance and the tension between implementation velocity and risk management
10:08. The use of existing data flows and controls in AI assessments
11:57. Algorithmic transparency and the challenge of understanding AI decision making
13:47. Standards, frameworks, and data sovereignty in AI privacy governance
15:12. Encryption, anonymization, tokenization, and federated learning as privacy safeguards
16:40. The need to shift stakeholder input left in AI development and deployment lifecycles
19:13. Building literacy around security, data management, privacy, and AI risk
23:40. The value of cross-functional and written assessment criteria for AI risk
26:21. A call to action for keeping pace with AI privacy and and innovation risk

Resources

If you have some feedback or an idea for an upcoming episode of Cybersecurity Where You Are, let us know by emailing [email protected].

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