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The privacy–security convergence: Building unified AI risk controls

Published

Contributors:

Tanneasha Gordon

CIPP/US

Principal, Risk and Financial Advisory

Deloitte

Cassandra Maldini

FIP

Head of Privacy and AI Governance

Securiti AI

Brought to you by Securiti AI

For decades, privacy and security operated as separate neighbors. Artificial intelligence has ended that. When a single incident can involve data exposure, model misuse and insider access all at once, asking "is this privacy or security?" is no longer just unhelpful — it's a liability regulators won't accept.

In this session, Securiti Vice President of Privacy and AI Governance Cassandra Maldini, AIGP, FIP, makes the case that the privacy-security convergence is now a structural requirement and breaks down what shared control frameworks and unified evidence actually look like in practice.

The privacy–security convergence: Building unified AI risk controls

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Contributors:

Tanneasha Gordon

CIPP/US

Principal, Risk and Financial Advisory

Deloitte

Cassandra Maldini

FIP

Head of Privacy and AI Governance

Securiti AI

Tags:

AI governance

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