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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, Governance & AI Trust Strategy

Veeam

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, Governance & AI Trust Strategy

Veeam

Tags:

AI governance

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