The privacy–security convergence: Building unified AI risk controls


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

This content is eligible for Continuing Professional Education credits. Please self-submit according to CPE policy guidelines.
Submit for CPEsContributors:
Tanneasha Gordon
CIPP/US
Principal, Risk and Financial Advisory
Deloitte
Cassandra Maldini
FIP
Head of Privacy, Governance & AI Trust Strategy
Veeam
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