The privacy–security convergence: Building unified AI risk controls
Contributors:
Cassandra Maldini
AIGP, FIP
Head of Privacy, Governance & AI Trust Strategy
Veeam
Brought to you by Securiti AI
Broadcast date: 23 July 2026
Time: 08:00–09:00 PDT, 11:00–12:00 EDT, 17:00–18:00 CEST
For decades, privacy and security operated as separate neighbors. AI 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, Cassandra Maldini (VP of Privacy and AI Governance at Securiti) 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.
Key takeaways:
- Where the Line Disappears: When privacy and security incidents become the same incident.
- Owning AI Risk: Who’s accountable when harm spans data, model behavior, and users?
- Shared Reality: Ending the "different versions of the truth" problem between teams.
- Joined-Up Evidence: What regulators will expect — and what unified frameworks look like.
- Ending Audit Fatigue: Eliminating duplicative assessments and conflicting controls.
Attendees will leave with a blueprint for a unified privacy-and-security operating model that satisfies both sides of the house.
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Eligible CPEs: AIGP, CIPP/A, CIPP/C, CIPP/E, CIPP/US, CIPM and CIPT.
1.0 CPE credits
Contributors:
Cassandra Maldini
AIGP, FIP
Head of Privacy, Governance & AI Trust Strategy
Veeam
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