Securiti AI

Most organizations can't answer a simple question: where does your data actually live? In the first episode of AI, Unpacked: Veeam Canada's Rick Byrne breaks down why data residency isn't the same as data sovereignty, and why that gap is where Canadian businesses get caught off guard. From the U.S. Cloud Act to Bill C-8, the rules are tightening. The leaders who win in the AI era won't be the ones with the most compute. They'll be the ones who actually trust their own data map. Three vendors. One meeting with Legal, Security, and IT. Watch what Rick lays out. Watch the complete episode: https://bit.ly/4pB2yoP #DataSovereignty #DataResidency #AIGovernance #Securiti

Every casino on the Strip can tell you the exact odds on every table, in real time. Most enterprises can't tell you the odds on their own AI agents: what data they can reach, what they've touched, what happens if one goes rogue. At Black Hat USA 2026, we're showing what it looks like to actually know your odds: full visibility into sensitive data, who and what has access, and what your AI is doing with it, before an attacker or an unsupervised agent finds out first. Booth #4911, Business Hall, Aug 4–6. Or find us at the Veeam Leaders' Lounge at Orla for the longer conversation. Book a meeting ahead of the event: https://lnkd.in/dUx3w-9G #BHUSA #BlackHat #DataSecurity #AIGovernance Veeam Software

A CISO ran AI simulations before securing World Cup host cities. What surfaced wasn't a technology gap, it was an ownership gap his team hadn't caught. That's the real risk in the AI era: not knowing who's in the room isn't the same as knowing who owns what. In his latest Fast Company piece, Veeam's Shiva Pillay breaks down 4 skills CIOs and CISOs need to lead through this speed-and-scale era, including why a joint ownership matrix between IT and security is no longer optional. Worth the read for anyone building AI governance into their org chart, not just their tech stack. Link in the comments.

Privacy and security used to be 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 a privacy problem or a security problem?” is no longer just unhelpful. It is a liability regulators will not accept. Join Cassandra Maldini, VP Privacy & AI Governance at Securiti, a Veeam Company, and Tanneasha Gordon, Deloitte US Cyber TMT Leader, for a live session on what the privacy-security convergence actually looks like in practice. What you will walk away with: → Where the line disappears: when privacy and security incidents become the same incident → Who owns AI risk when impact spans data, model behavior, and users → What unified evidence and shared control frameworks look like → What regulators will expect and how to get ahead of it → How to end audit fatigue from duplicative assessments and conflicting controls 📅 July 23 🕐 9:30 AM PDT | 12:30 PM EDT Register → https://lnkd.in/dyC8ZJew #AIGovernance #AgenticAI #DataAISecurity 

DSPM is the foundation of DataAI security. Get certified in DSPM Fundamentals, a course created by Veeam’s Securiti, the industry leader in DSPM. What you’ll learn: ✅ The core principles of DSPM ✅ Modern approaches to DataAI security ✅ How to enable secure AI adoption This certification gives you the knowledge and confidence to lead your organization’s DataAI security strategy. Get Certified Today! Check link in the comments. #DSPM #DataAISecurity #AgenticAI

Most failed agentic AI pilots aren't a technology problem. They're a sourcing problem. That's the thesis of a new Gartner report, "How CIOs Build, Buy and Partner to Scale AI Capabilities," which reframes the conversation in a useful way. The argument: CIOs are buying agentic AI faster than their organizations can govern it. The result is what Gartner calls "AI debt" and "agent anarchy". The fix isn't a better build-vs-buy decision. It's a capability-driven one. A few highlights worth your time: → The three emerging competencies CIOs need to source: AI integration, work orchestration, and insight engineering → Why most agents built before 2028 will need replatforming by 2030 → How to evaluate partners on commercial flexibility, ModelOps, and long-term governance Link in the comments. #Gartner #AITRiSM #AIGovernance #CIO

The perimeter isn't the risk anymore. The data is. AI adoption is putting sensitive enterprise data in front of more systems, more models, and more access paths than ever. Classification and governed data access aren't a compliance checkbox now. They're the price of entry for deploying safe AI at scale. On the latest AI in Business Podcast, Todd Vancil, VP of Veeam Software's Securiti AI Sales Engineering Team, joins host Daniel Faggella to unpack what safe AI deployment actually requires. Link in the comments.