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Interview FocusWhen you are asked a question in a job interview that you cannot answer on the spot, how do you handle it without losing credibility? Can you share a specific tactic or phrase that has helped you turn that moment into a positive?

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prolion.comCybersecurity Expert: Why Backups Alone Are No Longer a Ransomware Strategy Hi! I'm writing an article for the ProLion blog on why backups alone are no longer a reliable ransomware strategy, and how attackers are now systematically targeting recovery systems before deploying their payload. I'm looking for cybersecurity experts (incident responders, CISOs, storage security specialists) who'd be willing to contribute a few quotes or insights. It would be great if you could answer 2+ of the questions below. Please also provide a link to your site and/or your LinkedIn profile if you'd like us to link out to them. 1. How often are you seeing ransomware attacks that specifically target backup and recovery systems? Is this a growing trend? 2. When a ransomware attack succeeds, how often is it because the organization's backups were also compromised? What's the typical scenario? 3. In your experience, do most organizations' backup strategies actually hold up under a real ransomware attack? Where do they tend to fall short? 4. Are attackers getting better at finding and disabling recovery infrastructure? 5. What are the most common techniques you're seeing attackers use to locate and disable backup systems — and how sophisticated do they need to be to pull it off? 6. Many organizations still treat backups as their ransomware insurance policy. What's the most dangerous assumption companies make about their backup strategy? 7. Can you walk us through a real-world scenario (anonymized if needed) where an organization had backups in place but still couldn't recover? 8. What's your take on the balance between prevention, detection, and recovery? Where do you see most companies underinvesting? 9. With AI making attacks faster and more adaptive, how do you expect backup-targeting tactics to evolve in the next 2–3 years? 10. If you could get one message across to a CISO who still thinks "we have backups, we're fine" what would it be?

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Communications of the ACMWhy Companies Keep Hoarding Data They Can’t Protect I need identity architecture experts, CISOs, privacy engineers, and breach response specialists, among other experts. Story blurb and questions: In January 2026, researchers and news media confirmed a data breach affecting 72.7 million Under Armour customer records. Records included full names, email addresses, dates of birth, genders, purchase histories, and geographic locations. The Everest ransomware group claimed responsibility for the breach and published samples on the dark web, including customer and employee data. The question isn’t how sophisticated the attack was. It’s why a retail company was storing so much personal information. Why are businesses collecting customer and employee data they can’t secure? Enterprises stockpile personal data to gain better insights, drive more revenue, and gain a competitive edge. But the strategy has become an issue because the volume creates the vulnerability. The more data companies store, the bigger the target they become. Businesses must rethink how they build identity systems, verify users, and measure success. Instead of collecting everything and protecting it later, some companies are collecting only what they need, using verification methods that don’t require long-term storage, and designing systems that make data exposure hard. What technology lets businesses verify identity and deliver services without storing so much personal data? How do short-term verification and distributed authentication work in practice? Who’s doing this at enterprise scale? What security improvements and cost-benefit numbers are they seeing? When should companies delete data they’ve collected, and how do they balance minimization against eDiscovery requirements, legal holds, and business intelligence needs? Why have businesses resisted data minimization despite breach costs averaging $10.22 million in the U.S. as per the IBM 2025 Cost of a Data Breach Report? What company, technical, and money barriers prevent this? How does data minimization work with privacy rules, AI training requirements, and biometric authentication that all seem to demand more data? Where are the gaps in identity systems that make keeping unnecessary data certain, and what tools or frameworks could make storing less data the default?

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