Veeam pushes cyber resilience as AI raises data risks
SiliconANGLE Ryan Stevens ● Covered by 3 sources
Veeam says AI is making data riskier, so security teams are focusing on recovery, not just blocking attacks. The new bet is simple: assume something gets through, then prove you can bounce back fast.
Based on reporting by SiliconANGLE, Ryan Stevens — read the original for the full story.
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AI is changing the way security teams talk about resilience, and not in a fluffy, keynote-slide way. At Black Hat USA, Veeam’s Dave Russell argued that once enterprises start deploying AI agents, they also expand the attack surface and raise the stakes around what happens when prevention fails.
His point was blunt: nobody can expect to stop every bad thing. Systems are too complex, attackers are too persistent, and sometimes the problem is just an accident. So the real question becomes what happens after the breach, the outage or the mistake. That is where resilience has moved from a nice concept to an operating requirement.
Russell said testing is the part companies still cheat on. Tabletop exercises can help teams talk through failures, but they do not prove recovery will actually work. Veeam is pushing recovery verification tools, and Russell says the company is tying those together with security technologies so organizations can get more confidence in their recovery and resiliency claims.
He also tied resilience to data hygiene, which is where AI makes the mess more visible. If the data is redundant, obsolete or just wrong, AI agents can head off in the wrong direction. Russell’s view is that cleaning up data before it reaches production stops being optional once AI enters the stack, because bad data is now both a quality problem and an attack vector.
The bigger shift, though, is philosophical. Russell described resilience as a business continuity conversation, not a reason to keep buying one-off tools. Weather events, cyber incidents and AI-related failures all end up asking the same question: can the organization recover, and does it actually know that for sure?
My take — AI-written commentary, not fact-checked reporting
This is the part of AI adoption people keep trying to decorate with optimism: the model is not the only thing that can fail, the data can be garbage too. Security vendors love a new category, but Veeam is pointing at the older, less glamorous truth that recovery beats hope every time. The industry has spent years buying more tools; now it gets to learn whether any of them can actually bring the lights back on.
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