The Automation That Destroys
Last week, I was building a batch automation script for a client—routine stuff, file cleanup, data migration triggers. Then I read about Lotus Wiper, and something clicked. Not in a good way. Two batch scripts. That's what initiated the destruction of critical infrastructure in Venezuela's energy sector. Two scripts. The same fundamental tool I use to optimize business processes, repurposed as a weapon.
As someone who spends most of my time designing workflows to make systems faster, more efficient, more autonomous, I have to sit with this uncomfortable truth: automation doesn't care about intent. A perfectly crafted batch script that deletes files at scale is indistinguishable from malicious code once it's deployed. Speed. Scale. Efficiency. These are features and bugs simultaneously.
What We Know (And What We Don't)
- Kaspersky identified this wiper in late 2025 and early 2026—targeting energy utilities specifically, which means someone did their homework on critical infrastructure
- Batch scripts handled the execution. Not sophisticated. Not novel in the technical sense. Effective in a way that keeps me awake.
- The campaign was destructive by design—data wipers aren't espionage tools, they're meant to break things
- Venezuela's energy sector had defenses. Apparently not the right ones. I'm genuinely unsure whether better tools would've helped or if this was execution so direct that detection became secondary
The Developer's Dilemma
Here's where I'm conflicted. When I architect integrations between systems—connecting payment platforms to inventory management, automating data synchronization across cloud services—I'm fundamentally creating attack surface. Every automation I build is a potential vector. Every scheduled task, every API call triggered by a rule, every file operation that runs without human intervention is a pathway that could be weaponized.
The standard response is segmentation, access controls, audit logging. Monitoring. Detection. But Lotus Wiper used batch scripts—tools so basic, so embedded in Windows infrastructure, that distinguishing malicious automation from legitimate automation becomes a problem of context, not signatures. And context is expensive to maintain at scale. I'm not sure better architecture solves this. Maybe it just makes the problem slightly slower.
What strikes me most is the targeting. Energy systems. Not random. Not opportunistic. The attackers knew what they were hitting and why batch scripts would work. This required either insider knowledge or reconnaissance so thorough it amounted to the same thing.
What This Means for Builders
If you're building products with automation at the core—and in 2026, what product isn't—you need to stop thinking about your workflows as purely beneficial systems. They're dual-use. A workflow that automates your customer onboarding is also a potential vector for account creation at scale. A script that syncs data across your infrastructure could become a vector for data exfiltration if compromised.
- Immutability matters more than I once thought
- Logging every automated action isn't just compliance theater—it's forensic evidence. But logs can be deleted, which brings us back to the beginning
- Human verification at scale is expensive and breaks the automation promise entirely
The Unresolved Part
I don't have a clean answer here. Not for myself, not for clients who ask me to make their systems more automated. The Lotus Wiper campaign succeeded because someone exploited the very efficiency principles that drive modern infrastructure. Attack surface is the cost of optimization, and I'm not confident we've even properly named the problem, let alone solved it.
Build better. Monitor harder. Segment aggressively. These are necessary. But I genuinely don't know if they're sufficient. Venezuela's energy sector likely had some of these controls in place, and they still took the hit.
