At the end of last year, we warned that AI-driven cyberthreats would accelerate industrial risk in 2026.
Just a few months into the year, that prediction is already proving accurate.
We’re seeing clear signals that attackers are increasingly leveraging Artificial Intelligence to:
- Automate reconnaissance at scale
- Refine social engineering with highly personalized lures
- Accelerate intrusion workflows with minimal human intervention
- Adapt faster to defensive measures
For manufacturing environments—where IT and OT continue to converge—this evolution is not theoretical. It’s operational.
What has become evident in these first months of 2026?
- AI is lowering the barrier to sophisticated attacks
- Midmarket manufacturers remain highly exposed
- OT visibility gaps are still a critical weakness
- Defensive AI adoption is progressing—but not fast enough
The reality is clear: fighting AI-powered threats without AI-enabled defenses is no longer sustainable.
In our article, we explore:
- Why AI-orchestrated attacks are becoming inevitable
- Why midmarket manufacturers are prime targets
- How OT exposure and leadership gaps amplify risk
- Why fighting AI with AI is no longer optional
At RELIANOID, our R&D initiatives in Artificial Intelligence continue to focus on intelligent automation, advanced analytics, and adaptive security models designed to strengthen performance, availability, and cybersecurity—especially in complex industrial infrastructures.
- If you missed it, now is the right moment to revisit the full article on our website.
#CyberSecurity #ArtificialIntelligence #Manufacturing #OTSecurity #IndustrialCybersecurity #AIinSecurity #RELIANOID #RAndD
