The signal here is that as AI moves deeper into manufacturing operations, the cybersecurity perimeter has to extend backward into data pipelines, not just around the model or the network.
@fogoros
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Determine Your AI’s Adaptive Governance Style
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Which of the four adaptive governance styles does your current AI program actually operate in?
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Agentic AI maturity moves from centralized to federated control
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Organizations do not pick one style permanently. They move through them as agentic AI maturity increases, starting with centralized control for initial deployments and gradually federating as processes stabilize.
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AI output without source requires manual review
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If AI output does not show where the answer came from, reviewers have to check the work manually, slowing the process.
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Human review needs sufficient information for AI judgments
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Human review only works when the person has enough information to make a good judgment about AI recommendations.
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Bayer integrates HighByte AI with PI system for automated GXP reports
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Bayer connected HighByte AI to a PI system running for 15 years in their GXP-certified pharma environment. Production reports that required entering clean rooms now come through AI agents on demand. Partner content with @HighbyteInc. #highbyte_iiot #bayer_ai pic.twitter.com/AGVY2dPWFc
— Lucian Fogoros (@fogoros) 23 juin 2026Bayer connected HighByte AI to a PI system running for 15 years in their GXP-certified pharma environment. Production reports that required entering clean rooms now come through AI agents on demand. Partner content with @HighbyteInc
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Pre-detonation file analysis for OT-connected AI pipelines
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Analyzing files before detonation means evaluating risk without executing the file in a live environment. That matters when the file is destined for an AI training pipeline connected to OT systems.
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AI-assisted file analysis improves speed but requires policies and validation
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The key distinction from the session: AI-assisted file analysis improves speed and coverage but does not replace the need for defined policies, clear data ownership, and repeatable validation processes.
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Eliminating false positives key for AI predictive maintenance
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What makes an AI predictive maintenance solution actually stick in manufacturing? It comes down to eliminating false positives. Partner content with TDK SensEI. #TDK_iioT pic.twitter.com/aXgA2ksV2s
— Lucian Fogoros (@fogoros) 22 juin 2026What makes an AI predictive maintenance solution actually stick in manufacturing? It comes down to eliminating false positives. Partner content with TDK SensEI. #TDK_iioT
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Traditional manufacturing software vs AI-generated: bespoke in a week
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Traditional manufacturing software: buy standard package, customize for months, vendor teams build features. AI-generated software: bespoke from day one, one week to production, any operator builds through prompts. Partner content with Cybus. #cybus_iiot pic.twitter.com/zkVkJWYcAZ
— Lucian Fogoros (@fogoros) 20 juin 2026Traditional manufacturing software: buy standard package, customize for months, vendor teams build features. AI-generated software: bespoke from day one, one week to production, any operator builds through prompts. Partner content with Cybus. #cybus_iiot