
IT/OT Convergence Is Dissolving Your Security Perimeter. Here’s How to Protect What You Actually Run.
The DOE allocated $160 million to energy sector cybersecurity in 2026 — not because the problem is getting easier, but
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Accelerate production, eliminate downtime, and defend your OT infrastructure with defense-grade AI solutions engineered for manufacturing environments from EV gigafactories to precision pharma plants.
































IT Consulting · Data · AI/GenAI/ML · Process · Cloud · Cybersecurity
CMMI Level 3 certification means PiTech’s processes are defined, documented, proactively managed, and consistently applied across every project — the same standard required for sensitive government and defense work
PiTech brings defense-contractor discipline to manufacturing AI bridging the gap between AI pilots and production-ready smart factory deployment.
AI built for real-world factory floors. Practical, compliant, designed to deliver ROI within months not years. We close the 78-point gap between AI exploration and AI readiness.
Military security protocols from DHS and DoD engagements, adapted to defend converged IT/OT factory networks against nation-state ransomware and AI-powered cyberattacks.
From day-one AI architecture for new EV gigafactories to modernizing legacy plants PiTech's methodology scales to your facility's exact maturity and technology environment.
Every engagement starts with an enterprise architecture blueprint defining security layers, integration points, and a phased roadmap before a single system is touched.
Defense-contractor delivery discipline applied to every smart factory engagement from OT security to agentic production systems.
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Introduction Every decision in business carries risk but the difference between surviving and thriving lies in how

The DOE allocated $160 million to energy sector cybersecurity in 2026 — not because the problem is getting easier, but

FedRAMP’s traditional authorization process had a well-earned reputation as a market access barrier. Timelines regularly exceeding twelve to eighteen months.

The numbers are consistent across every major 2026 industry survey: somewhere between 78 and 88 percent of enterprise AI pilots
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