Where Manufacturing & Utilities Are Exposed
The convergence of OT and IT creates unique attack surfaces that traditional security approaches fail to address.
OT/IT Convergence Gaps
Industrial control systems, SCADA, and IT networks merging create new attack vectors across manufacturing and utility operations.
IP & Trade Secret Exposure
Product designs, process formulations, and grid operations data need robust protection across collaboration tools.
Unmanaged Industrial Devices
IoT sensors, HMIs, PLCs, and smart meters operate outside traditional security perimeters with minimal visibility.
Multi-Site Security Inconsistency
Distributed plants, substations, and field operations have inconsistent security postures and access controls.
What's at Stake
When security gaps go unaddressed, the consequences are financial, operational, and regulatory.
Production & Revenue Loss
Ransomware attacks on manufacturing cost an average of $1.27M in downtime. Utility outages create cascading economic impact.
Safety & Environmental Risk
Compromised OT systems can cause physical safety incidents, environmental releases, and public safety emergencies.
Regulatory Exposure
NERC CIP, IEC 62443, and industry-specific regulations require demonstrated cybersecurity maturity with audit trails.
How Insyto Helps
Services mapped directly to the challenges that matter most in your industry.
OT/IT Identity Convergence
Unified identity management spanning corporate IT, plant floor systems, and field operations with privileged access controls.
IP & Operational Data Protection
Implement classification, encryption, and DLP controls to protect intellectual property and operational data across M365.
Industrial Endpoint Management
Deploy unified endpoint management across corporate, warehouse, plant floor, and field devices with Intune.
AI for Predictive Operations
Establish governance frameworks for AI-driven predictive maintenance, quality control, and grid optimization.
Where Data & AI Move the Needle in Manufacturing & Utilities
Governed programs that turn distributed operational, IT and workplace data into secure, AI-ready decisions.
Real Outcomes
Case Study 1
A global manufacturer with 50+ production sites across 8 countries.
Inconsistent security across sites, IP exposure in collaboration tools, and $2M annual licensing waste.
Case Study 2
A regional utility company managing power distribution across 200+ substations.
NERC CIP compliance gaps, unmanaged field devices, and limited visibility into OT network security.
AI, Modern Workplace & Governance
Real use cases with governance and security built in from day one.
AI-Powered Predictive Maintenance
Use Copilot and AI models to predict equipment failures and optimize maintenance schedules.
Data classification ensures operational data stays within approved boundaries. Access policies prevent unauthorized model training.
Secure Plant Floor Collaboration
Enable Teams-based communication between engineering, operations, and maintenance teams.
Conditional access enforces device compliance for plant floor access. Information barriers protect proprietary process data.
Digital Twin & IoT Governance
Govern data flows from IoT sensors and digital twin platforms into enterprise analytics.
Sensitivity labels classify sensor data by criticality. DLP policies prevent operational data from reaching unauthorized external parties.
How We Work
Assess
Industry-specific discovery and risk evaluation across identity, data, and compliance.
Secure
Remediate critical exposures and harden your Microsoft environment.
Deploy
Roll out governance, AI controls, and modern workplace capabilities.
Optimize
Continuous improvement, adoption support, and ongoing advisory.