Guided by global standards, focused on safety-critical infrastructure.
Mastering AI in OT: Governance, Resilience, and Real-World Control.
Understanding the AiM Frame for OT
FREE AI Readiness Assessment for OT Security
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Understand the AI Threat in OT Environments
Understanding the AiM Frame for OT
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The Silent War for Control of Smart Systems
The Future of OT Security AI-Driven Insights
Most organizations will find it challenging to meet the security requirements in OT environments. The new era will usher in more AI being used by critical infrastructure owners and operators to defeat adversaries. This dynamic will increase risk and lower resilience.
The free AI Readiness Assessment helps organizations understand their AI adoption level, identify security gaps, and receive tailored recommendations to enhance OT security. By evaluating key security factors, this free assessment provides a roadmap for integrating AI-driven cybersecurity solutions.
Understanding the AiM FRAME Eco-System
The AiM FRAME™ ecosystem provides a comprehensive approach to managing AI integration in operational technology environments. To simplify its application, the ecosystem can be grouped into three key areas: Assessment & Evaluation, Governance & Resilience Frameworks, and Actionable Tools & Operationalization. These areas work together to ensure transit rail systems and other OT environments can responsibly adopt, govern, and sustain AI-driven solutions while maintaining safety, reliability, and security.
Assessment & Evaluation
This area focuses on measuring readiness, identifying gaps, and establishing a baseline for AI integration in operational technology:
Max Ai™ Readiness Tool – Helps determine how prepared OT environments are to adopt and govern AI responsibly.
OT AI Maturity Assessment – Measures the organization’s current maturity across the AiM FRAME™ levels (On-Ramp, Reactive, Informed, Integrated, Predictive, Autonomous).
Domain-Based Evaluation – Uses domain-specific criteria (e.g., Governance, Assurance, Workforce) to pinpoint where efforts should focus.
Governance & Resilience Frameworks
This area addresses how to embed AI oversight and resilience into daily OT practices and long-term planning:
AiM FRAME™ Model – Provides a structured, level-based framework to guide continuous AI maturity improvements.
Governance Structures – Establishes roles, policies, and leadership accountability for managing AI risks.
Policy & Standards Integration – Aligns OT AI practices with leading frameworks like NIST AI RMF, IEC 62443, and TSA SD 1582.
Continuous Improvement – Fosters a culture of learning, testing, and adapting to new AI challenges in OT.
Actionable Tools & Operationalization
This area focuses on putting insights into action and turning maturity assessments into real-world results:
PodNet™ Isolation Technology – AI-driven segmentation and micro-zoning tool for limiting lateral movement in OT environments.
Action Roadmaps & Playbooks – Step-by-step guidance to move from one AiM FRAME™ level to the next.
Training & Workforce Development – Programs to upskill staff on AI operations, governance, and cybersecurity resilience.
Automated & Physics-Based AI Monitoring – Solutions to detect AI-driven anomalies that go beyond traditional IP-based signatures.
The Readiness Assessment aligns with the OT AiM FRAME. The OT AiM FRAME is the first OT AI Maturity Framework designed to structure an organization’s approach to Ai implementation. The OT AiM Frame™ guides organizations toward effectively leveraging AI capabilities to enhance cybersecurity, governance, and operational efficiency. Learn More
Need for an AI Maturity Framework for OT
Operational technology (OT) environments, such as those in transit, energy, and manufacturing, are increasingly integrating AI to improve performance, reliability, and safety. However, these systems operate in high-consequence environments where failure can disrupt critical services or threaten safety. Unlike traditional IT, OT systems often have unique requirements long asset lifecycles, real-time control needs, and limited tolerance for downtime. The introduction of AI can magnify existing risks if not managed properly.
An AI Maturity Framework for OT, like the AiM FRAME™, provides a structured, step-by-step approach for organizations to responsibly adopt and govern AI. It helps them assess their current readiness, identify gaps, and develop clear roadmaps for improvement. The framework ensures that AI adoption is guided by governance, transparency, and operational resilience principles, reducing the risk of unintended consequences and maximizing the value of AI in critical OT environments.
- Understand where you stand in AI adoption.
- Receive insights to enhance your security.
- Take the first step toward AI-driven security.
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Discover how AI can transform your Operational Technology security. Our free assessment identifies your current AI capabilities, uncovers security gaps, and delivers personalized recommendations—giving you a clear roadmap to a safer, more intelligent future.
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the AiM FRAME Maturity Framework
Levels of Maturity
- On-Ramp/Reactive
- Informed
- Integrated
- Predictive
- Autonomous
Our Leadership
Michael A. Echols
Chief Executive Officer (CEO)
Daniel Lizana
Chief Operations Officer (COO)
Dr. Atif F. Mohammad
AI Strategy Advisor
Omid Asgari
OT Strategy Advisor