Max Cybersecurity, LLC today announced the next phase of its intellectual property expansion strategy, including the filing of a Consolidated Continuation-in-Part (CIP) application integrating advanced technologies across AI-driven decisioning, multivariate optimization, orchestration engines, reinforcement learning, microsegmentation, and autonomous experience assembly systems.
This expanded patent family builds upon the company’s foundational U.S. Patent 9,378,505, which covers automated multivariate testing, behavioral feedback loops, and intelligent routing systems widely used across today’s digital and operational platforms.
The new CIP integrates emerging architectures for:
- LLM-based content and decision variant generation
- Autonomous sequence and workflow assembly
- Reinforcement learning feedback systems
- Cross-channel optimization, including email, SMS, API, and operational interfaces
- AI-driven microsegmentation for OT and digital systems
- Continuous drift detection and governance layers
- Supply chain and logistics optimization pathways
“As AI-powered platforms continue to drive optimization across digital, marketing, supply chain, and operational technology systems, it is essential that innovators protect the underlying methods that enable this intelligence,” said CEO Michael A. Echols.
“Our CIP portfolio expansion ensures that Max Cybersecurity remains at the forefront of securing and defining the next generation of automated, adaptive experience systems.”
The expanded filings are designed to support:
- future licensing programs,
- collaborative innovation,
- industry standardization efforts, and
- responsible commercialization of AI technologies in enterprise environments.
Organizations leveraging automated optimization, experience orchestration, or reinforcement-learning-driven decision systems are encouraged to follow future updates as the expanded portfolio moves through examination.
For more information, please contact:
mechols@maxcybersecurity.com
December 2025