Security Risk Scoring from License and Configuration Status

The patent extracts the deception technology from on-premises appliances and relocates it to a cloud-based platform. The system removes the need for customer on-premises infrastructure by implementing deception technology as a cloud service that can be accessed remotely, thereby eliminating scalability limitations and reducing infrastructure complexity while maintaining threat detection capability.

The patent introduces a cloud-based intermediary platform that mediates between the deception technology and the customer network. This intermediary enables threat detection without requiring direct on-premises deployment, allowing the system to scale dynamically and reducing the burden of maintaining physical infrastructure while providing continuous security monitoring.

The patent extracts the infrastructure complexity from the customer environment by implementing deception technology as a cloud-based service. All infrastructure management, appliance deployment, and system maintenance are handled by the cloud provider, eliminating the need for customers to maintain on-premises hardware while preserving full threat detection functionality.

The patent implements self-service capabilities where the cloud-based system automatically handles infrastructure provisioning, configuration, and management. The system self-deploys deception technology components, self-configures security policies, and self-maintains without requiring manual on-premises intervention, thereby reducing infrastructure complexity and deployment time.

The patent applies local quality by deploying deception technology specifically at critical network locations where threats are most likely to manifest. Instead of uniformly monitoring all network traffic, the system places targeted deception elements (honeypots, decoys) at strategic points to detect specific threat behaviors, thereby maintaining high detection coverage for relevant threats while filtering out irrelevant noise.

The patent converts the potentially harmful effect of deploying deception technology into a beneficial detection mechanism. By placing decoys and honeypots in the network, the system creates artificial targets that attract attacker attention, allowing detection of malicious activity through the very interactions that would otherwise be noise. This transforms what could be considered false alerts into valuable threat intelligence.