Cognitive Automation for ATM Security Network
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Solution Overview
Problem
ATMs operate as isolated units, making undetected tampering possible, leading to security threats and processing inefficiencies for financial institutions, as they lack real-time communication and monitoring capabilities to identify malicious activities.
Innovation Solution
Implementing cognitive automation technology in computing platforms that monitor and analyze interaction patterns at ATMs, sharing malicious data to facilitate identification and execution of responsive security actions, such as image comparison and security measures, across connected ATMs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ATMs operate as isolated standalone units, then device complexity is reduced and ease of manufacture is improved, but security reliability deteriorates due to undetected tampering and lack of communication between ATMs
Solution Approach 1:
The patent merges multiple isolated ATMs into a connected networked system where ATMs communicate with each other and a central server. This allows security information, including images of malicious actors and tampering data, to be shared across the network, improving overall security reliability while distributing the complexity across multiple units rather than concentrating it in a single complex system
Solution Approach 2:
The patent introduces a central server as an intermediary that coordinates communication between ATMs, processes security data, and manages the sharing of malicious interaction patterns and images. This intermediary handles the complex tasks of data aggregation, analysis, and distribution, allowing individual ATMs to remain relatively simple while achieving high security reliability through the coordinated network
2Productivity
If ATMs operate as isolated units, then processing efficiency is maintained for individual transactions, but overall productivity deteriorates due to repeated tampering incidents across multiple ATMs
Solution Approach 1:
The patent implements preliminary action by having ATMs proactively share security information and images of malicious actors with the network before similar incidents occur at other locations. The central server pre-processes and distributes this information, enabling other ATMs to have advance warning and prepared responses, thereby reducing the time needed for security classification and response when similar incidents occur
Solution Approach 2:
The patent establishes a feedback loop where security incidents at one ATM generate information that is fed back to the central server and distributed to other ATMs. This feedback mechanism allows the system to learn from each incident and improve its response time and accuracy for subsequent incidents, increasing overall productivity by preventing repeated tampering across the network
Data Source
AI summary
Aspects of the disclosure relate to using cognitive automation for enhanced ATM security. A computing platform may receive, from a first automated teller machine (ATM), first ATM information indicating a first interaction between a user and the first ATM. The computing platform may receive, from a first camera, a first image, which may show the user performing the first interaction with the first ATM. Based on the first ATM information and the first image, the computing platform may determine that the first ATM is experiencing malicious activity. The computing platform may send, to a second ATM, one or more commands directing the second ATM to perform a first security action, which may cause the second ATM to perform the first security action.