Electronic Agent Access Control With Policy-Based AI Compliance
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Solution Overview
Problem
Organizations face security concerns and privacy issues due to unrestricted use of electronic agents, leading to potential misuse, unauthorized access, and exposure of sensitive information, which can result in legal disputes, financial loss, and reputational damage.
Innovation Solution
A policy-controlled access security system for electronic agents in cloud-based multi-tenant systems, utilizing a client device, mid-link server, and web server, with policies determining controlled access, token correlation, and AI device compliance monitoring to enforce secure access and update privileges based on non-compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If unrestricted access to electronic agents is allowed, then ease of operation is improved, but security and data confidentiality deteriorate
Solution Approach 1:
The patent introduces a policy-controlled access security system that acts as an intermediary between users and electronic agents. This system includes policy components that evaluate access requests against predefined policies, determine compliance status, and control whether access is granted. The intermediary layer maintains ease of operation for authorized users while enforcing security requirements to protect data confidentiality and prevent unauthorized access.
2Reliability
If policy control and compliance monitoring are implemented, then security is improved, but device complexity increases
Solution Approach 1:
The access control system is segmented into distinct functional components: policy components that store and evaluate policies, compliance monitoring components that track user behavior, and access control components that enforce decisions. This segmentation allows each component to perform its specific function independently, making the overall complex system manageable and maintainable while providing comprehensive security coverage.
Solution Approach 2:
Policies are defined and configured in advance before actual access requests occur. The system pre-establishes rules for authorized access, data handling requirements, and compliance criteria. When access requests are made, the system simply evaluates them against these pre-defined policies rather than making complex real-time security decisions, reducing operational complexity.
3Loss of information
If AI device compliance monitoring is performed, then data confidentiality is improved, but productivity decreases
Solution Approach 1:
The compliance monitoring system provides feedback to users about their access activities and compliance status. When users operate electronic agents, the system monitors their actions against policy requirements and provides real-time feedback on whether their actions are compliant. This feedback mechanism maintains data confidentiality through continuous monitoring while allowing productive electronic agent usage within policy boundaries, rather than blocking all usage.
Data Source
AI summary
A policy-controlled access security system for managing access security to electronic agents in cloud based multi-tenant systems includes a client device, a mid-link server, and a web server. A local application running on the client device requests access to an electronic agent of a remote application of the web server. Policies are determined for controlled access to the electronic agent. The set of policies is enforced on the client device and access to the electronic agent is provided. An audit is performed during the access by identifying one or more AI devices, determining compliance of the identified AI devices with the set of policies, and disabling the AI devices in response to non-compliance. A request for re-authorization to enable a disabled functionality of the electronic agent is received and analyzed for compliance with the set of policies. Upon granting the re-authorization, the set of policies is modified.