AI Command Risk Analyzer for Least Privilege Enforcement
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Solution Overview
Problem
The management of least privilege rights is a human-intensive process that is prone to errors, as even experienced administrators can miss or incorrectly identify high-risk commands, especially when dealing with a high volume of commands.
Innovation Solution
An autonomous privilege system that uses a Session Control Service and a GPT/LLM to inspect commands before execution, identifying high-risk commands and presenting them to a supervisor for approval or denial, thereby simplifying least privileged command execution through AI-driven risk scoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human administrators manually review commands to enforce least privilege rights, then security control is improved, but the process becomes human-intensive and error-prone
Solution Approach 1:
The patent introduces an AI assistant as an intermediary between administrators and commands. The AI analyzes commands, provides risk assessments, and suggests decisions, allowing administrators to maintain security oversight while processing commands more efficiently. This mediator handles the analytical workload, freeing administrators to focus on final approval decisions.
Solution Approach 2:
The system enables self-service by allowing the AI to automatically analyze commands, assess risks, and even make routine decisions without human intervention. For low-risk commands, the AI can autonomously approve execution, while flagging only high-risk commands for administrator review. This reduces the burden on administrators while maintaining security.
2Reliability
If administrators pre-define least privilege rights for users, then security is improved, but adaptability to new tasks is reduced
Solution Approach 1:
The patent implements dynamic privilege management where the AI continuously assesses command risks in real-time rather than relying on static pre-defined rights. The system adapts its security decisions based on the specific command, context, and risk assessment, allowing flexible granting of temporary elevated privileges when needed while maintaining overall security posture.
Solution Approach 2:
The system changes the parameter of privilege management from fixed pre-defined rights to dynamic risk-based assessments. The AI evaluates multiple parameters including command type, user context, target system, and potential impact to determine appropriate privilege levels on a per-command basis, enabling both security and adaptability.
3Ease of operation
If administrators approve all commands without restrictions, then ease of operation is improved, but security risks increase
Solution Approach 1:
The patent applies preliminary action by having the AI analyze and assess commands before they are executed. The system performs risk evaluation, identifies potential harmful commands, and prepares approval or rejection decisions in advance. This allows commands to be executed quickly when safe, while preventing harmful actions before they can cause damage.
Solution Approach 2:
The system implements preliminary anti-action by proactively identifying and blocking potentially harmful commands before execution. The AI looks for patterns of risky behavior, analyzes command intent, and prevents malicious or erroneous commands from running, while allowing benign commands to proceed without interference.
Data Source
AI summary
A method and system to enable autonomous processing of a command line string prevent risky operations. After receiving a command, a session control service and holds the command in a queue while the command is parsed and risk analyzed. The parsed command and its parameters are sent to an AI-driven command risk analyzer trained on the types of commands that represent risks and generate a risk score. The risk score is used to inform the session control service to allow the command to be presented to the asset for execution if the risk has a low score and if the risk has a high score, either a) block the command execution or b) send the command and risk analysis to an admin user or approval team for review and either approval or rejection of the command.