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Desktop Agents
Secure the Agents Running Closest to Your Users
The security layer between users and autonomous AI.
Overview
Secure Desktop Agents in the Enterprise
Desktop agents operate locally on employee devices, IDEs, browsers, and desktop applications. Coding agents and AI assistants like Claude Code, OpenAI Codex, Cursor, GitHub Copilot, and desktop productivity agents can read files, run commands, call tools, and automate work in real time.
Integrations
Close to the User. Close to the Risk.
Local and desktop agents are powerful because they sit close to the user’s actual work. They can access files, repositories, terminals, applications, credentials, and local context to automate everyday tasks.
AI Coding Agent on an Endpoint
AI Coding Agent
Desktop AI assistants
Coding copilots
IDE-based agents
Local clients connected to SaaS or cloud AI
Developer tools like Claude Code and OpenAI Codex can operate with broad access and increasing autonomy, creating security risk because they can run commands, connect to tools, and access sensitive company data.
Security Risks
The Security Risks of Desktop Agents
Coding agents operate closer to sensitive data than almost any other AI system in the enterprise. Local agents can introduce endpoint-level risks such as:
Local data leakage from files, documents, source code, credentials, or clipboard contents.
Unauthorized actions such as running commands, modifying files, opening tickets, or calling APIs.
Source code exposure when coding agents interact with repositories or proprietary systems.
Malicious MCP or tool connections that give agents unsafe capabilities.
Prompt injection through local files or webpages that causes agents to misuse access.
Limited enterprise visibility because activity may happen inside an IDE, browser, or desktop app.
How TrojAI Helps
How TrojAI Secures Desktop Agents
TrojAI helps enterprises secure desktop agents without blocking productivity, giving security teams visibility and control over agent actions across user environments.
01
Control Access to Sensitive Resources
Limit what agents can read, retrieve, modify, or send outside approved boundaries.
02
Detect Risky Local Behavior
Monitor for suspicious prompts, unsafe tool use, data exfiltration, and unauthorized actions.
03
Protect Code and Credentials
Reduce the risk of source code, secrets, tokens, and proprietary data being exposed through agent workflows.
04
Enforce Real-Time Monitoring
Apply policy checks before agents act on files, commands, APIs, or external services.
05
Enable Safe Productivity
Let employees benefit from coding and desktop agents while giving security teams visibility and control.
Secure Your AI Agents Today