Prevent Your Coding Agent from Deleting the Database.
Hidden payloads in issues and PRs. Your agent executes them.
The PromptPwnd Attack
Malicious payload hidden in issue → Agent executes it
Deep Taint Analysis
Track untrusted input from external sources and block it from reaching dangerous sinks.
Taint Tracking
Track data flow from untrusted sources through your agent's entire execution path.
Sink Detection
Identify dangerous operations like exec(), eval(), and subprocess that attackers target.
Why Engineering Teams Choose Inkog
RCE Prevention
Stop remote code execution before attackers can exploit your agents.
CI/CD Integration
Scan agent code in your pipeline. Block vulnerable code from shipping.
Shift Left Security
Find vulnerabilities during development, not in production incidents.
Frequently Asked Questions
What is indirect prompt injection?+
Indirect prompt injection occurs when attackers embed malicious instructions in content an AI agent will read—like GitHub issues or PRs. The agent unknowingly executes these commands.
How does Inkog prevent RCE in coding agents?+
Inkog tracks untrusted input from sources like GitHub Issues through your agent's code. It blocks paths where tainted data can reach dangerous sinks like exec() or subprocess.run().
What is taint analysis?+
Taint analysis tracks data from untrusted sources through your code to identify when it reaches sensitive operations. Inkog applies this to detect when AI agents can be manipulated through their inputs.
Ready to secure your coding agents?