Secure the Agentic Workforce.
Control what your agents can do, not just what they say.
Compliance Ready
Map findings to major frameworks automatically.
Anatomy of a RAG Attack
How attackers exploit agent pipelines
Shadow AI Discovery
Automatically detect unauthorized AI agents and LLM integrations across your codebase before they become compliance risks.
Prompt Injection Defense
Prevent prompt injection attacks with static analysis rules that identify vulnerabilities before they can be exploited in production.
How Inkog Breaks the Chain
Data Flow Graph analysis identifies where untrusted inputs can reach sensitive operations.
Why Security Teams Choose Inkog
Complete AI Visibility
Discover all AI agents and LLM integrations across your codebase automatically.
Proactive Risk Prevention
Catch risky prompts and data paths before they become breaches.
Compliance Without Friction
Meet EU AI Act and NIST requirements without slowing development.
Frequently Asked Questions
What is Shadow AI?+
Shadow AI refers to unauthorized AI agents and LLM integrations deployed without security team oversight—unapproved ChatGPT integrations, unauthorized coding assistants, or rogue agent deployments that bypass governance. Inkog scans your codebase to surface these hidden implementations.
How does Inkog detect prompt injection?+
Inkog uses static Data Flow Graph (DFG) analysis to trace how external inputs flow through your agent code. It identifies paths where untrusted data can reach LLM prompts without proper sanitization, detecting prompt injection vulnerabilities before runtime—without needing to execute your code or introduce runtime overhead.
What compliance frameworks does Inkog support?+
Inkog maps findings to EU AI Act, NIST AI RMF, SOC 2 Type II, ISO 27001, and GDPR. Automated evidence collection helps demonstrate compliance during audits.
Ready to secure your agentic workforce?