# Lineaje AI Kill Chain

## AI Kill Chain - See How You Are At Risk 

Critical security and compliance gaps can arise within AI systems when established safeguards are not followed. These include unsafe practices like hidden prompts, weak validation, poor authentication, and mishandling of sensitive data across AI models, MCP servers, and AI agents. For all stakeholders, from developers to GRC and legal teams, addressing these issues is essential to maintain integrity, transparency, and adherence to global standards while ensuring trust in AI-driven software ecosystems.

The following section covers 10 stages involved in executing an attack using artificial intelligence.

### 10 Stages of AI Kill Chain

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* [Stage 1: AI Reconnaissance](#stage-1-ai-reconnaissance)
* [Stage 2: Trust Establishment and Manipulation](#stage-2-trust-establishment-and-manipulation)
* [Stage 3: Instruction and Input Weaponization](#stage-3-instruction-and-input-weaponization)
* [Stage 4: Reasoning-Time Execution](#stage-4-reasoning-time-execution)
* [Stage 5: Tool and Environment Interaction](#stage-5-tool-and-environment-interaction)
* [Stage 6: Privilege Escalation](#stage-6-privilege-escalation)
* [Stage 7: Lateral Movement](#stage-7-lateral-movement)
* [Stage 8: Persistence](#stage-8-persistence)
* [Stage 9: AI Native Command and Control Center](https://docs.veedna.com/ai-kill-chain/the-stages-of-kill-chain/stage-9-ai-native-command-and-control-center)
* [Stage 10: Actions on Objectives](#stage-10-actions-on-objectives)