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5 Critical AI Failure Paths Every Developer Should Prepare For
- AI integration in web applications is moving faster than standard security practices.
- While AI agents and LLM APIs add massive capabilities, they also introduce unprecedented security risks that traditional playbooks miss.
- Building secure AI-driven applications requires identifying failure paths before deployment.
- Here are 5 critical AI failure paths every developer and security team must prepare for: Prompt Injection & Control Hijacking Unsanitized user inputs can override system instructions, forcing the AI model to leak data, bypass business logic, or execute unintended actions.
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