Shift: AI-Powered Automation in Bug Bounties

Summary: Shift, a Kaido AI plugin, automates actions within bug bounty workflows by integrating AI into the HTTP proxy. It uses contextual data like requests, responses, and user-defined workflows to inform AI decision-making, pushing actions back to the proxy for execution, acting as a force multiplier for human-in-the-loop testing. Insights:

• Contextual data is crucial: Shift utilizes Kaido's state information, including requests, responses, workflows, and scope, to provide context to the AI, enabling informed decision-making and relevant actions.
• AI streamlines actions: The AI determines appropriate actions based on the provided context and executes them through the proxy, automating tasks within the bug bounty workflow.
• Cost of AI models: Using powerful models like Soda for AI processing can become expensive, particularly when handling large amounts of data per request. Proper Nouns:
• Shift: A Kaido AI plugin currently in closed beta that integrates AI into HTTP proxy for automated actions in bug bounty hunting.
• Kaido: An HTTP proxy presumably used in cybersecurity and bug bounty hunting.
• Soda models: Likely refers to large language models like those developed by Google AI, known for their cost implications. Research
• What other plugins or tools leverage AI to automate tasks in bug bounty hunting or penetration testing?
• What strategies can be employed to minimize the cost of using AI models like Soda in security tools?
• What are the limitations and potential security risks of integrating AI directly into HTTP proxies for automated actions?