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Detecting AI Agent Use & Abuse

TLDR: AI agents now mimic human users online, complicating detection of both legitimate and malicious activity. Traditional methods like CAPTCHAs and IP blocking are ineffective against sophisticated agents. Applications must enhance observability to differentiate between human and AI traffic. Consumer sites like Reddit and YouTube block some AI agents, but many sites lack adequate detection capabilities. Adapting detection strategies with machine learning is essential as AI agents evolve, balancing user experience with security.

https://stytch.com/blog/detecting-ai-agent-use-abuse/

DoppelBot: Replace Your CEO With an LLM

DoppelBot can replace your CEO with an LLM by fine-tuning an open-source language model on your Slack messages. The process involves scraping Slack data, fine-tuning a model using Low-Rank Adaptation, and deploying a serverless Slack bot that responds to interactions. This setup, which runs on Modal, allows for efficient scaling and enables users to leverage AI for productivity. Interested users can implement DoppelBot in their own workspaces by following the provided instructions.

https://modal.com/docs/examples/slack-finetune

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