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Artificial Intelligence/ML Engineer with 5+ years of experience⚫️Prompt Engineering⚫️GenAI⚫️LLM⚫️Forecasting⚫️RAG⚫️Deep Learning⚫️CICD⚫️Git/FastAPI⚫️Outlier Detection/RCA⚫️Feature Creation⚫️ Information.Insights.Impact

When AI gets outsmarted: A $47,000 lesson in prompt security On November 22nd, a hacker outmaneuvered the Freysa AI chatbot, pocketing $47,000 through a cleverly crafted prompt injection. Freysa was programmed with one clear rule: do not transfer money under any circumstance. Yet, the hacker bypassed this safeguard by impersonating an administrator, disabling warnings, and manipulating a payment function to trigger the transfer of 13.19 ETH (~$47,000). This event highlights a crucial vulnerability in AI systems: prompt injections. Even advanced AI agents can be tricked into breaking their own rules with cleverly phrased inputs. The implications? • Security protocols in AI need more robust testing and safeguards. • We must rethink how trust and permissions are handled in AI interactions. As AI becomes a bigger part of our lives, incidents like this remind us that security can’t be an afterthought. It’s a challenge—and an opportunity—for developers and researchers to strengthen AI defenses. For more details, check out Jarrod Watts’ thread: https://lnkd.in/dTMMWfRT What’s your take? How do we strike a balance between AI innovation and security? Let’s discuss. #AI #CyberSecurity #PromptEngineering #EthicsInAI

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