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Prakash

Posted on • Originally published at jdsemrau.substack.com

Governing Ambition with OWASP LLM on Langfuse

Governing Ambition with OWASP LLM on Langfuse provides a practical guide for developing secure and accountable AI agents in production environments. The article aligns the OWASP Top 10 vulnerabilities for Large Language Model (LLM) applications with Langfuse’s observability tools, outlining how to effectively detect and manage risks such as prompt injection, data leakage, model poisoning, excessive agency, and misuse of generated code.

For tech professionals, developers, and AI/ML enthusiasts, this piece presents a concrete framework for LLM security and AI governance. It emphasizes the need for measurable and auditable agent behavior. Readers will learn specific strategies to implement governance protocols that mitigate risks associated with these powerful AI systems. The article covers real-world implications of each vulnerability and suggests actionable steps to enhance the security posture of LLM applications.

Moreover, the integration of Langfuse's monitoring capabilities enables teams to observe agent interactions in real-time, facilitating a proactive approach to risk management. By articulating the challenges and solutions in a straightforward manner, the article serves as a valuable resource for anyone involved in designing or operating LLM systems.

Whether you’re looking to bolster security measures, ensure compliance, or simply understand the intricacies of LLM governance, this article is an essential read. It combines technical details with practical applications, ensuring that readers can apply the insights to their own projects effectively.

Read the full article at: https://jdsemrau.substack.com/p/governing-ambition-with-owasp-llm

Read the full article here

“Joe ain’t vicious, you understand. He ain’t like one of these ambitious robots you read about that make up their minds the human race is inefficient and has got to be wiped out an’ replaced by thinkin’ machines. Joe’s got ambition. If you were a machine, you’d wanna work right, wouldn’t you? That’s Joe. He want to work right. An’ he’s a logic. An’ logics can do a lotta things that ain’t been found out yet. So Joe, discoverin’ the fact begun to feel restless. He selects some thinks us dumb human

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