Retrieval Vs Poison Fighting Ai Supply Chain Attacks Elasticsearch Labs

LLM Poisoning: Combatting AI Supply Chain Attacks — Search Labs

LLM Poisoning: Combatting AI Supply Chain Attacks — Search Labs This ai supply chain has some of the same vulnerabilities as software binaries. in this article, i'll explain and demonstrate how the same popular elasticsearch retrieval techniques used to combat ai hallucination can also protect against a poisoned large language model (llm). In this post, we'll look at threats that affect ai specific resources in supply chains, which are the software and data artifacts that determine how an ai service operates. supply chain artifacts can include training datasets, pre trained models, and third party ai libraries.

Retrieval Vs. Poison — Fighting AI Supply Chain Attacks - Search Labs

Retrieval Vs. Poison — Fighting AI Supply Chain Attacks - Search Labs The proliferation of ai/ml tools, and their enormous data training sets (often with uncertain origins), opens the door for new types of software supply chain threats, including the poisoning of ai training data. Ai generated computer code is rife with references to non existent third party libraries, creating a golden opportunity for supply chain attacks that poison legitimate programs with. In ml supply chain attacks threat actors target the supply chain of ml models. this category is broad and important, as software supply chain in machine learning includes even more elements than in the case of classic software. Recent examples of ai api attacks include the zenml compromise or the nvidia ai platform vulnerability. while both have been addressed by their respective vendors, more will follow as cyber criminals expand and diversify attacks against software supply chains.

Retrieval Vs. Poison — Fighting AI Supply Chain Attacks - Search Labs

Retrieval Vs. Poison — Fighting AI Supply Chain Attacks - Search Labs In ml supply chain attacks threat actors target the supply chain of ml models. this category is broad and important, as software supply chain in machine learning includes even more elements than in the case of classic software. Recent examples of ai api attacks include the zenml compromise or the nvidia ai platform vulnerability. while both have been addressed by their respective vendors, more will follow as cyber criminals expand and diversify attacks against software supply chains. Hackers may exploit vulnerabilities in ai systems, compromising their integrity and undermining the safe deployment of ai technologies. the guidance emphasizes the importance of proactive measures to mitigate these risks, ensuring the responsible and secure use of ai across all sectors. Generative ai is moving so fast. i wrote a blog on using elasticsearch to protect against the poisonllm supply chain attack. protect the fact supply chain!. Someone can poison a dataset in such a way that when it is used to train a system, the system will be poisoned and make wrong decisions. such a situation could put at risk every company that. This article explores how strategies typically used to combat ai hallucination, particularly in the context of elasticsearch®, can also serve to protect against poisoned large language models.

Retrieval Vs. Poison — Fighting AI Supply Chain Attacks - Search Labs

Retrieval Vs. Poison — Fighting AI Supply Chain Attacks - Search Labs Hackers may exploit vulnerabilities in ai systems, compromising their integrity and undermining the safe deployment of ai technologies. the guidance emphasizes the importance of proactive measures to mitigate these risks, ensuring the responsible and secure use of ai across all sectors. Generative ai is moving so fast. i wrote a blog on using elasticsearch to protect against the poisonllm supply chain attack. protect the fact supply chain!. Someone can poison a dataset in such a way that when it is used to train a system, the system will be poisoned and make wrong decisions. such a situation could put at risk every company that. This article explores how strategies typically used to combat ai hallucination, particularly in the context of elasticsearch®, can also serve to protect against poisoned large language models.

AI attacks at the retrieval, content & data supply chain level #aisecurity #ai