{"id":33083,"date":"2023-08-08T03:00:00","date_gmt":"2023-08-08T10:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=33083"},"modified":"2023-08-07T17:12:47","modified_gmt":"2023-08-08T00:12:47","slug":"netspi-debuts-ml-ai-penetration-testing-a-holistic-approach-to-securing-machine-learning-models-and-llm-implementations","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2023\/08\/08\/netspi-debuts-ml-ai-penetration-testing-a-holistic-approach-to-securing-machine-learning-models-and-llm-implementations\/","title":{"rendered":"NetSPI Debuts ML\/AI Penetration Testing, a Holistic Approach to Securing Machine Learning Models and LLM Implementations"},"content":{"rendered":"
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NetSPI<\/a>, the global leader in offensive security, today debuted its ML\/AI Pentesting<\/a> solution to bring a more holistic and proactive approach to safeguarding machine learning model implementations. The first-of-its-kind solution focuses on two core components: Identifying, analyzing, and remediating vulnerabilities on machine learning systems such as Large Language Models (LLMs) and providing grounded advice and real-world guidance to ensure security is considered from ideation to implementation.<\/p>\n\n\n\n

As adoption of ML and AI accelerates, organizations must understand the unique threats that accompany this technology to better identify areas of weakness and build more secure models. NetSPI’s testing methodology is rooted in adversarial machine learning –  the study of adversarial attacks on ML and corresponding defenses. With this foundational research, the company\u2019s offensive security experts have the knowledge to better understand and mitigate vulnerabilities within ML models by putting them to the test against real adversarial attack techniques.<\/p>\n\n\n\n

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\u201cSecuring technologies like ML\/AI can be daunting, but our customers do not have to navigate the journey alone,\u201d said Nick Landers, VP of Research at NetSPI. \u201cInnovation in this space shows no signs of stopping \u2013 and we\u2019re excited to bring our wealth of knowledge in machine learning, cybersecurity, and data science to help organizations navigate the emerging space with security top of mind. Our goal is not to slow innovation, but to help organizations innovate with confidence.\u201d <\/p>\n<\/blockquote>\n\n\n\n

NetSPI’s ML\/AI Pentesting solution caters to organizations seeking to enhance the robustness, trustworthiness, and security of their ML systems, with a particular focus on Large Language Models (LLMs). During an assessment, customers can expect:<\/p>\n\n\n\n