Microsoft is making significant strides in AI security with the development of a new scanner designed to pinpoint hidden backdoors within open-weight large language models (LLMs). This innovative tool addresses a critical vulnerability in the rapidly expanding AI landscape, particularly concerning models that are freely available and can be modified. The ability to inspect these open-weight LLMs for malicious intent or unintended vulnerabilities is paramount for ensuring the safe and reliable deployment of AI technologies.
The scanner's primary function is to identify subtle manipulations or unintended functionalities within LLMs that could be exploited for nefarious purposes. These backdoors could allow unauthorised access, data exfiltration, or the manipulation of AI outputs. By automating the detection process, Microsoft aims to provide developers and organisations with a robust defence mechanism against potential threats, fostering greater trust and resilience in AI systems. This development is a crucial step towards a more secure AI ecosystem, especially as more organisations adopt and integrate LLMs into their operations.
This proactive approach to AI security is particularly relevant in the context of 'Zero Trust' principles, which advocate for a 'never trust, always verify' security posture. By extending these principles to AI, Microsoft is demonstrating a commitment to safeguarding not only traditional IT infrastructure but also the emerging frontier of ar tificial intelligence. The development of this scanner underscores the growing need for specialised security tools tailored to the unique challenges posed by advanced AI models, ensuring that the benefits of AI can be harnessed without compromising security and integrity.
Fuente Original: https://thehackernews.com/2026/02/microsoft-develops-scanner-to-detect.html
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