Cybersecurity

Microsoft on Wednesday said it built a lightweight scanner that it said can detect backdoors in open-weight large language models (LLMs) and improve the overall trust in artificial intelligence (AI) systems.
The tech giant’s AI Security team said the scanner leverages three observable signals that can be used to reliably flag the presence of backdoors while maintaining a low false positive

Microsoft on Wednesday said it built a lightweight scanner that it said can detect backdoors in open-weight large language models (LLMs) and improve the overall trust in artificial intelligence (AI) systems.
The tech giant’s AI Security team said the scanner leverages three observable signals that can be used to reliably flag the presence of backdoors while maintaining a low false positive

Microsoft on Wednesday said it built a lightweight scanner that it said can detect backdoors in open-weight large language models (LLMs) and improve the overall trust in artificial intelligence (AI) systems.
The tech giant’s AI Security team said the scanner leverages three observable signals that can be used to reliably flag the presence of backdoors while maintaining a low false positive

Microsoft on Wednesday said it built a lightweight scanner that it said can detect backdoors in open-weight large language models (LLMs) and improve the overall trust in artificial intelligence (AI) systems.
The tech giant’s AI Security team said the scanner leverages three observable signals that can be used to reliably flag the presence of backdoors while maintaining a low false positive

Microsoft on Wednesday said it built a lightweight scanner that it said can detect backdoors in open-weight large language models (LLMs) and improve the overall trust in artificial intelligence (AI) systems.
The tech giant’s AI Security team said the scanner leverages three observable signals that can be used to reliably flag the presence of backdoors while maintaining a low false positive

Microsoft on Wednesday said it built a lightweight scanner that it said can detect backdoors in open-weight large language models (LLMs) and improve the overall trust in artificial intelligence (AI) systems.
The tech giant’s AI Security team said the scanner leverages three observable signals that can be used to reliably flag the presence of backdoors while maintaining a low false positive

Microsoft on Wednesday said it built a lightweight scanner that it said can detect backdoors in open-weight large language models (LLMs) and improve the overall trust in artificial intelligence (AI) systems.
The tech giant’s AI Security team said the scanner leverages three observable signals that can be used to reliably flag the presence of backdoors while maintaining a low false positive

Threat actors affiliated with China have been attributed to a fresh set of cyber espionage campaigns targeting government and law enforcement agencies across Southeast Asia throughout 2025.
Check Point Research is tracking the previously undocumented activity cluster under the moniker Amaranth-Dragon, which it said shares links to the APT 41 ecosystem. Targeted countries include Cambodia,

Threat actors affiliated with China have been attributed to a fresh set of cyber espionage campaigns targeting government and law enforcement agencies across Southeast Asia throughout 2025.
Check Point Research is tracking the previously undocumented activity cluster under the moniker Amaranth-Dragon, which it said shares links to the APT 41 ecosystem. Targeted countries include Cambodia,

Threat actors affiliated with China have been attributed to a fresh set of cyber espionage campaigns targeting government and law enforcement agencies across Southeast Asia throughout 2025.
Check Point Research is tracking the previously undocumented activity cluster under the moniker Amaranth-Dragon, which it said shares links to the APT 41 ecosystem. Targeted countries include Cambodia,