US EditionMicrosoft's AI Agent only Caught 26% of Malware in a Test
MICROSOFT, AUG 5 – Project Ire autonomously reverse engineers malware with 90% accuracy and a 2% false positive rate, aiming to assist human researchers and enhance threat detection in Microsoft Defender.
- On Tuesday, Microsoft announced Project Ire, prototype AI for autonomous malware detection via reverse engineering of software files.
- Amid evolving attack techniques, Project Ire uses autonomous reverse engineering and large language models to help the IT security sector leverage AI against concealed threats.
- In tests involving nearly 4,000 files, Project Ire correctly flagged roughly a quarter of malware and identified 90% of files in a Windows driver dataset, with only 2% false positives.
- Microsoft will integrate Project Ire into Microsoft Defender as a binary analyzer, which already produced an automatic blocking decision against malware tied to an elite hacking group.
- Looking ahead, the team plans to scale Ire’s speed and accuracy for first-encounter classification, emphasizing its role in assisting overburdened human analysts amid rising AI adoption in cybersecurity.
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Microsoft has unveiled Project IRE, a prototype artificial intelligence (AI) agent capable of autonomously identifying and classifying malware, which will help bolster Defender's reviews.
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Total News Sources20
Leaning Left3Leaning Right2Center2Last UpdatedBias Distribution43% Left
Bias Distribution
- 43% of the sources lean Left
43% Left
L 43%
C 29%
R 29%
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