We adopted a deep learning technique that was initially developed for natural language processing and applied to expand Microsoft Defender ATP’s coverage of detecting malicious PowerShell scripts, which continue to be a critical attack vector.
The post Deep learning rises: New methods for detecting malicious PowerShell appeared first on Microsoft Security. READ MORE HERE…
Machine learning and natural language processing can automate the processing of unstructured text for insightful, actionable threat intelligence.
The post From unstructured data to actionable intelligence: Using machine learning for threat intelligence appeared first on Microsoft Security. READ MORE HERE…
A collaborative, inclusive approach to creating AI and machine learning models can help increase your resilience to cyberattacks.
The post CISO series: Better cybersecurity requires a diverse and inclusive approach to AI and machine learning appeared first on Microsoft Security. READ MORE HERE…
Most machine learning models are trained on a mix of malicious and clean features. Attackers routinely try to throw these models off balance by stuffing clean features into malware. Monotonic models are resistant against adversarial attacks because they are trained differently: they only look for malicious features. The magic is this: Attackers can’t evade a monotonic model by adding clean features. To evade a monotonic model, an attacker would have to remove malicious features.
The post New machine learning model sifts through the good to unearth the bad in evasive malware appeared first on Microsoft Security. READ MORE HERE…
Advanced technologies in Microsoft Defender ATP next-generation protection exposed and defeated a widespread fileless campaign that completely “lived off the land” throughout a complex attack chain that run the info-stealing backdoor Astaroth directly in memory
The post Dismantling a fileless campaign: Microsoft Defender ATP next-gen protection exposes Astaroth attack appeared first on Microsoft Security. READ MORE HERE…
The cloud era has fundamentally changed the way businesses must think about security and identity. Learn the five principles driving the customer-obsessed identity strategy at Microsoft.
The post 5 principles driving a customer-obsessed identity strategy at Microsoft appeared first on Microsoft Security. READ MORE HERE…
While Windows Defender Antivirus makes catching 5 billion threats on devices every month look easy, multiple advanced detection and prevention technologies work under the hood to make this happen. Multiple next-generation protection engines to detect and stop a wide range of threats and attacker techniques at multiple points, providing industry-best detection and blocking capabilities.
The post Inside out: Get to know the advanced technologies at the core of Microsoft Defender ATP next generation protection appeared first on Microsoft Security. READ MORE HERE…