Microsoft Chief Cybersecurity Strategist, Jonathan Trull, outlines four principles any organization can use to improve the effectiveness of its SOC.
The post Microsoft’s 4 principals for an effective security operations center appeared first on Microsoft Security. READ MORE HERE…
Two new machine learning protection features within the behavioral blocking and containment capabilities in Microsoft Defender ATP specialize in detecting threats by analyzing behavior, adding new layers of protection after an attack has started running.
The post In hot pursuit of elusive threats: AI-driven behavior-based blocking stops attacks in their tracks appeared first on Microsoft Security. READ MORE HERE…
A new fileless malware campaign we dubbed Nodersok delivers two very unusual LOLBins to turn infected machines into zombie proxies.
The post Bring your own LOLBin: Multi-stage, fileless Nodersok campaign delivers rare Node.js-based malware appeared first on Microsoft Security. READ MORE HERE…
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…
Learn how Towne Properties uses Windows Defender Antivirus and Morphisec to protect against advanced memory-based attacks while simplifying operations.
The post Improve security and simplify operations with Windows Defender Antivirus + Morphisec 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…
Through a cross-company, cross-continent collaboration, we discovered a vulnerability, secured customers, and developed fix, all while learning important lessons that we can share with the industry.
The post A case study in industry collaboration: Poisoned RDP vulnerability disclosure and response 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…
In a world of booming mobility, Pradeo Security Mobile Threat Defense and Microsoft are partnering together for a brighter and more secure future.
The post How to cost-effectively manage and secure a mobile ecosystem 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…