New Microsoft Security innovations and partnerships
New innovations for built-in and cross-platform security that embrace AI.
New innovations for built-in and cross-platform security that embrace AI.
DART was called into an engagement where the adversary had a foothold within the on-premises network, which had been gained through compromising cloud credentials. Luckily, this customer had deployed Azure ATP prior to the incident and it had already normalized authentication and identity transactions within the customer network.
To safeguard company assets, organizations need to augment their global cyber defense strategy with mobile threat intelligence.
Experts on demand is now generally available and gives customers direct access to real-life Microsoft threat analysts to help with their security investigations.
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.
Microsoft is positioned as a leader in The Forrester Waveâ„¢: Endpoint Security Suites, Q3 2019, receiving among the second highest scores in both the strategy and market presence categories.
Gartner named Microsoft a Leader in the 2019 Gartner Magic Quadrant for Endpoint Protection Platforms, positioned highest in execution.
Machine learning and natural language processing can automate the processing of unstructured text for insightful, actionable threat intelligence.
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.
Learn about the latest enhancements to Microsoft Threat Protection, the premier solution for securing the modern workplace across identities, endpoints, user data, apps, and infrastructure.
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.
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.