SentinelOne, the autonomous endpoint protection company, today released its Nexus Embedded AI software development kit (SDK), enabling organizations to prevent malicious threats from entering non-endpoint attack surfaces. The SDK embeds SentinelOne's Static AI engine to provide real-time threat prevention. The Static AI engine is consistently ranked in the top VT engines and third party tests for efficacy and lowest FPs.

The SDK's portable technology can be leveraged to protect and scan all traffic in cloud services like email and web gateways, CASBs, file sync and share services, traditional file servers, USB scanning kiosks, medical devices, SCADA/ICS instances, containers and many more use cases.

"Our Static AI engine is an amazingly effective tool in preventing malicious attacks pre-execution and is the driver enabling this SDK to extend our next-gen protection far beyond traditional endpoints," said Daniel Bernard, VP of Business Development, SentinelOne. "Cyber criminals are taking advantage of any entry way possible, and by releasing this SDK we aim to utilize our static protection capabilities to secure a greater number of enterprise attack surfaces - especially in protecting critical cloud services and workloads."

SentinelOne's SDK functions completely without internet or cloud connectivity in air-gapped and isolated environments. The SDK's output is not only a benign, malicious and suspicious classification, but also indicators of compromise (IOCs) to explain the classification. This enables operators to better understand why the SentinelOne platform deemed the file as a threat.

Compatible SDK file formats include: portable executables, PDFs, legacy Microsoft Office Suite and new Microsoft Office Suite file formats. SentinelOne's SDK can be embedded in high throughput applications such as email gateways and file sharing systems.

By applying machine learning and AI, SentinelOne Endpoint Protection Platform (EPP) proactively protects organizations from advanced threats, as well as detects and remediates fully automatically.