SentinelOne is expanding its AI security portfolio to bring autonomous protection to on-premise and self-hosted environments. The company aims to deliver advanced cybersecurity without relying on cloud infrastructure.

The new offerings build on SentinelOne’s position in next-generation endpoint protection with zero cloud dependency. All data is processed within the customer’s own environment. As a result, organizations gain full control over data privacy and sovereignty.

The expanded portfolio is already deployed across millions of on-premises endpoints. It now extends protection to servers, private clouds, and data pipelines at scale. Therefore, highly regulated public and private sector organizations can secure critical and airgapped environments using AI-driven capabilities without compromising control.

Ana Pinczuk, President of Product and Technology at SentinelOne, highlighted the growing need for data control. She stated that organizations have long faced a trade-off between adopting AI and maintaining full data sovereignty. However, the company aims to eliminate this challenge by delivering autonomous AI protection directly within customer-controlled environments.

Meanwhile, the cybersecurity landscape is shifting. Governments and regulated industries are demanding greater control over data processing and storage. This trend is accelerating with the rise of AI. In addition, increasing geopolitical risks are pushing critical infrastructure toward airgapped systems that operate without internet connectivity.

SentinelOne is building on its FedRAMP and GovRAMP-authorized on-premise capabilities. The updated solutions bring AI-powered protection to sensitive environments with the same level of security used in public cloud deployments. Using a single lightweight agent, organizations can standardize security across diverse infrastructures.

These deployments enable customers to retain all data in-house. Telemetry is streamed directly into internal systems for threat detection and investigation. Consequently, no data is sent to external cloud services. The company’s global footprint already secures tens of millions of endpoints across critical infrastructure sectors.

Furthermore, SentinelOne is enhancing protection for private and sovereign clouds. The platform provides real-time security for servers, containers, and data storage within customer networks. It uses multiple on-device detection engines that function without persistent internet access.

The solution also integrates with systems like NetApp and Dell. This enables automatic scanning and quarantine of malware at the point of entry. Therefore, sensitive data remains within secure boundaries during detection and response processes.

In addition, SentinelOne’s Prompt Security On-Premise extends protection to AI environments. It identifies shadow AI usage and redacts sensitive data in real time across applications. Acting as a firewall for AI tools, it blocks threats such as prompt injections and data leaks without requiring external connectivity.

The company has also introduced an AI Data Pipeline designed for on-premise environments. This system optimizes data flow using intelligent filtering. As a result, it reduces alert fatigue and lowers infrastructure costs by processing only relevant data. It also enriches telemetry and improves visibility into data streams.

Finally, these expanded offerings can be deployed anywhere. Organizations can meet local data residency and regulatory requirements while maintaining full control. This ensures they achieve true sovereignty without sacrificing performance, powered by advanced AI security.

Related post

View all