SentinelOne Brings AI Security to Regulated and Sovereign Systems
SentinelOne has expanded its portfolio to deliver autonomous AI-powered security across on-premise and self-hosted environments, targeting organizations that require strict data control. The move builds on the company’s position in cloud-independent endpoint protection, ensuring all data processing remains within a customer’s own infrastructure to maintain privacy and sovereignty. Already deployed across millions of on-premise endpoints, the enhanced offering now extends protection to servers, private cloud environments and data pipelines, enabling organizations to secure even fully air-gapped systems at scale.
“Empowering global organizations with the certainty that their data stays in their control is more urgent than ever given the need to adopt AI without compromising privacy. For too long, organizations in highly regulated sectors have faced a trade-off between the speed of AI security and total data sovereignty, privacy and control – especially for airgapped networks,” said Ana Pinczuk, President of Product and Technology at SentinelOne. “At SentinelOne, we are committed to breaking that trade-off. By delivering our most advanced autonomous engines and AI protections directly into the customer’s own hardware environment, we are giving them the freedom to innovate securely.”
The announcement comes amid growing demand from governments and regulated industries for complete control over data storage and processing. With the rapid adoption of AI, organizations are under pressure to ensure that sensitive data and applications remain secure without relying on third-party infrastructure. At the same time, increasing geopolitical risks are accelerating the shift toward air-gapped systems designed to operate securely without internet connectivity.
Building on its FedRAMP and GovRAMP-authorised on-premise capabilities, SentinelOne is extending AI-driven protection—previously associated with cloud deployments—to highly sensitive environments. Using a single lightweight agent, organizations such as national security bodies, financial institutions and healthcare providers can unify security across diverse infrastructure. This approach enables in-house data handling, allowing telemetry to be analysed locally for threat detection and investigation without exposure to external cloud services.
The expanded capabilities also enhance protection across private and sovereign cloud environments. SentinelOne’s technology secures servers, containers and storage systems entirely within the customer’s network, operating autonomously through multiple on-device detection engines without requiring constant internet access. Integration with platforms such as NetApp and Dell allows threats to be identified and contained at the point of entry, ensuring that data never leaves the secure perimeter during inspection or remediation.
In addition, the company is extending its protection to AI systems through its on-premise Prompt Security offering. Designed for fully disconnected environments, the solution identifies unsanctioned AI usage and redacts sensitive data in real time across applications. Acting as a dedicated safeguard for AI interactions, it helps prevent threats such as prompt injection attacks and data leakage while maintaining full operational sovereignty.
SentinelOne has also introduced an AI Data Pipeline tailored for on-premise deployments to improve how data is managed and analysed locally. The pipeline uses intelligent filtering to prioritise relevant data, helping reduce alert fatigue and infrastructure costs. It also enhances telemetry and monitors data flow health, providing deeper visibility and more reliable insights while ensuring data remains within the organisation’s environment.
The expanded portfolio is designed for flexible deployment across regions, enabling organisations to meet data residency and regulatory requirements while maintaining full control over their infrastructure and security operations.
