SentinelOne is moving deeper into the race to build the autonomous security operations center. The company has acquired Observo AI, a young firm known for its AI-native approach to managing security data pipelines.
The deal adds muscle to SentinelOne’s AI SIEM platform and strengthens its push toward data-driven, automated SOC workflows. By bringing Observo AI’s technology in-house, SentinelOne is betting it can ease one of the biggest pain points for security teams: the scale and complexity of the data that fuels modern detection and response.
“Security is, at its heart, a data problem, and legacy, rules-based data pipeline platforms simply weren’t built for today’s ever-growing attack surface and data rich security operations,” SentinelOne CEO Tomer Weingarten said in the company’s announcement. “Observo AI is miles ahead of its rivals and will uniquely benefit customers with an AI-native data architecture — one that is open by design, intelligent by default, and built for the scale and speed needed for autonomous security operations.”
What’s broken in today’s SOCs
Each day, SOCs are buried in a mountain of security data they can’t fully dig through. Every endpoint and application, along with cloud services, generates logs and alerts that then have to be sorted and stored. The result is ballooning costs and mountains of information that analysts can’t realistically parse in real time.
Legacy SIEMs and pipeline tools were built for a different era. They can ingest data, but they lack the agility to filter, enrich, and route it in ways that align with today’s sprawling attack surfaces and the budgets teams have to work with. The gap leaves SOCs struggling to balance visibility with affordability, often forced to choose between cutting data or cutting corners.
How Observo fits in
Observo AI was built to alleviate those exact pain points. Its telemetry pipeline is designed from the ground up with AI in mind, using policy-driven automation to decide what data gets enriched, routed, or stored. The approach can reduce volumes by as much as 80 percent without sacrificing fidelity.
If full logs are needed later for an investigation or audit, they can be restored on demand. That balance of efficiency and completeness is what sets Observo apart from older pipelines. Just as important, the platform works with open data formats. That gives enterprises flexibility to plug it into their existing tools and avoid being locked into a single vendor’s ecosystem.
“Bringing together Observo’s AI-native data pipeline with the world’s best AI-native cybersecurity platform is a huge win for customers and an opportunity for our team to work with an unprecedented network of partners, sellers, and fellow innovators,” said Gurjeet Arora, co-founder and CEO of Observo AI. “As part of SentinelOne, we have a rare opportunity to define the future of autonomous security and solve the data problems that make that possible.”
Implications for customers and the market
For enterprises, the appeal is obvious: lower costs and better visibility. By trimming excess data without losing the ability to call up full logs, organizations can shrink storage bills and still meet compliance obligations. The streamlined pipelines also help analysts focus on what matters instead of sifting through endless noise.
At the same time, the technology is built to feed the next wave of AI-driven security tools. SentinelOne sees Observo’s pipelines as the connective tissue between human analysts and agentic AI systems that can investigate, triage, and respond on their own. That dual purpose—supporting people today while preparing for autonomous workflows tomorrow—matches the growing appetite across the industry for AI that doesn’t just assist but acts.
Future of the SOC market
SentinelOne is positioning the Observo AI acquisition as more than a product upgrade. It fits into the company’s larger vision of an open, AI-powered platform that can serve both human analysts and autonomous systems. By folding telemetry pipelines into its SIEM and XDR stack, SentinelOne is signaling that the SOC of the future won’t be a collection of stitched-together tools but a coordinated environment where data flows cleanly and intelligence is shared.
The move also raises the stakes for other vendors chasing the same market. As enterprises demand faster, cheaper, and more automated operations, the ability to handle data efficiently will become a deciding factor in platform choices. SentinelOne is betting that its early integration of AI-native pipelines will give it an edge in shaping how modern SOCs are built and run.
