Today's announcement that Observo AI is joining SentinelOne isn't just about combining two companies. It's about accelerating a fundamental transformation in how security operations work—moving from reactive, manual processes to truly autonomous defense.

The vision is bold: security operations that think, adapt, and respond faster than any human team could alone. But that future requires rethinking security data from the ground up.

The Breaking Point We All Saw Coming

When my co-founder Ricky and I started Observo AI, we were watching security teams hit a wall that everyone in the industry could see approaching.

Security data was exploding—endpoints, cloud workloads, identity systems, applications, and now AI agents all generating massive telemetry streams. But the infrastructure to handle that data hadn't evolved. Teams were spending more time fighting their pipelines than fighting threats.

I saw this from the engineering side: brilliant technical teams drowning in data plumbing instead of building defenses. Ricky saw it from the product perspective: analysts buried in noise, missing critical signals, burning out from alert fatigue.

The math was simple and brutal. Data volumes doubling every two years. SIEM costs spiraling upward. Teams are forced to choose between comprehensive visibility and staying within budget. All while threats were moving faster and becoming more sophisticated.

We realized the entire approach was backwards. Everyone was trying to collect everything and filter later. But the future of security—autonomous, AI-powered defense—requires the opposite: intelligent filtering and enrichment at the source.

Autonomous SOCs Need Autonomous Data

The concept of an autonomous SOC isn't just about better detection algorithms or faster response playbooks. It's about creating systems that can process, understand, and act on security data without constant human intervention.

But autonomous systems are only as good as the data they receive. Feed an AI agent noisy, duplicated, context-free logs, and you get noisy, unreliable responses. Feed it clean, enriched, anomaly-scored telemetry, and suddenly you have a system that can think and act like your best analyst—but at machine speed across your entire environment.

That's why we built Observo AI as a streaming intelligence layer. Our platform doesn't just move data—it transforms it in flight. Reducing volume by up to 80% while preserving every critical signal. Adding threat intelligence, geolocation, and behavioral context in real-time. Detecting anomalies at the source, not after expensive storage and indexing.

Most importantly, we designed it to be open and interoperable. The autonomous SOC isn't about vendor lock-in—it's about intelligent orchestration across your entire security ecosystem.

Why This Partnership Changes Everything

SentinelOne has been building the autonomous SOC vision for years. They've proven that AI-native security platforms can outperform traditional approaches in detection, response, and threat hunting. But they understood something crucial: autonomous operations require autonomous data pipelines.

That's where our visions align perfectly.

SentinelOne brings the most advanced AI-powered security platform in the industry. Observo AI brings the streaming telemetry intelligence layer that autonomous systems need to reach their full potential. Together, we're creating an end-to-end architecture where data becomes intelligent at the edge, flows seamlessly across tools and teams, and powers both human analysts and AI agents with the context they need to stop threats before they cause damage.

This isn't about incremental improvement. It's about fundamentally changing what's possible in security operations.

Rethinking Security Data Architecture

The traditional security architecture assumes humans will analyze most alerts and make most decisions. Data gets collected, stored, and processed in batches. Rules are static. Enrichment happens after ingestion. Response is reactive.

The autonomous SOC model flips this entirely:

• Intelligence at the source - Data becomes smart before it's stored or analyzed
• Streaming context - Threat intelligence, behavioral baselines, and environmental metadata flow in real-time
• Adaptive filtering - AI continuously learns what matters in your specific environment
• Predictive routing - Different data types flow to optimal destinations based on content and context
• Autonomous enrichment - Systems add value without human intervention

This architecture doesn't just reduce costs or improve performance. It enables entirely new capabilities. AI agents that can investigate complex incidents across multiple data sources. Predictive threat hunting that identifies risks before they become breaches. Response systems that adapt their playbooks based on real-time threat landscape changes.

The Future We're Building

Security teams shouldn't have to choose between comprehensive visibility and budget constraints. They shouldn't spend their expertise managing data pipelines instead of hunting threats. They shouldn't be limited by the ingestion costs of their SIEM or the rigid schemas of proprietary platforms.

The autonomous SOC we're building with SentinelOne solves all of these problems. It gives security teams intelligent data that works harder, detects faster, and adapts continuously. It preserves architectural choice while delivering autonomous capabilities. It reduces operational overhead while expanding defensive possibilities.

This is what the next generation of security operations looks like: systems that don't just react to threats, but anticipate and prevent them. Teams that focus on strategy and investigation instead of alert triage and data wrangling. Organizations that move faster than their adversaries because they operate with intelligence, not just information.

Why Now

The timing for this partnership couldn't be better. AI is transforming every aspect of cybersecurity, but most organizations are still operating with data architectures designed for manual processes. The gap between what's possible and what's deployed is widening every day.

By joining SentinelOne, we're not just accelerating our own roadmap—we're helping define the standard for how autonomous security operations should work. We're proving that intelligent data pipelines aren't a luxury or a future consideration. They're the foundation that makes everything else possible.

The autonomous SOC isn't coming someday. It's here now. And with SentinelOne, we're making it accessible to every organization that's tired of fighting their data instead of their threats.

The future of security is autonomous, intelligent, and open. Ricky and I are thrilled to build that future with the team at SentinelOne.

– Gurjeet & Ricky