Security teams love the power of Google SecOps (formerly Chronicle)—fast detection, scalable infrastructure, and native integration across Google Cloud. But there’s a challenge most organizations still struggle with: the cost, complexity, and chaos of raw telemetry data.

Security data doubles every 2-3 years. Without control and context, even the best SIEM platforms can be overwhelmed with noise. That’s where Observo AI comes in.

We’re proud to partner with Google Cloud to bring the benefits of intelligent, agentic AI pipelines to Google SecOps customers. Observo AI removes the burden of managing telemetry at scale—so SOC teams can focus on investigating threats, reducing alert fatigue, and accelerating incident resolution.

Google SecOps + Observo AI: Built for Modern Security

Observo AI is an AI-native data pipeline purpose-built for security and observability use cases. For Google SecOps users, our platform acts as a pre-SIEM optimization engine—enriching, transforming, and filtering data before it hits the SecOps backend.

Faster Threat Detection

This means security teams can detect threats faster, because Observo AI enriches and routes only the most relevant, high-signal data to Google SecOps. By removing noise and adding context in real time, analysts can zero in on what matters without wading through thousands of redundant events.

Reduced Infrastructure Costs

At the same time, infrastructure costs are significantly reduced. Observo AI filters and summarizes data before it reaches your SIEM, decreasing storage, cloud egress, and compute demands. This pre-processing at the pipeline level slashes the cost of managing high-volume telemetry, especially from verbose sources like VPC Flow Logs.

More complete visibility

With less clutter and better-structured data, teams also gain more complete visibility. Observo AI makes it possible to onboard and normalize a broader range of log types—including custom app logs and previously excluded data—so you’re not forced to choose between coverage and cost.

80%+ Reduction in Low Signal Data

In many cases, Observo AI reduces telemetry volume by over 80%. That’s because our pipelines automatically collapse repetitive patterns and drop low-value events, ensuring that only actionable, enriched logs reach Google SecOps. The result is a cleaner, smarter data stream that accelerates detection while cutting waste.

What We Do for Google SecOps Customers

Google SecOps is a powerful platform for detecting, investigating, and responding to threats—but it works best when fed the right data. That’s where Observo AI comes in. We help Google SecOps customers get better results by optimizing the data that flows into the system: reducing noise, enriching context, and ensuring that only high-value telemetry reaches the platform. Here's how we make SecOps faster, leaner, and more effective.

Get Better Data In

Most security and operations teams want to ingest a broader range of data—such as custom application logs, cloud telemetry, and endpoint signals—to improve coverage and visibility. However, they’re often blocked by the complexity of working with unstructured log formats or the high cost of storing and processing that data.

Observo AI eliminates these barriers. Our platform uses AI-powered grok pattern detection to automatically parse unstructured or messy logs, removing the need to handcraft parsers or write regex. Once parsed, we translate telemetry into standardized formats that are fully compatible with Google SecOps and BigQuery, so the data can be used immediately for threat detection, analytics, or compliance.

To make the data even more useful, Observo AI enriches it with relevant business context, such as environment tags, application names, or ownership metadata. We also normalize inconsistent or nested fields across sources, so downstream queries become easier, faster, and more reliable.

With Observo AI, onboarding new data sources—especially unusual or custom formats—becomes straightforward. Our intelligent automation handles the complexity so your team doesn’t have to.

Optimize Before Ingest

Observo AI processes telemetry data as it is collected—either at the edge or in-stream—so that only meaningful, high-value information reaches Google SecOps. Using advanced AI models, Observo detects and summarizes repetitive traffic patterns, such as health checks or routine load balancer chatter, which often flood logs without adding security insight. It can also identify and filter out low-value traffic, like internal communications between trusted services, that don’t require further analysis.

In addition, Observo AI intelligently drops unnecessary fields that inflate payload size but contribute little to detection or investigation workflows. By trimming and enriching the data before it enters Google SecOps, organizations can reduce ingest volume by up to 80%. This not only cuts infrastructure and licensing costs but also boosts detection performance by dramatically improving the signal-to-noise ratio.

Route Data Wherever It’s Needed

Observo AI ensures that your telemetry reaches the right tools with the right context. While Google SecOps remains the primary destination for real-time threat detection and investigation, many organizations need flexibility in how and where their data is used. Observo AI enables multi-destination routing so that the same pipeline can support diverse use cases without duplicating effort or infrastructure.

High-value, security-relevant data can be routed directly to Google SecOps for immediate analysis. Meanwhile, full-fidelity logs—including those filtered or summarized for SIEM ingest—can be archived to Google Cloud Storage in compressed Parquet format. This archival layer provides long-term retention at a fraction of the cost of continuous indexing and makes it easy to rehydrate historical data on demand.

Observo AI also supports routing to additional destinations. For example, sanitized or enriched logs can be forwarded to BigQuery for deep forensic analytics, to SOAR platforms for automated response workflows, or to threat intelligence systems for correlation and enrichment. This flexibility is made simple with Observo’s drag-and-drop visual pipeline builder or natural language interface, allowing teams to configure sophisticated routing without writing custom code.

Built for Security, Designed for Compliance

Google SecOps customers often operate in highly regulated industries—such as healthcare, financial services, and government—where meeting compliance requirements like HIPAA, PCI DSS, and SOC 2 is non-negotiable. Observo AI is purpose-built to support these environments, helping organizations maintain strict security and governance standards without compromising efficiency or escalating costs.

Observo AI can also automatically detect sensitive data, such as PII, even when it's buried in open text fields or appears in unexpected places. By using advanced pattern analysis and contextual understanding powered by large language models (LLMs), Observo AI identifies and flags sensitive information across structured and unstructured telemetry—ensuring that nothing slips through the cracks.

Observo AI also makes it easy to implement tiered storage strategies. High-value logs used for real-time detection can be streamed to Google SecOps, while full-fidelity archives are stored separately in compressed Parquet format on Google Cloud Storage. This model keeps active detection performant and cost-effective while ensuring compliance with long-term retention requirements.

To satisfy audit and governance teams, Observo AI provides full transparency into every step of the pipeline. Schema changes are tracked automatically, and each transformation includes a “before, after, and delta” view that shows exactly how data has changed. These features ensure that your data workflows are not only secure, but also explainable and auditable—critical for compliance teams and board-level oversight.

In short, Observo AI gives security and compliance teams a governed, transparent, and efficient pipeline that protects sensitive data, supports long-term retention strategies, and keeps SecOps costs under control.

Rehydrate on Demand—Without Reindexing

Security investigations often require digging into historical data—but storing every log in a high-cost platform like Google SecOps isn't always practical. With Observo AI, you don’t have to choose between cost savings and visibility. We store full-fidelity logs in compressed Parquet format in Google Cloud Storage, retaining all the original details while keeping storage costs low. These archives are structured for high-performance access, even months or years after ingestion.

When an incident arises—whether it’s an emerging threat or a compliance inquiry—you can query that archived data on demand using either natural language or SQL, without the need to rehydrate the data into SecOps or pay for expensive reindexing. This on-demand analysis helps analysts move quickly, uncover patterns, and answer questions using complete datasets, even when those datasets weren’t sent to an active SIEM index.

And when deeper investigation is warranted, Observo AI lets you selectively route high-signal or enriched data from those archives into Google SecOps or any other analytics tool. This hybrid model ensures that you get both affordability and flexibility—fast answers for routine queries, and robust downstream integration for deeper analysis—without the burden of continuous full-scale indexing. It's a smarter, more sustainable way to handle long-term security data.

Observo AI + Google SecOps: Better Together

Observo AI is proud to partner with Google to elevate what’s possible with Google SecOps. This partnership reflects a shared commitment to helping security teams operate with more clarity, speed, and impact. By integrating Observo AI’s intelligent data pipeline with Google’s modern security platform, we’re making it dramatically easier for SOC teams to extract value from their telemetry—without being crushed by the operational and financial costs of managing it all.

Observo AI removes the burden of data management by automating everything from parsing and normalization to summarization, enrichment, and routing. This gives SecOps exactly the data it needs—clean, contextual, and compliant—so it can focus on what it does best: powering threat detection, investigation, and response. We’re excited to bring this level of precision and control to Google Cloud customers, unlocking new use cases and delivering cost-effective security at scale.

This collaboration marks more than just a product integration—it represents a shift in how modern SOCs can operate. Instead of drowning in noise or rationing visibility due to budget constraints, teams can now rely on Observo AI to intelligently filter, shape, and route telemetry to the right tools—including Google SecOps—at the right time. The result is a more agile, responsive, and resilient security operation that’s ready for what’s next.

We’re just getting started. Observo AI and Google are actively exploring new ways to bring even more value to GCP customers—through deeper integrations, faster time to insight, and AI-powered capabilities that let your team focus on outcomes, not overhead. With Observo AI and Google SecOps working together, you’re not just optimizing logs—you’re redefining the future of security operations.

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