Announcement

COGNNA closes $9.2M Series A Investment Round

Learn More ›
Google
December 16, 2025

Google SecOps: The Foundation of Modern Security Operations

Blog Image

The cyber landscape isn’t just changing; it’s accelerating. Security teams today are drowning in data but starving for context. We are logging more than ever before; cloud telemetry, endpoint logs, network traffic, yet the average time to detect and contain a breach remains uncomfortably high.

This is the "data overload" paradox: the more data we collect, the harder it becomes to find the needle in the haystack. Legacy SIEMs (Security Information and Event Management systems) were simply not built for the petabyte-scale era. They creak under the weight of modern ingestion rates, forcing teams to make dangerous compromises, like filtering out security relevant logs or archiving data into "cold storage" where it becomes effectively useless for real-time hunting.

Enter Google SecOps.

Born from Google’s need to protect its own global infrastructure, this platform was designed specifically to solve the data overload paradox. Let's break down exactly what Google SecOps is, the planet-scale architecture behind it, and why it has become the backbone of modern security operations.

What is Google SecOps?

In simple terms, Google SecOps (formerly known as Chronicle) is a cloud-native security operations platform. But to call it just a "SIEM" is a disservice. It is a unified platform that combines:

  1. SIEM: For collecting and analyzing massive amounts of data.
  2. SOAR (Security Orchestration, Automation, and Response): For automating the response to those threats.
  3. Threat Intelligence & Enrichment: Adds context to alerts, including threat intelligence and technical insights like IP, domain, and geolocation data..
  4. Case Management: Tracking alerts, investigations, evidence, and response actions in a single workflow for efficient end-to-end incident handling.
  5. Dashboard & Reporting: Offering real-time visibility into threat activity, operational performance, and overall security posture.
  6. Generative AI (SecGemini): Assisting analysts with natural language queries, summarizing investigations, generating complex search queries, and accelerating decision-making.

It was born from a simple internal question at Google: "How do we protect our own massive infrastructure?" The answer was to build a security layer on top of the same core infrastructure that powers Google Search and Gmail.

The result is a platform that allows organizations to ingest, normalize, and search all their security telemetry at the speed of a Google search.

The "Secret Sauce": Infrastructure & Architecture

The defining characteristic of Google SecOps is its infrastructure. Unlike traditional vendors who are trying to retrofit on-premise technology for the cloud, Google SecOps is serverless and elastic by design.

1. Speed and Scalability

Built on Google’s core cloud infrastructure, Google SecOps can ingest petabytes of events per second without pipeline failures or bottlenecks. Unlike other vendors, it can handle massive telemetry volumes while executing detection rules reliably, without lag or rule breakage. Analysts can search across a full year of DNS logs, firewall events, or endpoint telemetry in seconds, all without managing “hot,” “warm,” or “cold” storage tiers. This combination of instant search, uninterrupted rule execution, and massive scale is what enables real-time, high-fidelity threat detection at enterprise scale.

2. The Unified Data Model (UDM)

One of the biggest headaches in security is data normalization. A firewall log from Vendor A looks different than a firewall log from Vendor B. Google SecOps solves this with the Unified Data Model (UDM).

When data enters the platform, it is immediately normalized into a standard format. This means your detection rules (written in YARA-L) don’t need to worry about the source of the data. You write a rule for "suspicious login," and it applies to every system in your environment automatically.

3. 12 Months of Hot Retention

This is critical. Most attacks are not discovered immediately. The industry average dwell time (how long an attacker is inside before detection) can be weeks or months. Google SecOps offers 12 months of hot retention by default. This means if you discover a new Indicator of Compromise (IoC) today, you can instantly search back a full year to see if that IP address ever touched your network.

Why It Matters: The Shift from Reactive to Proactive

The importance of this infrastructure cannot be overstated. When you remove the limits on speed and storage, you change the behavior of the analyst.

  • No More Data filtering: You don't have to decide which logs to keep and which to drop to save money or bandwidth. You ingest everything.
  • Enriched Context: Because Google owns VirusTotal and Mandiant, threat intelligence is baked into the platform. Analysts also see technical enrichment for IPs and domains, including geolocation, ASN, hosting provider, and other metadata, giving full context for faster, accurate investigations.
  • Gemini AI: Google has integrated SecGemini, their generative AI, directly into the console. Analysts can ask questions in plain English to generate complex queries, create detection rules, and auto-populate case summaries, descriptions, and timelines, acting as a force multiplier for SOC teams..

COGNNA and Google SecOps: A Powerful Partnership

At COGNNA, we recognized early on that the future of cybersecurity wasn't in building another data lake; it was in Agentic AI and automated decision-making. However, AI needs data; fast, context-aware, and comprehensive data, to function effectively.

That is why COGNNA is built on Google SecOps.

We utilize Google SecOps as our foundational data and analytics engine. We leverage its ability to ingest massive telemetry and its lightning-fast search capabilities to fuel our proprietary COGNNA Nexus platform.

How We Integrate

While Google SecOps provides the muscle (storage, speed, and standard detection), COGNNA provides the brain (Agentic AI and local context).

  1. Agentic AI Layer: We layer our AI agents on top of the Google SecOps pipeline. While Google provides excellent tools for detection, our AI agents are trained to mimic human analyst intuition. They automatically correlate alerts, discard false positives (reducing noise by up to 99%), and stitch together complex attack narratives that a standard rule might miss.
  2. Localized Intelligence: As a regional leader, COGNNA injects local threat intelligence specific to our region’s threat landscape into the Google SecOps ecosystem. We ensure that the global power of Google is tuned to the specific regulatory and threat realities of our customers.
  3. Unified Visibility: Our integration ensures that customers don't just get a "log dump." They get a managed, compliance-ready view of their security posture. We use Google’s APIs to pull insights directly into the COGNNA dashboard, providing a seamless experience where the complexity of the underlying query language is hidden behind our intuitive interface.
  4. Automated Response: COGNNA leverages Google SecOps’ SOAR capabilities integrated with SecGemini to automate response workflows. Detection triggers can automatically execute pre-defined playbooks, while Gemini assists by generating rules, mapping attack timelines, and orchestrating remediation actions, enabling faster, consistent, and intelligent response without analyst intervention.

The Result for Our Customers

By building on Google SecOps, COGNNA allows customers to bypass the years of engineering required to set up a modern SOC. You get the planet-scale infrastructure of Google, combined with the specialized, AI-driven protection of COGNNA, from day one, without worrying about management, breaking, or losing availability, thanks to the platform’s resilience and reliability.one.

Conclusion

The battle against cyber threats is asymmetric; attackers only need to be right once, while defenders need to be right every time. Google SecOps levels the playing field by providing the speed and scale necessary to see the whole picture.

By building COGNNA on top of this powerhouse, we are delivering on the promise of a modern SOC: one that is fast, intelligent, and relentlessly focused on stopping threats before they become breaches.

Table of Contents