G2

Vivek U.

Founder

Enterprise (> 1000 emp.)

8/24/2026

Business partner of the seller or seller's competitor, not included in G2 scores.

"Centralized Monitoring That Speeds Up Threat Detection and Investigations"

4.5/5

What do you like best about Google Security Operations?

Google Security Operations (formerly Google Chronicle) is a cloud-native SIEM and SOAR platform built on Google's infrastructure. It's designed for enterprises to retain, analyze, and search massive volumes of security telemetry data at scale, with a default 12-month data retention period. The platform ingests data through forwarders, collectors, ingestion APIs, and third-party integrations, then normalizes it using the Unified Data Model (UDM) to enable correlation and contextual analysis Review collected by and hosted on G2.com.

What do you dislike about Google Security Operations?

The SOAR/SIEM integration feels bolted together, and the YARA‑L learning curve is steep.

Two specific pain points:

The UI inconsistency – The SIEM side (Chronicle) and the SOAR side (playbooks) don't feel like one product. Navigation, workflows, and even design language shift between the two. Alert management in particular is underdeveloped – filtering, bulk actions, and case management are clunkier than they should be.

YARA‑L is powerful but punishing – For teams coming from Splunk SPL or KQL, the transition is rough. Documentation is thin, there are few out-of-the-box detection rules, and writing custom rules requires dedicated training. You can't just "plug and play" – you need a mature detection engineering team to make it sing.

Also, for all its cloud-native hype, some users report query performance is 2–3× slower than Splunk for certain high-cardinality searches, and native dashboards are basic compared to competitors. Review collected by and hosted on G2.com.

What problems is Google Security Operations solving and how is that benefiting you?

The 3 Big Problems It Solves (And How You Benefit)

Problem #1: Your data is too big, and your old SIEM is too slow (or too expensive).

Legacy SIEMs charge you per gigabyte ingested, so you have to pick and choose which logs to keep—and you usually dump data after 30–90 days.

How this benefits me:

I now ingest everything—firewall, DNS, endpoints, cloud logs, you name it—without budget anxiety. And because it runs on Google's infrastructure, I can search a full year of data in seconds. Last month, I hunted down a compromise that originally happened 8 months ago and went undetected. With any other SIEM, that data would have been long deleted. I caught a threat that was literally hiding in plain sight.

Problem #2: My logs speak 50 different languages, and I waste hours translating them.

Firewall logs look nothing like Windows Event logs, which look nothing like AWS CloudTrail. Writing one query across all of them was impossible—I had to run separate searches and stitch the story together manually.

How this benefits me:

Google's Unified Data Model (UDM) automatically normalizes every log source into the exact same field structure. Now, I write one single query—for example, ip = "malicious-IP"—and it instantly searches firewalls, endpoints, cloud, and identity systems in parallel. What used to take me 2 hours of manual correlation now takes 2 minutes. I get to go home on time, and my incident reports are actually accurate.

Problem #3: Alert fatigue is drowning my team, and we can't tell real threats from noise.

We used to get thousands of generic alerts per day. By the time we triaged them, real attacks were already moving laterally.

How this benefits me:

Google bakes in Mandiant threat intelligence and Gemini AI directly into the alerts. Instead of a raw alert saying "Suspicious PowerShell," it tells me: "This matches a known nation-state TTP, here's the attack chain, and here are the three high-risk assets involved." I went from investigating 100 alerts a day to focusing on the 5 that actually matter. My stress dropped, my mean-time-to-respond (MTTR) improved by 60%, and my boss finally stopped asking "why are we missing things?" Review collected by and hosted on G2.com.