AI-first reduction
AI pattern detection summarizes normal activity, with reductions of up to 80% claimed.
Fleak vs Observo AI. A neutral layer, not one vendor's on-ramp.
Observo AI is now part of SentinelOne, sold as Singularity Data Pipelines and bundled with its AI SIEM. Fleak normalizes and routes security data to every SIEM, lake, and AI agent you run, repairs pipelines when sources drift, and runs on an open-source engine.
- Vendor-neutral
- Any SIEM or lake
- Self-healing on drift
- Open-source engine
Choose Fleak when
- You run, or may move to, a SIEM other than SentinelOne's.
- You want one pipeline feeding several SIEMs, lakes, and AI agents.
- You want schema drift repaired, not only volume reduced.
- You want public docs, an API, Terraform, and an open-source engine.
- You want to deploy in your own cloud, on-prem, or air-gapped.
Choose Observo AI when
- You've standardized on SentinelOne's AI SIEM, Singularity Data Lake, and Purple AI.
- You want the pipeline bundled into your SIEM contract.
- Your priority is AI-driven volume reduction into the SentinelOne platform.
Fleak vs Observo AI
at a glance.
| Capability | Fleak | Observo AI |
|---|---|---|
| Ownership | Fleak Independent and vendor-neutral | Observo AI Acquired by SentinelOne (closed September 2025), now Singularity Data Pipelines |
| Destinations | Fleak Any SIEM, lake, or AI agent: Splunk, Sentinel, Google SecOps, XSIAM, Databricks, Snowflake, S3, and more | Observo AI Current materials show SentinelOne's AI SIEM, Singularity Data Lake, and Purple AI |
| Packaging | Fleak A standalone platform | Observo AI Bundled as part of Singularity AI SIEM |
| Parsing and normalization | Fleak Brain-generated mappings to OCSF, UDM, ECS, ASIM, or custom, plus 211 community OCSF templates | Observo AI AI-generated Grok patterns and OCSF applied at ingest |
| Reduction | Fleak Intent-based routing, filtering, deduplication, sampling, and AI-suggested cuts checked against your SIEM's rules | Observo AI AI pattern detection that summarizes normal activity, with up to 80% reduction claimed |
| Schema drift | Fleak Detects and repairs mappings, automatically or with approval | Observo AI No named drift-repair feature in current materials. Positioned as adapting as data evolves |
| Execution engine | Fleak Zephflow, open source under Apache-2.0 | Observo AI Proprietary |
| Developer access | Fleak Public docs, REST API, SDKs, and Terraform | Observo AI Docs behind a login. No public API reference or Terraform provider found |
| Deployment | Fleak Managed SaaS, your cloud, on-prem, or air-gapped | Observo AI SaaS through SentinelOne. Earlier materials also described on-prem data planes |
| Pricing | Fleak No per-connector or per-event fees | Observo AI Not published. Custom per-TB contracts on AWS Marketplace |
Where Observo AI is strong.
Credit where it's due.
Observo built its name on AI-driven reduction, and inside SentinelOne it's a natural fit for that platform's customers.
Fast onboarding of custom schemas
AI-generated Grok patterns onboard custom sources quickly, and customers can keep their existing agents during a SIEM migration.
Native fit for SentinelOne
For SentinelOne customers, it feeds AI SIEM, Singularity Data Lake, and Purple AI directly, under one contract.
Where Fleak is different,
starting with who it works for.
Your pipeline holds every parser and routing rule you depend on. Fleak keeps it independent of any one SIEM vendor.
Neutral by design
Fleak isn't owned by a SIEM vendor. Every destination is first-class, and changing SIEMs is a routing change.
One pipeline, many destinations
Feed Splunk, Sentinel, Google SecOps, XSIAM, SentinelOne, Databricks, and S3 from the same normalized stream.
Pipelines that repair themselves
When a vendor changes a format, Fleak detects the drift and repairs the mapping in minutes.
An engine you can read
Zephflow, the execution layer, is open source under Apache-2.0. Inspect it, test it, and run it anywhere.
Docs and APIs in the open
Public documentation, a REST API, SDKs, and Terraform, so pipelines can be built and reviewed like code.
Deploy anywhere
Managed SaaS, your own cloud, on-prem, or air-gapped, with the same pipeline everywhere.
Keep your options open.
A pipeline should make it easier to change SIEMs, not harder.
Moving from Observo AI,
one source at a time.
01 / Map your pipelines
List sources, transforms, and destinations. Fleak matches each to a connector, a generated parser, or a routing rule.
02 / Run in parallel
Send the same sources through Fleak and compare the output field by field.
03 / Add destinations
Point the same normalized stream at any SIEM or lake you want to keep or evaluate.
04 / Cut over by source
Switch one source at a time. Rolling back is switching back.
FAQ
Frequently asked questions
Is Observo AI still independent?
No. SentinelOne acquired Observo AI in September 2025. It's now sold as Singularity Data Pipelines and bundled with Singularity AI SIEM.
Can Fleak send data to SentinelOne?
Yes. Fleak delivers normalized data to SentinelOne alongside any other SIEM or lake you run, so SentinelOne becomes one destination among several.
Why does vendor neutrality matter for a pipeline?
Your pipeline holds every parser and routing rule. If it belongs to your SIEM vendor, changing SIEMs means rebuilding it. A neutral pipeline makes the SIEM a destination you can change.
Does Fleak reduce volume as much as Observo?
Fleak routes by intent: signal to the SIEM, the full corpus to your lake, and noise nowhere. Customers see SIEM ingest down 60 to 80%, and every cut is checked against detection rules first.
How does pricing compare?
SentinelOne doesn't publish a price for Data Pipelines and bundles it with AI SIEM. Fleak doesn't charge per connector or per event. Book a call for a quote.
Observo AI details are based on SentinelOne product pages, press releases, and SEC filings, the AWS Marketplace listing, and archived observo.ai pages, as of October 2026. Product names and trademarks belong to their owners.
Bring the SIEMs you run today, and the ones you might run next.
30-minute working session. We'll route one source to two of them, live.
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