4x
Customer data onboarded
in one quarter at a top-3 security platform
Security platforms and MSSPs use Fleak as the integration layer behind their product. Customers connect their own sources, Fleak generates the parsers, and your platform receives OCSF. Self-healing catches the vendor format change before your customer does.
4x
Customer data onboarded
in one quarter at a top-3 security platform
6mo → 1wk
Per new source format
minutes for similar device classes
90%
Engineering capacity reclaimed
moved from log plumbing to threat detection
Customers buy your platform for its detections. They judge it on whether their data gets in, and on how long it takes.
A top-3 security platform faced more than 300 IoT and customer-source formats, each one a six-month engineering project.
A device vendor ships an update, a field moves, and your detections miss events until a customer escalates.
MSSPs onboard a different mix of tools for every client, and rebuild the same parsers in every tenant.
Fleak collects, parses, normalizes, and maintains every customer source. Your engineers write detections against one schema.
Embed Fleak's connector catalog in your app. Customers connect their own sources through a hosted form, and new connectors appear without a release.
The Brain maps each new customer source to OCSF from sample data. Similar device classes onboard in minutes, not sprints.
Every customer is an isolated tenant with its own credentials, encryption keys, and pipelines, all managed from one console.
Pull customer data into your platform, and deliver your findings back into their SIEM, lake, or SOAR without building a destination integration.
Show Fleak's branding or keep it invisible. Run on Fleak's cloud or yours, and keep customer secrets out of your code and logs.
Zephflow, the execution layer, is open source. Your team can read, test, and audit exactly what runs on customer data.
Per-tenant isolation at the network, storage, and key layers, with customer-managed keys in AWS KMS, Azure Key Vault, or Google Cloud KMS.
Define masking, routing, residency, and retention per client as code, and apply it across hundreds of isolated tenants from one control plane.
Every source you onboard for one client becomes a reusable template for the next, so onboarding gets faster with every customer.
Generated parser, reviewed by your team, running in days. Not on next quarter's roadmap.
Fleak's Brain turns a customer's sample data into a reviewed parser. Zephflow runs it deterministically at 8,000 events/sec per CPU. Your platform receives OCSF and never has to learn the source format.
Built for
A customer asks: do you support our IoT gateways?
How long until the answer is yes?
Hand-built
6 monthsSpec the format, write the parser, test it, and ship it in a release. Then maintain it through every firmware update.
With Fleak
< 1 weekSample the data, generate the OCSF mapping, review it, and deploy. Similar device classes take minutes.
Trust model
ReviewedYour engineers approve every generated parser before it touches customer data.
A top-3 security platform onboarded 4x more customer data in one quarter and moved 90% of its log-plumbing capacity back to threat detection.
"Customers judge a security platform by its detections. Detections are only as good as the data that reaches them. Fleak keeps that data in one schema, whatever the source."
Security vendors & MSSPs · Fleak Platform
30-minute working session. We'll generate the parser live and show you the OCSF output.
Receivers, API connectors, and cloud log discovery.
See Detail →211 templates, plus AI-generated mappings for the rest.
See Detail →A copilot for engineers. An MCP server for agents.
See Detail →