One thread through every tool you already run.
Weft correlates across Splunk, Microsoft Sentinel, CrowdStrike, Google SecOps and Databricks right where your data lives, then acts within limits you set. Nothing to migrate and nothing to rip out.
Open cases
Credential misuse leading to data exfiltration
Sign-in for j.ortiz from an ASN never seen for this usersentinel
rundll32 spawned by outlook.exe on FIN-LT-22crowdstrike
4.2 GB outbound to a destination with no prior historysplunk
FIN-LT-22 isolated, on-call analyst pagedweft
No SIEM required. Not anti-SIEM.
If you run a SIEM, Weft makes it better. It becomes one more independent source to correlate against, your existing detections keep firing, and nothing gets ripped out.
If you don’t run one, you don’t have to buy one. Weft correlates directly across the tools you already own, so you get the outcome without the ingest bill or the migration project.
Leave your data at rest until it’s needed.
Your first-party tools already collect and retain their own telemetry. Weft doesn’t make another copy. It leaves data where it sits and reaches in only when a security decision calls for it.
What Weft keeps is small by design: the findings, the evidence behind them and an audit-grade record of every action.
- No duplicate copy of your logs
- Retention stays governed by the tools you already pay for
- A light storage footprint, sized to cases rather than terabytes
Built the other way around.
Most platforms start by centralizing your data. Weft starts with the tools you already trust and works across them.
Your SIEM gets better
Already run Splunk or Sentinel as a SIEM? Its detections feed Weft’s correlation instead of competing with it, and nothing it does today changes.
More tools, more signal
Every platform you connect adds an independent witness, so a crowded stack becomes an advantage instead of a migration project.
Autonomy on your terms
Choose how far Weft goes on its own, by asset or action type, with step-up verification for anything high impact.
03:12:44 sentinel sign-in from new ASN j.ortiz 03:14:02 crowdstrike rundll32 child of outlook.exe FIN-LT-22 03:19:37 splunk 4.2 GB egress to rare host FIN-LT-22 ────────────────────────────────────────────── stitched 1 identity, 1 host, 3 sources enriched asset: finance laptop, user: privileged dial act and notify 03:20:05 action isolate FIN-LT-22, step-up verified 03:20:06 notify on-call paged, rollback ready
One alert is a guess. Three is a case.
Weft’s proprietary data model maps every user, host, address and process into one shared picture, so fragments from Splunk, Sentinel and CrowdStrike stitch into a single timeline. Each event is enriched with identity, asset and threat context, and Weft only acts or escalates once independent sources agree.
- Proprietary entity model stitches events across tools
- Enrichment with identity, asset and threat intel context
- Triangulated confidence before anything escalates
Five capabilities, one fabric.
Each is useful on its own. Together they replace the centralize-everything model instead of rebuilding it somewhere else.
Edge observability
Detections run against data at rest in the platforms you own. Weft retrieves only the slices a decision needs.
Vendor-agnostic connectors
Deep connectors for your core platforms, plus 400+ prebuilt integrations for everything else.
- Splunkfirst
- Microsoft Sentinelfirst
- CrowdStrikenext
- Google SecOpsnext
- Databricksnext
Portal and mobile app
Cases, actions and the evidence behind them, wherever the on-call person is.
Private collective intelligence
Indicators are matched across customers as cryptographic tokens. Nobody’s raw data is exposed.
org b 41d8…c09b
org c 41d8…c09b
org d 41d8…c09b
match revealed at k = 3
Data stitching and triangulation
A proprietary data model joins and enriches fragments across tools, then corroborates before escalating.
See Weft run against your own stack.
Bring the tools you already own. We’ll show you what they can see together.