A harness over the stack you already run.
Weft sits across your existing security platforms instead of underneath them. Five capabilities make that work. None of them require a SIEM, and all of them get better when you have one.
Edge observability
Your first-party tools already hold their own data. Weft leaves it at rest where it sits. Detection and hunting queries run against telemetry in place, and Weft retrieves only the slices a security decision needs.
- No ingest-based pricing to outgrow
- No data-shaping middleware to build or maintain
- Data residency stays exactly where you set it
- Weft stores findings and evidence, not a second copy of your logs
| splunk | index=auth user=j.ortiz | 14 events |
| sentinel | SigninLogs upn=j.ortiz | 3 events |
| falcon | ProcessRollup2 FIN-LT-22 | 9 events |
| databricks | egress_flows FIN-LT-22 | 1 row |
Vendor-agnostic connectors
Weft keeps one canonical library of detections and translates each into the native language of every platform you run. A Splunk correlation search and a Sentinel analytics rule come from the same source of truth, and your engineers can read both.
- Outbound-only and read-only by default
- Credentials held in a broker, never in the portal
- 400+ prebuilt integrations for enrichment and response
# one canonical detection when process = rundll32.exe and parent = outlook.exe # deployed to splunk index=edr process_name=rundll32.exe parent_process_name=outlook.exe | stats count by host, user # deployed to sentinel DeviceProcessEvents | where FileName =~ "rundll32.exe" and InitiatingProcessFileName =~ "outlook.exe"
Portal, mobile app and the autonomy dial
Every customer gets a portal and a mobile app with open cases, actions taken and the evidence behind each one. The autonomy dial sets how far Weft goes on its own by asset class or action type, and high-impact actions require fresh verification even inside a trusted session.
How the dial worksCollective intelligence, kept private
When an indicator shows up in your environment, Weft contributes a cryptographic token rather than the indicator itself. Private set intersection compares tokens across customers, and a match only surfaces once enough independent organizations have seen the same thing.
No one, including Weft, sees another organization’s raw data.
- Threshold reveal keeps single-tenant noise private
- Traffic Light Protocol rules enforced in code
- STIX and TAXII interoperability
Data stitching and triangulation
Weft’s proprietary data model normalizes users, hosts, addresses and processes across every connected tool, so fragments that live in different platforms join into one timeline. Each event is enriched with identity, asset and threat intelligence context before it is scored.
Nothing escalates on a single signal. Weft corroborates across independent sources first, and validates identity context automatically, which takes the “was this you?” chase off your IT team’s plate.
- Proprietary entity model across all sources
- Enrichment with identity, asset and threat context
- Works with or without a SIEM in the mix
Built to be audited.
Every query, decision and action is written to an immutable, audit-grade record with retention you control, so the evidence an examiner asks for already exists.
See Weft run against your own stack.
Bring the tools you already own. We’ll show you what they can see together.