Information Technology

SentinelOne@Kyocera

When private application access outgrew homegrown tracking, Kyocera brought in SentinelOne.

Cisco@Kyocera

Information Technology teams at Kyocera treat Cisco as the working layer for network operations.

HubSpot@Kyocera

Information Technology teams at Kyocera treat HubSpot as the working layer for customer service operations.

Splunk@Kyocera

Kyocera folded Splunk Cloud into incident response so on-call engineers share one view of log investigation.

Genesys@Kytes

Product and growth teams at Kytes review customer messaging in Genesys Cloud CX rather than in personal files.

PTC@Kytes

Engineering and quality at Kytes review product lifecycle data in ThingWorx rather than in personal files.

AWS@Kytes

40-50% increase in platform adoption, 70% reduction in DevOps resources consumed, and 60% faster generative AI feature development.

Oracle@Kytes

Oracle Cloud ERP became the place Kytes uses to take orders through fulfillment and billing without rekeying between tools.

New Relic@Kytes

When security telemetry outgrew homegrown tracking, Kytes brought in New Relic.

Netskope@Kytes

When private application access outgrew homegrown tracking, Kytes brought in Netskope.

SAP@Kytes

SAP is how Kytes keeps financial close visible to people who have to act on it.

SentinelOne@Kytes

In India, Kytes relies on SentinelOne for remote access.

Proofpoint@Labelbox

Labelbox folded Security Awareness into security operations so SOC analysts share one view of endpoint detection.

Okta@Labelbox

Teams at Labelbox moved access control onto Okta after local tools started to collide.

Splunk@Labelbox

Splunk Cloud sits in the daily path at Labelbox, especially for on-call rotations.

UiPath@Labelbox

Information Technology teams at Labelbox treat UiPath as the working layer for shared services.

Akamai@Labelbox

Shared Guardicore Segmentation workspaces help Labelbox keep web performance honest across teams.

Pega@Lacework

Lacework uses Pega Customer Decision Hub to take incidents and requests through a single workflow instead of email chains.

monday.com@Lacework

Lacework asked for a cleaner operating picture of institutional knowledge. monday.com is what they run.

Snowflake@Lacework

Snowflake is how Lacework keeps feature pipelines visible to people who have to act on it.

Appian@Lacework

Lacework standardized IT service requests on Appian instead of keeping parallel copies.

Informatica@Lacework

In the United States, Lacework relies on Informatica for real-time operations.

PagerDuty@Lacework

AIOps became the place Lacework uses to turn operational signals into detections the SOC can actually use.