Comparison Overview
Jamf Partners

Jamf Partners
100 Washington Square, 100 Washington Ave S #900, Minneapolis, Minnesota, US
Last Update: 26/06/2026
The Jamf Partner Community is committed to empowering partners with the resources, support, and enablement they need to succeed in selling and deploying Jamf’s innovative Apple device management and security solutions. With over 20 years of experience in device managem...

Cisco
Tasman Way, San Jose, 95134, US
Last Update: 18/07/2026
Cisco is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its custo...
Compliance Ranges Comparison

Jamf Partners







Cisco






Benchmark & Cyber Underwriting Signals
Incidents vs Software Development Industry Avg (This Year)
No incidents recorded for Jamf Partners in 2026.
Incidents vs Software Development Industry Avg (This Year)
Cisco has 2471.43% more incidents than the average of all companies with at least one recorded incident.
Incident History - Jamf Partners (X = Date, Y = Severity)
Jamf Partners cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Cisco (X = Date, Y = Severity)
Cisco cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Jamf Partners

Cisco
FAQ
Latest Global CVEs
Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A low-privileged authenticated user can send a specially crafted request to a Kibana machine learning feature, causing the server to exhaust available memory and become unavailable to all users.
Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated attacker with low-privilege access can trigger a denial of service condition in Kibana by sending a specially crafted, oversized request payload. Processing this user-supplied input requires resource-intensive memory allocation that can exhaust the available heap memory in the Kibana process, causing it to crash and become unavailable to all users.
Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to information disclosure via user-supplied identifiers that reference scheduled query result data from Kibana Spaces the requester is not authorized to access.
Incorrect Authorization (CWE-863) in Kibana can lead to integrity compromise of Machine Learning audit and notification records via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). A vulnerability exists in Kibana's Machine Learning functionality where a Machine Learning management endpoint performs an insufficient authorization check. The endpoint validates only a coarse privilege level but does not verify that the requesting user has access to the specific Machine Learning job or notification resources provided in the request. As a result, a low-privileged user with Machine Learning access in any Kibana space can manipulate Machine Learning audit and notification records for arbitrary jobs—including jobs in other spaces or belonging to other users—by leveraging Kibana's internally elevated credentials to write to restricted Machine Learning system indices that the user cannot access directly.
Uncontrolled Recursion (CWE-674) in Elasticsearch can lead to denial of service via a specially crafted search request submitted by a low-privileged authenticated user. A user with read-level index access can submit a request that triggers unbounded recursive processing within the Elasticsearch query evaluation component, causing a fatal error that terminates the affected node. In single-node deployments, this results in complete service outage; in multi-node clusters, it causes repeated node restarts and sustained availability degradation.