Comparison Overview
The Sagent Group

The Sagent Group
110 SE 4th Ave , Suite 110, Delray Beach, Florida, US, 33483
Last Update: 03/04/2026
At Sagent, we have a genuine commitment to being a technology solutions brokerage that delivers the personal attention that many partners are seeking to grow their business. We are dedicated to connecting partners with the best technology and cybersecurity solutions to ...

Akamai Technologies
8 Cambridge Center, Cambridge, MA, US, 02142
Last Update: 28/04/2026
At Akamai, we make life better for billions of people, billions of times a day. Every day, billions of people around the world connect with their favorite brands to shop online, play the latest video games, log into mobile banking apps, learn remotely, share videos wi...
Compliance Ranges Comparison

The Sagent Group







Akamai Technologies






Benchmark & Cyber Underwriting Signals
Incidents vs Technology, Information and Internet Industry Avg (This Year)
No incidents recorded for The Sagent Group in 2026.
Incidents vs Technology, Information and Internet Industry Avg (This Year)
Akamai Technologies has 92.31% more incidents than the average of all companies with at least one recorded incident.
Incident History - The Sagent Group (X = Date, Y = Severity)
The Sagent Group cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Akamai Technologies (X = Date, Y = Severity)
Akamai Technologies cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

The Sagent Group

Akamai Technologies
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.