Comparison Overview
Pavion, Formerly RFI

Pavion, Formerly RFI
360 Turtle Creek Court, None, San Jose, CA, US, 95125
Last Update: 03/04/2026
RFI Communications & Security Systems is recognized as one of the nation’s leading physical and logical security integrators. Our focus is in design, installation and maintenance of integrated systems. Check out our Products & Solutions pages for the latest in Securit...

Securitas Security Services USA, Inc.
9 Campus Drive, Parsippany, 07054, US
Last Update: 03/04/2026
Securitas knows Security. It is our only business. As The Leader in Protective Services, we invest in people, knowledge and technology to deliver customized, cost-effective and class-leading solutions. Our parent company, Securitas AB, is a global company headquartered ...
Compliance Ranges Comparison

Pavion, Formerly RFI







Securitas Security Services USA, Inc.






Benchmark & Cyber Underwriting Signals
Incidents vs Security and Investigations Industry Avg (This Year)
No incidents recorded for Pavion, Formerly RFI in 2026.
Incidents vs Security and Investigations Industry Avg (This Year)
No incidents recorded for Securitas Security Services USA, Inc. in 2026.
Incident History - Pavion, Formerly RFI (X = Date, Y = Severity)
Pavion, Formerly RFI cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Securitas Security Services USA, Inc. (X = Date, Y = Severity)
Securitas Security Services USA, Inc. cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Pavion, Formerly RFI

Securitas Security Services USA, Inc.
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.